[11:04:30] Starting deep-research loop for packet 060 (10 iterations max)
[11:04:30] Repo: /Users/michelkerkmeester/MEGA/Development/Code_Environment/Public
[11:04:30] Packet: /Users/michelkerkmeester/MEGA/Development/Code_Environment/Public/.opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-report-alignment

[11:04:30] Building prompt for iteration 1...
[11:04:30] Dispatching copilot for iteration 1 (model=gpt-5.5)...
I’ll run this as a single research iteration: first locate the packet/report and target surfaces, then read only the sections needed for RQ-1 and RQ-3 before writing the required iteration file.

● skill(sk-deep-research)

I’ve loaded the deep-research protocol and will keep this bounded to one iteration. I’m checking the 059 lessons and the sk-improve-agent surfaces for script invocation and stress-test analogs before writing the iteration artifact.

● Search (grep)
  │ "stress|failure path|script|\.cjs|Run|invoke|score|journal|contractGate|beha
  │ viorGate|integrationGate|evidenceGate|improvementGate|critic|Critic"
  │ (.opencode/skills/sk-improve-agent/SKILL.md,
  │ .opencode/agents/improve-agent.md, .opencode/commands/improve/agent.md)
  └ 105 lines found

● Search (grep)
  │ "§9|Lessons|Single-task structural|Anti-patterns|tool-routing
  │ fidelity|Multi-model baseline|skill\(X\)|CP-027|CP-028" in
  │ **/059-*/test-report.md (.opencode/specs)
  └ 28 lines found

● Search (glob)
  │ ".opencode/skills/sk-improve-agent/scripts/*.cjs"
  └ 13 files found

● Search (glob)
  │ "research/**"
  └ No matches found

● Search (glob)
  │ ".opencode/specs/**/059-*/test-report.md"
  └ 1 file found

The first pass shows the relevant 059 lessons and that the sk-improve-agent script count in the checked-in `scripts/*.cjs` directory appears to be 13, not 14. I’m narrowing to the command workflow and exact line ranges now so the write-up can cite only concrete evidence.

● Read test-report.md
  │ .opencode/specs/skilled-agent-orchestration/059-agent-implement-code/test-re
  │ port.md
  └ L449:466 (17 lines read)

● Read test-report.md
  │ .opencode/specs/skilled-agent-orchestration/059-agent-implement-code/test-re
  │ port.md
  └ L91:140 (49 lines read)

● Read improve-agent.md
  │ .opencode/agents/improve-agent.md
  └ L24:40 (17 lines read)

● Read SKILL.md
  │ .opencode/skills/sk-improve-agent/SKILL.md
  └ L389:442 (54 lines read)

● Read SKILL.md
  │ .opencode/skills/sk-improve-agent/SKILL.md
  └ L185:221 (37 lines read)

● Read SKILL.md
  │ .opencode/skills/sk-improve-agent/SKILL.md
  └ L262:351 (90 lines read)

● Read improve-agent.md
  │ .opencode/agents/improve-agent.md
  └ L155:184 (30 lines read)

● Read agent.md
  │ .opencode/commands/improve/agent.md
  └ L188:303 (116 lines read)

● Read agent.md
  │ .opencode/commands/improve/agent.md
  └ L400:406 (7 lines read)

● Search (glob)
  │ ".opencode/commands/improve/assets/*"
  └ 2 files found

● Search (glob)
  │ ".opencode/skills/sk-improve-agent/scripts/**/*.cjs"
  └ 13 files found

The target command has explicit workflow steps and YAML asset references; the skill file itself only describes the scripts. I’m checking the actual auto workflow now to distinguish “documented helper” from “wired execution.”

● Read improve_improve-agent_auto.yaml
  └ .opencode/commands/improve/assets/improve_improve-agent_auto.yaml

● Read improve_improve-agent_auto.yaml
  │ .opencode/commands/improve/assets/improve_improve-agent_auto.yaml
  └ L1:220 (204 lines read)

● Search (grep)
  │ "scan-integration|generate-profile|score-candidate|run-benchmark|reduce-stat
  │ e|improvement-journal|check-mirror-drift|mutation-coverage|trade-off-detecto
  │ r|candidate-lineage|benchmark-stability|promote-candidate|rollback-candidate
  │ " (.opencode/commands/improve/assets/improve_improve-agent_auto.yaml,
  │ .opencode/commands/improve/assets/improve_improve-agent_confirm.yaml)
  └ 43 lines found

● Search (grep)
  │ "contractGate|behaviorGate|integrationGate|evidenceGate|improvementGate|bloc
  │ kedStop|legal_stop|legal-stop|gate_evaluation"
  │ (.opencode/skills/sk-improve-agent/scripts, .opencode/commands/improve/assets)
  └ 15 lines found

✗ Search (grep)
  │ "score-candidate|multi-model|model|gpt|opus|sonnet|attribution|benchmark"
  │ (.opencode/skills/sk-improve-agent,  .opencode/commands/improve/agent.md)
  └ rg:  .opencode/commands/improve/agent.md: No such file or directory (os error
    2)

● Read improvement-journal.cjs
  │ .opencode/skills/sk-improve-agent/scripts/improvement-journal.cjs
  └ L1:90 (90 lines read)

● Read reduce-state.cjs
  │ .opencode/skills/sk-improve-agent/scripts/reduce-state.cjs
  └ L880:904 (25 lines read)

● Read reduce-state.cjs
  │ .opencode/skills/sk-improve-agent/scripts/reduce-state.cjs
  └ L190:220 (31 lines read)

● Search (grep)
  │ "CP-[0-9]|stress|failure path|fail-closed|baseline|Call A|Call
  │ B|same-task|grep-only|grepable|grep-able|multi-model|gpt-5\.5|opus|sonnet"
  │ (.opencode/skills/sk-improve-agent)
  └ 36 lines found

● List sk-improve-agent scripts (shell)
  │ find .opencode/skills/sk-improve-agent/scripts -maxdepth 1 -type f -name
  │ '*.cjs' -print | sort | nl -ba
  └ 14 lines...

I have enough evidence for RQ-1/RQ-3 and a useful partial-to-answerable RQ-7 finding: the command workflow wires some scripts, but not merely from skill load, and the legal-stop journal path is only partly explicit. I’m creating the iteration output in the requested research packet path now.

● Create research iterations directory (shell)
  │ mkdir -p research/iterations
  └ 1 line...

● Edit
  └ Create research/iterations/iteration-001.md

Wrote the iteration findings to `research/iterations/iteration-001.md`.

The iteration focuses on RQ-1, RQ-3, and RQ-7, with cited evidence, sketched diffs, and CP-style stress-test scenarios.


Changes   +148 -0
Requests  7.5 Premium (2m 10s)
Tokens    ↑ 450.9k • ↓ 8.6k • 376.3k (cached) • 2.7k (reasoning)
[11:06:41] Iteration 1 copilot exit=0
[11:06:41] WARNING: copilot did not write /Users/michelkerkmeester/MEGA/Development/Code_Environment/Public/.opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-report-alignment/research/iterations/iteration-001.md
[11:06:41] Building prompt for iteration 2...
[11:06:41] Dispatching copilot for iteration 2 (model=gpt-5.5)...
I’ll run this as a single research iteration: target the open RQs, read only the specific methodology and sk-improve-agent surfaces needed, then write the iteration report to the requested path.

● skill(sk-deep-research)

I’m narrowing this to grep-checkable protocol gaps across the improve skill, agent, command, and supporting scripts so the iteration adds evidence instead of broad rereads.

● Search (grep)
  │ "L[1-5]:|stress-test|failure paths|Critic|multi-model|Call A|Call
  │ B|grep|CP-027|CP-028|5/2/1|6/2/0|8/0/0" (.opencode/specs/skilled-agent-orche
  │ stration/059-agent-implement-code/test-report.md)
  └ 7 lines found

● Search (grep)
  │ "stress|failure path|failure-path|Critic|challenge|anti-pattern|script|scrip
  │ ts/|model|baseline|Call A|Call B|mirror|runtime|contractGate|behaviorGate|in
  │ tegrationGate|evidenceGate|improvementGate|journal|grep|transcript"
  │ (.opencode/skills/sk-improve-agent, .opencode/agents/improve-agent.md,
  │ .opencode/commands/improve/agent.md)
  └ 10 lines found

● Search (glob)
  │ ".opencode/skills/sk-improve-agent/references/*.md"
  └ 10 files found

● Search (glob)
  │ ".opencode/skills/sk-improve-agent/scripts/*.cjs"
  └ 13 files found

● Search (glob)
  │ "research/iterations/*"
  └ 1 file found

The first pass confirmed the support surface is broad and the initial grep was too noisy, so I’m switching to targeted line-range reads around the methodology lessons and the specific improve-agent protocol hooks.

● Search (grep)
  │ "Lessons Learned|Framework Lessons|L1:|Single-task structural|Critic
  │ challenges|tool-routing fidelity|Multi-model
  │ baseline|skill\(X\)|same-task|grep-only|score progression|CP-027|CP-028"
  │ (.opencode/specs/skilled-agent-orchestration/059-agent-implement-code/test-r
  │ eport.md)
  └ 8 lines found

● Search (grep)
  │ "Critic|challenge|anti-pattern|red team|red-team|adversarial"
  │ (.opencode/skills/sk-improve-agent/SKILL.md,
  │ .opencode/agents/improve-agent.md, .opencode/commands/improve/agent.md,
  │ .opencode/skills/sk-improve-agent/references)
  └ No matches found

● Search (grep)
  │ "mirror|drift|runtime|\.claude|\.gemini|\.codex|\.opencode"
  │ (.opencode/skills/sk-improve-agent/SKILL.md,
  │ .opencode/agents/improve-agent.md, .opencode/commands/improve/agent.md,
  │ .opencode/skills/sk-improve-agent/references)
  └ 9 lines found

● Search (grep)
  │ "baseline|Call A|Call B|multi-model|model|attribution|benchmark|score
  │ progression|grep" (.opencode/skills/sk-improve-agent/SKILL.md,
  │ .opencode/agents/improve-agent.md, .opencode/commands/improve/agent.md,
  │ .opencode/skills/sk-improve-agent/references,
  │ .opencode/skills/sk-improve-agent/scripts)
  └ 12 lines found

● Search (grep)
  │ "contractGate|behaviorGate|integrationGate|evidenceGate|improvementGate|LEGA
  │ L_STOP|legal-stop|legal stop|journal" (.opencode/skills/sk-improve-agent,
  │ .opencode/agents/improve-agent.md, .opencode/commands/improve/agent.md)
  └ 11 lines found

● Search (glob)
  │ ".opencode/skills/sk-improve-agent/scripts/**/*.cjs"
  └ 13 files found

● Search (grep)
  │ "^##|^###" (.opencode/specs/skilled-agent-orchestration/059-agent-implement-
  │ code/test-report.md)
  └ 45 lines found

● Search (grep)
  │ "^## 9|^### 9|^## .*Lessons|^### .*Lessons|^## .*Framework|^### .*Framework"
  │ (.opencode/specs/skilled-agent-orchestration/059-agent-implement-code/test-r
  │ eport.md)
  └ 1 line found

● Search (grep)
  │ "^##|^###" (.opencode/skills/sk-improve-agent/SKILL.md,
  │ .opencode/agents/improve-agent.md, .opencode/commands/improve/agent.md)
  └ 90 lines found

● Search (grep)
  │ "contractGate|behaviorGate|integrationGate|evidenceGate|improvementGate"
  │ (.opencode/skills/sk-improve-agent, .opencode/agents/improve-agent.md,
  │ .opencode/commands/improve/agent.md)
  └ 18 lines found

● Search (grep)
  │ "^\s*node .*scripts/|scripts/[a-zA-Z0-9_.-]+\.cjs|check-mirror-drift|scan-in
  │ tegration|score-candidate|run-benchmark|improvement-journal|reduce-state"
  │ (.opencode/skills/sk-improve-agent/SKILL.md,
  │ .opencode/commands/improve/agent.md, .opencode/agents/improve-agent.md)
  └ 44 lines found

● Read test-report.md
  │ .opencode/specs/skilled-agent-orchestration/059-agent-implement-code/test-re
  │ port.md
  └ L332:360 (29 lines read)

● Read test-report.md
  │ .opencode/specs/skilled-agent-orchestration/059-agent-implement-code/test-re
  │ port.md
  └ L174:220 (47 lines read)

● Read test-report.md
  │ .opencode/specs/skilled-agent-orchestration/059-agent-implement-code/test-re
  │ port.md
  └ L79:121 (42 lines read)

● Read agent.md
  │ .opencode/commands/improve/agent.md
  └ L1:155 (154 lines read)

● Read SKILL.md
  │ .opencode/skills/sk-improve-agent/SKILL.md
  └ L183:221 (39 lines read)

● Read SKILL.md
  │ .opencode/skills/sk-improve-agent/SKILL.md
  └ L320:442 (123 lines read)

● Read improve-agent.md
  │ .opencode/agents/improve-agent.md
  └ L32:173 (142 lines read)

● Read SKILL.md
  │ .opencode/skills/sk-improve-agent/SKILL.md
  └ L234:278 (45 lines read)

● Read agent.md
  │ .opencode/commands/improve/agent.md
  └ L238:306 (69 lines read)

● Read test-report.md
  │ .opencode/specs/skilled-agent-orchestration/059-agent-implement-code/test-re
  │ port.md
  └ L445:487 (42 lines read)

● Read agent.md
  │ .opencode/commands/improve/agent.md
  └ L154:176 (22 lines read)

● Read agent.md
  │ .opencode/commands/improve/agent.md
  └ L420:456 (36 lines read)

● Read benchmark_operator_guide.md
  │ .opencode/skills/sk-improve-agent/references/benchmark_operator_guide.md
  └ L1:220 (99 lines read)

● Read loop_protocol.md
  │ .opencode/skills/sk-improve-agent/references/loop_protocol.md
  └ L1:220 (93 lines read)

● Read evaluator_contract.md
  │ .opencode/skills/sk-improve-agent/references/evaluator_contract.md
  └ L1:220 (135 lines read)

● Read agent.md
  │ .opencode/commands/improve/agent.md
  └ L306:337 (31 lines read)

● Read mirror_drift_policy.md
  │ .opencode/skills/sk-improve-agent/references/mirror_drift_policy.md
  └ L1:220 (75 lines read)

● Read 028-legal-stop-gates.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/07--runtime-truth/0
  │ 28-legal-stop-gates.md
  └ L1:80 (79 lines read)

● Read improve-agent.md
  │ .opencode/agents/improve-agent.md
  └ L175:196 (21 lines read)

● Search (grep)
  │ "\.opencode/agent|\.claude/agents|\.gemini/agents|\.codex/agents|mirror"
  │ (.opencode/skills/sk-improve-agent/scripts/scan-integration.cjs,
  │ .opencode/skills/sk-improve-agent/scripts/check-mirror-drift.cjs)
  └ 98 lines found

● Search (grep)
  │ "Call A|Call B|baseline|disciplined|same-task|A/B|grep"
  │ (.opencode/skills/sk-improve-agent/SKILL.md,
  │ .opencode/agents/improve-agent.md, .opencode/commands/improve/agent.md,
  │ .opencode/skills/sk-improve-agent/references,
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook)
  └ 19 lines found

● Search (grep)
  │ "model|gpt|sonnet|opus|multi-model|attribution"
  │ (.opencode/skills/sk-improve-agent/SKILL.md,
  │ .opencode/agents/improve-agent.md, .opencode/commands/improve/agent.md,
  │ .opencode/skills/sk-improve-agent/references,
  │ .opencode/skills/sk-improve-agent/scripts,
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook)
  └ 3 lines found

● Search (grep)
  │ "Critic|SELF-CHECK|challenge|anti-pattern|failure path|stress|scenario"
  │ (.opencode/skills/sk-improve-agent/SKILL.md,
  │ .opencode/agents/improve-agent.md, .opencode/commands/improve/agent.md,
  │ .opencode/skills/sk-improve-agent/references,
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook)
  └ 8 lines found

● Read check-mirror-drift.cjs
  │ .opencode/skills/sk-improve-agent/scripts/check-mirror-drift.cjs
  └ L51:143 (93 lines read)

● Read scan-integration.cjs
  │ .opencode/skills/sk-improve-agent/scripts/scan-integration.cjs
  └ L1:110 (110 lines read)

● Read scan-integration.cjs
  │ .opencode/skills/sk-improve-agent/scripts/scan-integration.cjs
  └ L190:231 (41 lines read)

● Search (grep)
  │ "gpt|sonnet|opus|multi-model|attribution|--model"
  │ (.opencode/skills/sk-improve-agent/SKILL.md,
  │ .opencode/agents/improve-agent.md, .opencode/commands/improve/agent.md,
  │ .opencode/skills/sk-improve-agent/references,
  │ .opencode/skills/sk-improve-agent/scripts)
  └ No matches found

● Search (grep)
  │ "failure path|stress-test|stress test|stress|CP-|scenario battery|same-task
  │ A/B|Call A|Call B|grep-only|LLM-as-judge"
  │ (.opencode/skills/sk-improve-agent/SKILL.md,
  │ .opencode/agents/improve-agent.md, .opencode/commands/improve/agent.md,
  │ .opencode/skills/sk-improve-agent/references,
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook)
  └ 1 line found

● Read agent.md
  │ .opencode/commands/improve/agent.md
  └ L400:406 (7 lines read)

● Read manual_testing_playbook.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/manual_testing_play
  │ book.md
  └ L1:40 (40 lines read)

● Search (grep)
  │ "^#|^##|^###" (.opencode/skills/sk-improve-agent/manual_testing_playbook/manu
  │ al_testing_playbook.md)
  └ 120 lines found

● Search (grep)
  │ "manual-testing orchestrator|Validate|Expected
  │ signals|Pass/fail|grep|terminal transcript|command output|PASS/FAIL verdict"
  │ (.opencode/skills/sk-improve-agent/manual_testing_playbook)
  └ 32 files found

● Search (grep)
  │ "scan-integration|generate-profile|score-candidate|run-benchmark|reduce-stat
  │ e|promote-candidate|rollback-candidate|check-mirror-drift|improvement-journa
  │ l|mutation-coverage|trade-off-detector|candidate-lineage|benchmark-stability
  │ " (.opencode/commands/improve/assets)
  └ 43 lines found

● Search (grep)
  │ "step_record_baseline|step_generate_candidate|Task|@improve-agent|score-cand
  │ idate|run-benchmark|reduce-state|legal_stop|gateResults|blocked_stop|improve
  │ ment-journal"
  │ (.opencode/commands/improve/assets/improve_improve-agent_auto.yaml,
  │ .opencode/commands/improve/assets/improve_improve-agent_confirm.yaml)
  └ 123 lines found

● Search (glob)
  │ ".opencode/commands/improve/assets/*improve-agent*.yaml"
  └ 2 files found

● Read improve_improve-agent_auto.yaml
  │ .opencode/commands/improve/assets/improve_improve-agent_auto.yaml
  └ L126:185 (60 lines read)

● Read improve_improve-agent_auto.yaml
  │ .opencode/commands/improve/assets/improve_improve-agent_auto.yaml
  └ L186:205 (19 lines read)

● Read improve_improve-agent_confirm.yaml
  │ .opencode/commands/improve/assets/improve_improve-agent_confirm.yaml
  └ L193:245 (53 lines read)

● Read improve_improve-agent_auto.yaml
  │ .opencode/commands/improve/assets/improve_improve-agent_auto.yaml
  └ L84:94 (10 lines read)

● Read improve_improve-agent_confirm.yaml
  │ .opencode/commands/improve/assets/improve_improve-agent_confirm.yaml
  └ L90:100 (10 lines read)

● Read manual_testing_playbook.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/manual_testing_play
  │ book.md
  └ L47:120 (73 lines read)

● Read 020-full-pipeline.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/06--end-to-end-loop
  │ /020-full-pipeline.md
  └ L20:50 (30 lines read)

● Read 002-scan-missing-agent.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/01--integration-sca
  │ nner/002-scan-missing-agent.md
  └ L20:50 (30 lines read)

● Read 013-missing-candidate.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/03--5d-scorer/013-m
  │ issing-candidate.md
  └ L20:50 (30 lines read)

I’ve got enough evidence now: the key pattern is that sk-improve-agent already has deterministic script/playbook coverage, but it does not yet have the 059-style A/B stress harness or an active Critic challenge inside the mutator loop.

● Edit
  └ Create research/iterations/iteration-002.md

Wrote `research/iterations/iteration-002.md` with 7 new findings covering RQ-1 through RQ-7.

Key outcome: sk-improve-agent has deterministic playbook/script coverage, but not yet a 059-style A/B failure-path stress harness; the strongest concrete gaps are missing active Critic challenges, incomplete legal-stop journal emission, no multi-model attribution layer, and mirror scanner/runtime path drift around `.gemini`.


Changes   +185 -0
Requests  7.5 Premium (2m 44s)
Tokens    ↑ 1.0m • ↓ 11.7k • 908.3k (cached) • 2.3k (reasoning)
[11:09:28] Iteration 2 copilot exit=0
[11:09:28] WARNING: copilot did not write /Users/michelkerkmeester/MEGA/Development/Code_Environment/Public/.opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-report-alignment/research/iterations/iteration-002.md
[11:09:28] Building prompt for iteration 3...
[11:09:28] Dispatching copilot for iteration 3 (model=gpt-5.5)...
I’ll run this as one focused research iteration: first load the deep-research/spec workflow context and target only the packet 059 lessons plus the improve-agent surfaces needed to answer the open RQs, then write the single required iteration file.

● skill(sk-deep-research)

I’m narrowing this to the seven RQs with emphasis on executable evidence: stress-test analogs, critic placement, script invocation, multi-model attribution, A/B differential, runtime mirroring, and legal-stop gate auditability.

● Search (grep)
  │ "L1|L2|L3|L4|L5|CP-027|CP-028|grep|multi-model|Call A|Call
  │ B|stress-test|failure paths|skill\(" (.opencode/specs/skilled-agent-orchestr
  │ ation/059-agent-implement-code/test-report.md)
  └ 7 lines found

● Search (grep)
  │ "contractGate|behaviorGate|integrationGate|evidenceGate|improvementGate|crit
  │ ic|Critic|stress|failure|Call A|Call B|baseline|multi-model|model|mirror|run
  │ time|\.claude|\.gemini|\.codex|script|scripts|journal|grep|judge"
  │ (.opencode/skills/sk-improve-agent, .opencode/agents/improve-agent.md,
  │ .opencode/commands/improve/agent.md)
  └ 9 lines found

● Search (glob)
  │ "research/**"
  └ 2 files found

The broad grep confirmed there is enough signal but was too noisy, so I’m switching to targeted line reads around the exact sections and terms needed for citable findings.

● Search (grep)
  │ "^## 9|Lessons|L1|L2|L3|L4|L5|CP-027|CP-028|Call A|Call
  │ B|multi-model|grep-only|same-task" (.opencode/specs/skilled-agent-orchestrat
  │ ion/059-agent-implement-code/test-report.md)
  └ 43 lines found

● Search (grep)
  │ "contractGate|behaviorGate|integrationGate|evidenceGate|improvementGate"
  │ (.opencode/skills/sk-improve-agent/SKILL.md,
  │ .opencode/agents/improve-agent.md, .opencode/commands/improve/agent.md)
  └ 23 lines found

● Search (grep)
  │ "Critic|critic|anti-pattern|challenge|challenge prompt|red-team|red team"
  │ (.opencode/skills/sk-improve-agent/SKILL.md,
  │ .opencode/agents/improve-agent.md, .opencode/commands/improve/agent.md,
  │ .opencode/skills/sk-improve-agent/references)
  └ No matches found

● Search (grep)
  │ "script|scripts/|node .*\.cjs|\.cjs|npm|Bash|MUST run|Run "
  │ (.opencode/skills/sk-improve-agent/SKILL.md,
  │ .opencode/agents/improve-agent.md, .opencode/commands/improve/agent.md)
  └ 8 lines found

● Search (grep)
  │ "model|multi-model|baseline|attribution|A/B|Call A|Call
  │ B|differential|grep|journal|transcript"
  │ (.opencode/skills/sk-improve-agent/SKILL.md,
  │ .opencode/agents/improve-agent.md, .opencode/commands/improve/agent.md,
  │ .opencode/skills/sk-improve-agent/references)
  └ 7 lines found

● Search (grep)
  │ "mirror|runtime|\.opencode|\.claude|\.gemini|\.codex|cross-runtime|adapter"
  │ (.opencode/skills/sk-improve-agent/SKILL.md,
  │ .opencode/agents/improve-agent.md, .opencode/commands/improve/agent.md,
  │ .opencode/skills/sk-improve-agent/references)
  └ 7 lines found

● Read test-report.md
  │ .opencode/specs/skilled-agent-orchestration/059-agent-implement-code/test-re
  │ port.md
  └ L49:113 (65 lines read)

● Read test-report.md
  │ .opencode/specs/skilled-agent-orchestration/059-agent-implement-code/test-re
  │ port.md
  └ L127:164 (38 lines read)

● Read test-report.md
  │ .opencode/specs/skilled-agent-orchestration/059-agent-implement-code/test-re
  │ port.md
  └ L445:477 (33 lines read)

● Read SKILL.md
  │ .opencode/skills/sk-improve-agent/SKILL.md
  └ L1:95 (95 lines read)

● Read SKILL.md
  │ .opencode/skills/sk-improve-agent/SKILL.md
  └ L240:285 (45 lines read)

● Read improve-agent.md
  │ .opencode/agents/improve-agent.md
  └ L140:210 (71 lines read)

● Read agent.md
  │ .opencode/commands/improve/agent.md
  └ L250:340 (91 lines read)

● Read agent.md
  │ .opencode/commands/improve/agent.md
  └ L1:105 (105 lines read)

● Read test-report.md
  │ .opencode/specs/skilled-agent-orchestration/059-agent-implement-code/test-re
  │ port.md
  └ L226:256 (30 lines read)

● Read improve-agent.md
  │ .opencode/agents/improve-agent.md
  └ L1:80 (80 lines read)

● Search (glob)
  │ ".opencode/skills/sk-improve-agent/scripts/*.cjs"
  └ 13 files found

● Search (glob)
  │ ".opencode/skills/sk-improve-agent/references/*"
  └ 10 files found

● Read mirror_drift_policy.md
  │ .opencode/skills/sk-improve-agent/references/mirror_drift_policy.md
  └ L1:220 (75 lines read)

● Read evaluator_contract.md
  │ .opencode/skills/sk-improve-agent/references/evaluator_contract.md
  └ L1:220 (135 lines read)

● Read no_go_conditions.md
  │ .opencode/skills/sk-improve-agent/references/no_go_conditions.md
  └ L1:220 (55 lines read)

● Search (grep)
  │ "contractGate|behaviorGate|integrationGate|evidenceGate|improvementGate|lega
  │ l_stop|legal-stop|blockedStop|gateResults|gate_evaluation|legal_stop_evaluat
  │ ed" (.opencode/skills/sk-improve-agent/scripts)
  └ 55 lines found

● Search (grep)
  │ "process\.argv|commander|yargs|--|Usage|require\.main|module\.exports|functi
  │ on main|if \(require\.main" (.opencode/skills/sk-improve-agent/scripts)
  └ 9 lines found

● Search (grep)
  │ "model|models|gpt|sonnet|opus|multi-model|attribution|baseline|A/B|Call
  │ A|Call B" (.opencode/skills/sk-improve-agent,
  │ .opencode/agents/improve-agent.md, .opencode/commands/improve/agent.md)
  └ 7 lines found

● Search (glob)
  │ ".opencode/skills/sk-improve-agent/**/*.cjs"
  └ 13 files found

● Search (glob)
  │ ".opencode/skills/sk-improve-agent/assets/*"
  └ 5 files found

● Read agent.md
  │ .opencode/commands/improve/agent.md
  └ L210:249 (39 lines read)

● Read score-candidate.cjs
  │ .opencode/skills/sk-improve-agent/scripts/score-candidate.cjs
  └ L1:140 (140 lines read)

● Read reduce-state.cjs
  │ .opencode/skills/sk-improve-agent/scripts/reduce-state.cjs
  └ L204:220 (17 lines read)

● Read scan-integration.cjs
  │ .opencode/skills/sk-improve-agent/scripts/scan-integration.cjs
  └ L1:170 (170 lines read)

● Read reduce-state.cjs
  │ .opencode/skills/sk-improve-agent/scripts/reduce-state.cjs
  └ L880:898 (19 lines read)

● Read benchmark_operator_guide.md
  │ .opencode/skills/sk-improve-agent/references/benchmark_operator_guide.md
  └ L1:180 (99 lines read)

● Read promotion_rules.md
  │ .opencode/skills/sk-improve-agent/references/promotion_rules.md
  └ L1:180 (88 lines read)

● Read improvement-journal.cjs
  │ .opencode/skills/sk-improve-agent/scripts/improvement-journal.cjs
  └ L1:125 (125 lines read)

A key discrepancy surfaced: the docs describe `.gemini` as a mirror surface, but the scanner’s hard-coded mirror list uses `.agents/agents` instead. I’m checking whether that affects the legal-stop and integration evidence paths before writing the iteration file.

● Read score-candidate.cjs
  │ .opencode/skills/sk-improve-agent/scripts/score-candidate.cjs
  └ L136:230 (94 lines read)

● Read score-candidate.cjs
  │ .opencode/skills/sk-improve-agent/scripts/score-candidate.cjs
  └ L300:390 (71 lines read)

● Read iteration-001.md
  │ research/iterations/iteration-001.md
  └ 147 lines read

● Read check-mirror-drift.cjs
  │ .opencode/skills/sk-improve-agent/scripts/check-mirror-drift.cjs
  └ L1:180 (147 lines read)

● Read run-benchmark.cjs
  │ .opencode/skills/sk-improve-agent/scripts/run-benchmark.cjs
  └ L1:140 (139 lines read)

● Read run-benchmark.cjs
  │ .opencode/skills/sk-improve-agent/scripts/run-benchmark.cjs
  └ L220:320 (77 lines read)

● Read iteration-002.md
  │ research/iterations/iteration-002.md
  └ 184 lines read

● Search (grep)
  │ "Critic|critic|challenge|red-team|red team|Call A|Call
  │ B|A/B|multi-model|stress-test|stress test|failure path|CP-0"
  │ (.opencode/skills/sk-improve-agent/SKILL.md,
  │ .opencode/agents/improve-agent.md, .opencode/commands/improve/agent.md,
  │ .opencode/skills/sk-improve-agent/references,
  │ .opencode/skills/sk-improve-agent/assets)
  └ No matches found

● Read agent.md
  │ .opencode/commands/improve/agent.md
  └ L390:456 (66 lines read)

● Read SKILL.md
  │ .opencode/skills/sk-improve-agent/SKILL.md
  └ L386:443 (58 lines read)

● Read improve_improve-agent_auto.yaml
  │ .opencode/commands/improve/assets/improve_improve-agent_auto.yaml
  └ L84:205 (121 lines read)

● Read improve_improve-agent_confirm.yaml
  │ .opencode/commands/improve/assets/improve_improve-agent_confirm.yaml
  └ L217:245 (29 lines read)

✗ Search (grep)
  │ "gateResults|contractGate|behaviorGate|integrationGate|evidenceGate|improvem
  │ entGate|legal_stop_evaluated|blocked_stop"
  │ (.opencode/skills/sk-improve-agent/scripts/*.cjs,
  │ .opencode/commands/improve/assets/*.yaml)
  └ rg: /Users/michelkerkmeester/MEGA/Development/Code_Environment/Public/.openc
    ode/skill/sk-improve-agent/scripts/*.cjs: No such file or directory (os
    error 2)
    rg: /Users/michelkerkmeester/MEGA/Development/Code_Environment/Public/.openc
    ode/command/improve/assets/*.yaml: No such file or directory (os error 2)

● Search (grep)
  │ "model|gpt|sonnet|opus|claude|codex|gemini|executor"
  │ (.opencode/skills/sk-improve-agent/scripts/score-candidate.cjs,
  │ .opencode/skills/sk-improve-agent/scripts/run-benchmark.cjs,
  │ .opencode/commands/improve/assets/improve_improve-agent_auto.yaml,
  │ .opencode/commands/improve/assets/improve_improve-agent_confirm.yaml)
  └ No matches found

I’ve got enough evidence for a non-duplicative iteration: the strongest new value is in the executable layer—deterministic scorer/benchmark shape, missing model dimension, mirror-template mismatch, and legal-stop event schema gaps. I’m writing the required iteration file now.

● Edit
  └ Create research/iterations/iteration-003.md

Wrote `research/iterations/iteration-003.md` with focused findings for iteration 3.

The iteration adds new evidence on the executable layer: no multi-model attribution in the scorer/benchmark pipeline, a `.gemini` mirror mismatch in scanner defaults, under-specified legal-stop journal validation, no active Critic challenge in the triad, and a grep-checkable Call A/Call B stress-test shape.


Changes   +161 -0
Requests  7.5 Premium (2m 44s)
Tokens    ↑ 651.2k • ↓ 11.1k • 572.9k (cached) • 2.8k (reasoning)
[11:12:14] Iteration 3 copilot exit=0
[11:12:14] WARNING: copilot did not write /Users/michelkerkmeester/MEGA/Development/Code_Environment/Public/.opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-report-alignment/research/iterations/iteration-003.md
[11:12:14] Convergence detected at iteration 3 (3 consecutive yes signals). Stopping early.
[11:12:14] Loop complete. 3 iterations written.
[11:12:14] Next step: synthesize 3 iterations into research/research.md (separate dispatch)

[11:15:36] === RESUMING with v2 runner: iterations 4..10 ===
[11:15:36] Building prompt for iteration 4 (v2 absolute paths)...
[11:15:36] Dispatching copilot for iteration 4 (model=gpt-5.5)...
I’ll run this as a single focused research iteration: first load the prior iteration notes, then target only the weakest gaps and write the requested iteration file.

● skill(sk-deep-research)

I’ve loaded the deep-research protocol and am reading the three previous iteration notes now so this pass targets only uncaptured gaps.

● Read iteration-001.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-001.md
  └ 147 lines read

● Read iteration-003.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-003.md
  └ 160 lines read

● Read iteration-002.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-002.md
  └ 184 lines read

The prior notes already answer every RQ at prose level, so I’m narrowing this pass to the executable evidence gap they left: whether the manual/runtime truth checks are actually enforced by scripts or only described.

● Search (grep)
  │ "legal_stop_evaluated|blocked_stop|gateResults|failedGates|run-benchmark\.cj
  │ s|candidate_scored|model|executor" (.opencode/commands/improve,
  │ .opencode/agents/improve-agent.md)
  └ 11 lines found

● Search (grep)
  │ "legal_stop_evaluated|blocked_stop|gateResults|failedGates|manual_testing_pl
  │ aybook|run-benchmark\.cjs|model|executor|Call A|Call
  │ B|stress|Critic|challenge" (.opencode/skills/sk-improve-agent)
  └ 6 lines found

● Search (glob)
  │ ".opencode/skills/sk-improve-agent/**/*"
  └ 98 files found

● Read improvement-journal.vitest.ts
  │ .opencode/skills/sk-improve-agent/scripts/tests/improvement-journal.vitest.ts
  └ 233 lines read

● Read manual_testing_playbook.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/manual_testing_play
  │ book.md
  └ L1:120 (119 lines read)

● Read 032-journal-wiring.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/07--runtime-truth/0
  │ 32-journal-wiring.md
  └ 88 lines read

● Read 028-legal-stop-gates.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/07--runtime-truth/0
  │ 28-legal-stop-gates.md
  └ 86 lines read

● Read improvement-journal.cjs
  │ .opencode/skills/sk-improve-agent/scripts/improvement-journal.cjs
  └ L1:130 (130 lines read)

● Read manual_testing_playbook.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/manual_testing_play
  │ book.md
  └ L117:220 (104 lines read)

● Read run-benchmark.cjs
  │ .opencode/skills/sk-improve-agent/scripts/run-benchmark.cjs
  └ L1:170 (170 lines read)

● Read run-benchmark.cjs
  │ .opencode/skills/sk-improve-agent/scripts/run-benchmark.cjs
  └ L210:290 (81 lines read)

● Search (grep)
  │ "legal_stop_evaluated|blocked_stop|gateResults|failedGates"
  │ (.opencode/skills/sk-improve-agent/scripts/tests)
  └ No matches found

● Search (grep)
  │ "run-benchmark\.cjs|benchmark_completed|benchmark-results|model|executor|gpt
  │ |opus|sonnet|claude" (.opencode/skills/sk-improve-agent/scripts,
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/07--runtime-truth)
  └ 7 lines found

● Read manual_testing_playbook.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/manual_testing_play
  │ book.md
  └ L460:560 (100 lines read)

● Read benchmark-stability.vitest.ts
  │ .opencode/skills/sk-improve-agent/scripts/tests/benchmark-stability.vitest.ts
  └ L1:160 (160 lines read)

● Read improve-agent.md
  │ .opencode/agents/improve-agent.md
  └ L150:166 (16 lines read)

● Read improve_improve-agent_auto.yaml
  │ .opencode/commands/improve/assets/improve_improve-agent_auto.yaml
  └ L150:205 (55 lines read)

● Read improve_improve-agent_confirm.yaml
  │ .opencode/commands/improve/assets/improve_improve-agent_confirm.yaml
  └ L185:245 (61 lines read)

● Read manual_testing_playbook.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/manual_testing_play
  │ book.md
  └ L551:680 (70 lines read)

● Search (glob)
  │ ".opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repo
  │ rt-alignment/research/iterations/iteration-004.md"
  └ No matches found

● Get current UTC timestamp (shell)
  │ date -u +%Y-%m-%dT%H:%M:%SZ
  └ 2 lines...

I found a sharper gap than the earlier passes: the docs describe runtime-truth checks, but the automated/helper layer mainly validates weaker journal boundaries, so I’m writing that as iteration 4’s net-new evidence.

● Edit
  └ Create .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-tes
    t-report-alignment/research/iterations/iteration-004.md

Wrote iteration 4 findings to:

`.opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-report-alignment/research/iterations/iteration-004.md`


Changes   +166 -0
Requests  7.5 Premium (1m 46s)
Tokens    ↑ 685.7k • ↓ 7.3k • 616.4k (cached) • 1.9k (reasoning)
[11:17:25] Iteration 4 copilot exit=0
[11:17:25] Building prompt for iteration 5 (v2 absolute paths)...
[11:17:25] Dispatching copilot for iteration 5 (model=gpt-5.5)...
I’ll run this as a single focused research iteration: first load the prior iteration outputs and route through the relevant deep-research/spec workflow, then target only the weakest remaining evidence and write the required iteration file.

● skill(sk-deep-research)

I’ve loaded the deep-research workflow context. Next I’m reading the four prior iteration files together so this pass can avoid duplicating already-settled RQs.

● Read iteration-001.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-001.md
  └ 147 lines read

● Read iteration-003.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-003.md
  └ 160 lines read

● Read iteration-002.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-002.md
  └ 184 lines read

● Read iteration-004.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-004.md
  └ 165 lines read

The earlier passes have all RQs broadly answerable, so I’m narrowing iteration 5 to the remaining implementation-design gap: where the five legal-stop gate booleans should be computed and whether any existing reducer/helper already has enough state to own them.

● Search (grep)
  │ "session_ended|session_end|gate_evaluation|legal_stop|blocked|converged|plat
  │ eau|max_iterations|operator_stop|score|recommendation|promotion"
  │ (.opencode/skills/sk-improve-agent/scripts/reduce-state.cjs)
  └ 40 lines found

● Search (grep)
  │ "legal_stop_evaluated|blocked_stop|gateResults|failedGates|contractGate|beha
  │ viorGate|integrationGate|evidenceGate|improvementGate|stop_status|stopReason
  │ |shouldStop" (.opencode/skills/sk-improve-agent/scripts/reduce-state.cjs,
  │ .opencode/skills/sk-improve-agent/scripts/improvement-journal.cjs,
  │ .opencode/commands/improve/assets/improve_improve-agent_auto.yaml,
  │ .opencode/commands/improve/assets/improve_improve-agent_confirm.yaml,
  │ .opencode/commands/improve/agent.md,
  │ .opencode/skills/sk-improve-agent/references/evaluator_contract.md)
  └ 46 lines found

● Search (grep)
  │ "LEGAL|legal stop|Legal Stop|Stop
  │ Conditions|Stop|gate|Gate|blocked_stop|legal_stop_evaluated"
  │ (.opencode/skills/sk-improve-agent/manual_testing_playbook)
  └ 6 lines found

● Read reduce-state.cjs
  │ .opencode/skills/sk-improve-agent/scripts/reduce-state.cjs
  └ L170:240 (70 lines read)

● Read reduce-state.cjs
  │ .opencode/skills/sk-improve-agent/scripts/reduce-state.cjs
  └ L860:905 (45 lines read)

● Read reduce-state.cjs
  │ .opencode/skills/sk-improve-agent/scripts/reduce-state.cjs
  └ L650:740 (91 lines read)

● Read improve_improve-agent_auto.yaml
  │ .opencode/commands/improve/assets/improve_improve-agent_auto.yaml
  └ L180:206 (25 lines read)

● Read agent.md
  │ .opencode/commands/improve/agent.md
  └ L400:455 (56 lines read)

● Read agent.md
  │ .opencode/commands/improve/agent.md
  └ L296:330 (35 lines read)

● Read improvement-journal.cjs
  │ .opencode/skills/sk-improve-agent/scripts/improvement-journal.cjs
  └ L49:110 (62 lines read)

● Read evaluator_contract.md
  │ .opencode/skills/sk-improve-agent/references/evaluator_contract.md
  └ L31:101 (71 lines read)

● Read score-candidate.cjs
  │ .opencode/skills/sk-improve-agent/scripts/score-candidate.cjs
  └ L86:160 (75 lines read)

● Read reduce-state.cjs
  │ .opencode/skills/sk-improve-agent/scripts/reduce-state.cjs
  └ L480:640 (161 lines read)

● Read score-candidate.cjs
  │ .opencode/skills/sk-improve-agent/scripts/score-candidate.cjs
  └ L347:361 (15 lines read)

● Read 028-legal-stop-gates.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/07--runtime-truth/0
  │ 28-legal-stop-gates.md
  └ L20:45 (26 lines read)

● Read reduce-state.cjs
  └ .opencode/skills/sk-improve-agent/scripts/reduce-state.cjs

✗ Read improvement-state-template.json
  │ .opencode/skills/sk-improve-agent/assets/improvement-state-template.json
  └ Path does not exist

● Read benchmark-stability.cjs
  │ .opencode/skills/sk-improve-agent/scripts/benchmark-stability.cjs
  └ L1:220 (219 lines read)

● Read trade-off-detector.cjs
  │ .opencode/skills/sk-improve-agent/scripts/trade-off-detector.cjs
  └ L1:220 (220 lines read)

● Search (grep)
  │ "delta|threshold|minimum|improvement|repeatability|benchmark-pass|benchmark_
  │ completed|gateResults|contractGate|behaviorGate|evidenceGate|improvementGate
  │ " (.opencode/skills/sk-improve-agent/scripts,
  │ .opencode/skills/sk-improve-agent/references,
  │ .opencode/skills/sk-improve-agent/assets, .opencode/commands/improve/assets)
  └ 8 lines found

● Read improvement_config.json
  │ .opencode/skills/sk-improve-agent/assets/improvement_config.json
  └ L1:220 (121 lines read)

● Read reduce-state.cjs
  │ .opencode/skills/sk-improve-agent/scripts/reduce-state.cjs
  └ L1:80 (80 lines read)

● Search (glob)
  │ ".opencode/skills/sk-improve-agent/assets/*"
  └ 5 files found

● Read reduce-state.cjs
  │ .opencode/skills/sk-improve-agent/scripts/reduce-state.cjs
  └ L1000:1077 (39 lines read)

● Read improvement_config_reference.md
  │ .opencode/skills/sk-improve-agent/assets/improvement_config_reference.md
  └ L1:130 (70 lines read)

● Search (grep)
  │ "agent-improvement-state|experiment-registry|journalSummary|evaluateStopStat
  │ us|mirrorDriftReport|writeUtf8|agent-improvement-config|benchmark-stability|
  │ repeatability" (.opencode/skills/sk-improve-agent/scripts/reduce-state.cjs)
  └ 16 lines found

I found the new seam: the reducer already has the right aggregate inputs to decide stop status, but it only computes convergence mechanics today, not the five legal-stop gate bundle. I’m writing iteration 5 with that ownership recommendation and a new CP scenario.

● Edit
  └ Create .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-tes
    t-report-alignment/research/iterations/iteration-005.md

Wrote iteration 5 to:

`.opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-report-alignment/research/iterations/iteration-005.md`

It focuses on the remaining legal-stop ownership gap and recommends reducer-adjacent gate computation after `reduce-state.cjs`, with a new CP-064 stress-test scenario.


Changes   +124 -0
Requests  7.5 Premium (1m 49s)
Tokens    ↑ 652.6k • ↓ 7.2k • 590.8k (cached) • 1.6k (reasoning)
[11:19:16] Iteration 5 copilot exit=0
[11:19:16] Building prompt for iteration 6 (v2 absolute paths)...
[11:19:16] Dispatching copilot for iteration 6 (model=gpt-5.5)...
I’ll run this as the requested single deep-research iteration: first load the prior iteration evidence, then do targeted reads for the weakest gap and write only the iteration-006 report.

● skill(sk-deep-research)

I have the deep-research constraints loaded. I’m reading the five prior iteration reports together now so this pass can target a real evidence gap instead of repeating earlier conclusions.

● Read iteration-001.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-001.md
  └ 147 lines read

● Read iteration-003.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-003.md
  └ 160 lines read

● Read iteration-002.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-002.md
  └ 184 lines read

● Read iteration-004.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-004.md
  └ 165 lines read

● Read iteration-005.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-005.md
  └ 123 lines read

The prior reports have all RQs broadly answerable; the remaining useful gap is the improvement-gate baseline/delta path from iteration 5. I’m tracing only the reducer/scorer/lineage/config surfaces needed to see whether that gate can be computed deterministically.

● Read candidate-lineage.cjs
  │ .opencode/skills/sk-improve-agent/scripts/candidate-lineage.cjs
  └ 180 lines read

● Read reduce-state.cjs
  │ .opencode/skills/sk-improve-agent/scripts/reduce-state.cjs
  └ L450:760 (311 lines read)

● Read improvement_config.json
  │ .opencode/skills/sk-improve-agent/assets/improvement_config.json
  └ 121 lines read

● Read evaluator_contract.md
  │ .opencode/skills/sk-improve-agent/references/evaluator_contract.md
  └ L1:130 (130 lines read)

● Search (grep)
  │ "thresholdDelta|weightedDelta|baseline|delta|improvementGate|bestPromptRecor
  │ d|candidateId|candidate_id" (.opencode/skills/sk-improve-agent/scripts,
  │ .opencode/skills/sk-improve-agent/references,
  │ .opencode/skills/sk-improve-agent/assets, .opencode/commands/improve)
  └ 8 lines found

The delta path is narrower than expected: config requires a baseline and threshold, but the reducer tracks “best” records rather than explicit baseline-vs-current semantics. I’m checking the YAML initialization and scoring outputs to confirm whether baseline recording is real or only operator prose.

● Read trade-off-detector.cjs
  │ .opencode/skills/sk-improve-agent/scripts/trade-off-detector.cjs
  └ 331 lines read

● Read improve_improve-agent_auto.yaml
  │ .opencode/commands/improve/assets/improve_improve-agent_auto.yaml
  └ L110:210 (95 lines read)

● Read improve_improve-agent_confirm.yaml
  │ .opencode/commands/improve/assets/improve_improve-agent_confirm.yaml
  └ L110:240 (131 lines read)

● Read score-candidate.cjs
  │ .opencode/skills/sk-improve-agent/scripts/score-candidate.cjs
  └ L300:380 (71 lines read)

● Search (grep)
  │ "baselineRequired|Record baseline|recording
  │ baseline|baseline|thresholdDelta|candidate-better|keep-baseline|tie"
  │ (.opencode/commands/improve/assets, .opencode/commands/improve/agent.md,
  │ .opencode/skills/sk-improve-agent/scripts,
  │ .opencode/skills/sk-improve-agent/references)
  └ 55 lines found

● Read promote-candidate.cjs
  │ .opencode/skills/sk-improve-agent/scripts/promote-candidate.cjs
  └ L70:180 (111 lines read)

● Read target_onboarding.md
  │ .opencode/skills/sk-improve-agent/references/target_onboarding.md
  └ L45:80 (34 lines read)

● Read score-candidate.cjs
  │ .opencode/skills/sk-improve-agent/scripts/score-candidate.cjs
  └ L1:90 (90 lines read)

● Read promotion_rules.md
  │ .opencode/skills/sk-improve-agent/references/promotion_rules.md
  └ 88 lines read

● Search (grep)
  │ "baseline|candidate-better|thresholdDelta|score\.score|threshold"
  │ (.opencode/skills/sk-improve-agent/scripts/score-candidate.cjs,
  │ .opencode/skills/sk-improve-agent/scripts/promote-candidate.cjs,
  │ .opencode/skills/sk-improve-agent/references/promotion_rules.md,
  │ .opencode/skills/sk-improve-agent/references/loop_protocol.md,
  │ .opencode/skills/sk-improve-agent/references/target_onboarding.md)
  └ 12 lines found

● Read score-candidate.cjs
  │ .opencode/skills/sk-improve-agent/scripts/score-candidate.cjs
  └ L260:300 (41 lines read)

● Read agent-improvement-state.jsonl
  │ .opencode/skills/sk-improve-agent/scripts/tests/fixtures/low-sample-benchmark
  │ /agent-improvement-state.jsonl
  └ 3 lines read

● Read promote-candidate.cjs
  │ .opencode/skills/sk-improve-agent/scripts/promote-candidate.cjs
  └ L180:205 (9 lines read)

● Read improvement-journal.jsonl
  │ .opencode/skills/sk-improve-agent/scripts/tests/fixtures/low-sample-benchmark
  │ /improvement-journal.jsonl
  └ 8 lines read

● Read loop_protocol.md
  │ .opencode/skills/sk-improve-agent/references/loop_protocol.md
  └ L31:85 (54 lines read)

● Read improvement-journal.cjs
  │ .opencode/skills/sk-improve-agent/scripts/improvement-journal.cjs
  └ L30:110 (81 lines read)

● Read agent.md
  │ .opencode/commands/improve/agent.md
  └ L300:320 (21 lines read)

● Read improvement-journal.cjs
  │ .opencode/skills/sk-improve-agent/scripts/improvement-journal.cjs
  └ L1:29 (29 lines read)

I found a new cross-cutting issue: the legal-stop `improvementGate` depends on score delta, but the shipped path doesn’t produce a reliable delta source. I’m writing iteration 6 now with that as the focused contribution.

● Edit
  └ Create .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-tes
    t-report-alignment/research/iterations/iteration-006.md

Done — wrote iteration 6 to:

`.opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-report-alignment/research/iterations/iteration-006.md`

The new focus is the baseline/delta evidence gap for `improvementGate`, with CP-065 proposed as the next grep-checkable stress scenario.


Changes   +178 -0
Requests  7.5 Premium (1m 49s)
Tokens    ↑ 814.8k • ↓ 7.5k • 743.9k (cached) • 1.6k (reasoning)
[11:21:06] Iteration 6 copilot exit=0
[11:21:06] Building prompt for iteration 7 (v2 absolute paths)...
[11:21:06] Dispatching copilot for iteration 7 (model=gpt-5.5)...
I’ll run this as a single focused research iteration: first load the prior iteration findings and routing context, then inspect only the targeted gaps before writing the requested iteration file.

● skill(sk-deep-research)

I’ve got the deep-research contract loaded and will keep this to one LEAF-style iteration: prior findings first, then a small targeted read set and a single write to iteration-007.

● Read iteration-004.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-004.md
  └ 165 lines read

● Read iteration-006.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-006.md
  └ 177 lines read

● Read iteration-005.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-005.md
  └ 123 lines read

● Read iteration-001.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-001.md
  └ 147 lines read

● Read iteration-002.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-002.md
  └ 184 lines read

● Read iteration-003.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-003.md
  └ 160 lines read

The prior six iterations already cover all RQs broadly; the remaining high-leverage gap is whether the baseline/delta mismatch from iteration 6 is protected by tests or silently untested. I’m narrowing to scorer/promotion test coverage and related fixtures now.

● Read improvement-journal.jsonl
  │ .opencode/skills/sk-improve-agent/scripts/tests/fixtures/low-sample-benchmark
  │ /improvement-journal.jsonl
  └ 8 lines read

● Read agent-improvement-state.jsonl
  │ .opencode/skills/sk-improve-agent/scripts/tests/fixtures/low-sample-benchmark
  │ /agent-improvement-state.jsonl
  └ 3 lines read

● Search (glob)
  │ "**/*{score,promote,candidate,benchmark}*.vitest.ts" in
  │ .opencode/skills/sk-improve-agent/scripts/tests
  └ 2 files found

● Search (grep)
  │ "score-candidate|promote-candidate|candidate-better|delta|baseline|threshold
  │ Delta|keep-baseline" (.opencode/skills/sk-improve-agent/scripts/tests)
  └ 8 lines found

● Read mutation-coverage.vitest.ts
  │ .opencode/skills/sk-improve-agent/scripts/tests/mutation-coverage.vitest.ts
  └ L1:90 (89 lines read)

● Read promote-candidate.cjs
  │ .opencode/skills/sk-improve-agent/scripts/promote-candidate.cjs
  └ L130:190 (59 lines read)

● Read score-candidate.cjs
  │ .opencode/skills/sk-improve-agent/scripts/score-candidate.cjs
  └ L250:370 (121 lines read)

● Search (grep)
  │ "low-sample-benchmark|insufficientSample|keptBaseline|converged|candidate-ac
  │ ceptable|candidate-better|promote"
  │ (.opencode/skills/sk-improve-agent/scripts/tests)
  └ 25 lines found

● Read benchmark-stability.vitest.ts
  │ .opencode/skills/sk-improve-agent/scripts/tests/benchmark-stability.vitest.ts
  └ L198:212 (14 lines read)

● Read README.md
  │ .opencode/skills/sk-improve-agent/scripts/tests/fixtures/low-sample-benchmark
  │ /README.md
  └ 14 lines read

● Read benchmark-stability.vitest.ts
  │ .opencode/skills/sk-improve-agent/scripts/tests/benchmark-stability.vitest.ts
  └ L80:115 (36 lines read)

● Read improvement-journal.vitest.ts
  │ .opencode/skills/sk-improve-agent/scripts/tests/improvement-journal.vitest.ts
  └ L35:118 (84 lines read)

● Read improvement-journal.vitest.ts
  │ .opencode/skills/sk-improve-agent/scripts/tests/improvement-journal.vitest.ts
  └ L198:218 (20 lines read)

● Read improvement-journal.vitest.ts
  │ .opencode/skills/sk-improve-agent/scripts/tests/improvement-journal.vitest.ts
  └ L112:150 (39 lines read)

● Read trade-off-detector.vitest.ts
  │ .opencode/skills/sk-improve-agent/scripts/tests/trade-off-detector.vitest.ts
  └ L232:256 (24 lines read)

● Read trade-off-detector.cjs
  │ .opencode/skills/sk-improve-agent/scripts/trade-off-detector.cjs
  └ L1:90 (89 lines read)

● Read improvement-journal.cjs
  │ .opencode/skills/sk-improve-agent/scripts/improvement-journal.cjs
  └ L1:115 (115 lines read)

● Search (glob)
  │ "**/*.vitest.ts" in .opencode/skills/sk-improve-agent/scripts/tests
  └ 5 files found

● Search (grep)
  │ "baselineScore|candidate-better|delta|thresholdDelta|promote-candidate|score
  │ -candidate" (.opencode/skills/sk-improve-agent/scripts/tests)
  └ 2 lines found

● Search (grep)
  │ "low-sample|insufficientDataIterations|insufficientSampleIterations|imp-low-
  │ sample-fixture|benchmarkPlateau"
  │ (.opencode/skills/sk-improve-agent/scripts/tests)
  └ 13 lines found

● Read improvement-journal.vitest.ts
  │ .opencode/skills/sk-improve-agent/scripts/tests/improvement-journal.vitest.ts
  └ L219:232 (14 lines read)

● Read mutation-coverage.json
  │ .opencode/skills/sk-improve-agent/scripts/tests/fixtures/low-sample-benchmark
  │ /mutation-coverage.json
  └ L1:35 (21 lines read)

● Read improvement_config.json
  │ .opencode/skills/sk-improve-agent/scripts/tests/fixtures/low-sample-benchmark
  │ /improvement_config.json
  └ 7 lines read

● Read benchmark-results.json
  │ .opencode/skills/sk-improve-agent/scripts/tests/fixtures/low-sample-benchmark
  │ /benchmark-results.json
  └ L1:60 (16 lines read)

I found one narrower seam that prior iterations had not fully captured: the existing tests already know low-sample evidence is insufficient, but the checked-in fixture still records a successful-looking `converged` session, and there are no dedicated scorer/promotion tests for the `candidate-better`/`delta` contract. I’m writing that as the iteration-007 contribution now.

● Get ISO timestamp (shell)
  │ date -Iseconds
  └ 2 lines...

● Edit
  └ Create .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-tes
    t-report-alignment/research/iterations/iteration-007.md

Wrote iteration 7 findings to:

`.opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-report-alignment/research/iterations/iteration-007.md`

The new contribution focuses on the untested scorer/promoter `candidate-better` + `delta` contract and the low-sample fixture currently ending as `converged` despite insufficient evidence.


Changes   +128 -0
Requests  7.5 Premium (2m 7s)
Tokens    ↑ 759.9k • ↓ 7.9k • 695.8k (cached) • 2.0k (reasoning)
[11:23:14] Iteration 7 copilot exit=0
[11:23:15] Building prompt for iteration 8 (v2 absolute paths)...
[11:23:15] Dispatching copilot for iteration 8 (model=gpt-5.5)...
I’ll treat this as one bounded deep-research iteration: first I’ll load the prior iteration notes, then target the weakest remaining evidence and write only the requested iteration file.

● skill(sk-deep-research)

I’m loading the seven prior notes now so this iteration can focus on an actual evidence gap instead of repeating settled answers.

● Read iteration-001.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-001.md
  └ 147 lines read

● Read iteration-003.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-003.md
  └ 160 lines read

● Read iteration-004.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-004.md
  └ 165 lines read

● Read iteration-005.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-005.md
  └ 123 lines read

● Read iteration-006.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-006.md
  └ 177 lines read

● Read iteration-007.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-007.md
  └ 127 lines read

● Read iteration-002.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-002.md
  └ 184 lines read

The main unanswered seam is now documentation/fixture drift around promotion language: earlier passes found executable `candidate-better`/`delta` requirements, but not whether the human-facing references still tell operators `candidate-acceptable` is enough.

● Read promotion_rules.md
  │ .opencode/skills/sk-improve-agent/references/promotion_rules.md
  └ 88 lines read

● Read 020-full-pipeline.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/06--end-to-end-loop
  │ /020-full-pipeline.md
  └ 84 lines read

● Read evaluator_contract.md
  │ .opencode/skills/sk-improve-agent/references/evaluator_contract.md
  └ L55:115 (60 lines read)

● Search (grep)
  │ "candidate-acceptable|candidate-better|thresholdDelta|keep-baseline|baseline
  │ Score|delta" (.opencode/skills/sk-improve-agent/references,
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook,
  │ .opencode/skills/sk-improve-agent/scripts/tests,
  │ .opencode/commands/improve/agent.md,
  │ .opencode/skills/sk-improve-agent/SKILL.md, .opencode/agents/improve-agent.md)
  └ 8 lines found

I found the likely new value: promotion guidance and E2E playbook checks appear to stop at “artifact exists / candidate acceptable,” while the executable promotion path requires `candidate-better` plus `delta`. I’m pulling the narrow script and playbook lines to make that drift concrete.

● Read score-candidate.cjs
  │ .opencode/skills/sk-improve-agent/scripts/score-candidate.cjs
  └ L250:365 (116 lines read)

● Read promote-candidate.cjs
  │ .opencode/skills/sk-improve-agent/scripts/promote-candidate.cjs
  └ L145:190 (44 lines read)

● Read manual_testing_playbook.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/manual_testing_play
  │ book.md
  └ L110:135 (26 lines read)

● Search (grep)
  │ "candidate-acceptable|candidate-better|thresholdDelta|delta|baseline|promoti
  │ on" (.opencode/skills/sk-improve-agent/manual_testing_playbook)
  └ 5 lines found

● Search (glob)
  │ ".opencode/skills/sk-improve-agent/scripts/tests/*{score,promote}*.vitest.ts"
  └ No matches found

● Read agent.md
  │ .opencode/commands/improve/agent.md
  └ L300:318 (19 lines read)

● Read 028-legal-stop-gates.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/07--runtime-truth/0
  │ 28-legal-stop-gates.md
  └ L18:47 (30 lines read)

● Search (grep)
  │ "thresholdDelta|delta" (.opencode/skills/sk-improve-agent/references,
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook,
  │ .opencode/commands/improve/agent.md,
  │ .opencode/skills/sk-improve-agent/SKILL.md)
  └ 23 lines found

● Search (grep)
  │ "candidate-better" (.opencode/skills/sk-improve-agent/references,
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook,
  │ .opencode/skills/sk-improve-agent/scripts/tests,
  │ .opencode/commands/improve/agent.md,
  │ .opencode/skills/sk-improve-agent/SKILL.md, .opencode/agents/improve-agent.md)
  └ 3 lines found

● Search (grep)
  │ "candidate-acceptable" (.opencode/skills/sk-improve-agent/references,
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook,
  │ .opencode/skills/sk-improve-agent/scripts/tests,
  │ .opencode/commands/improve/agent.md,
  │ .opencode/skills/sk-improve-agent/SKILL.md, .opencode/agents/improve-agent.md)
  └ 2 lines found

● Read loop_protocol.md
  │ .opencode/skills/sk-improve-agent/references/loop_protocol.md
  └ L28:72 (44 lines read)

● Read 017-no-dimensions.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/05--reducer-dimensi
  │ ons/017-no-dimensions.md
  └ L40:47 (8 lines read)

● Read rollback_runbook.md
  │ .opencode/skills/sk-improve-agent/references/rollback_runbook.md
  └ L28:42 (14 lines read)

● Read 018-with-dimensions.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/05--reducer-dimensi
  │ ons/018-with-dimensions.md
  └ L40:47 (8 lines read)

● Read improvement_config.json
  │ .opencode/skills/sk-improve-agent/assets/improvement_config.json
  └ L1:60 (60 lines read)

I have enough evidence for a non-duplicative iteration: this pass will frame the new gap as “promotion semantics drift,” especially where docs/playbooks/fixtures accept shapes that the promotion script can never promote.

● Search (glob)
  │ ".opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repo
  │ rt-alignment/research/iterations/iteration-008.md"
  └ No matches found

● Edit
  └ Create .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-tes
    t-report-alignment/research/iterations/iteration-008.md

Iteration 8 is written; I’m doing a quick file check only to confirm the requested artifact exists at the exact path.

● Read iteration-008.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-008.md
  └ L1:24 (24 lines read)

Wrote **Iteration 8** to:

`.opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-report-alignment/research/iterations/iteration-008.md`

It adds new evidence on promotion-semantics drift: `candidate-acceptable` is documented in places as promotion-adjacent, while the executable promotion path requires `candidate-better` plus `delta`.


Changes   +164 -0
Requests  7.5 Premium (1m 50s)
Tokens    ↑ 729.2k • ↓ 7.2k • 660.5k (cached) • 1.3k (reasoning)
[11:25:06] Iteration 8 copilot exit=0
[11:25:06] Building prompt for iteration 9 (v2 absolute paths)...
[11:25:06] Dispatching copilot for iteration 9 (model=gpt-5.5)...
I’ll run this as the requested single deep-research iteration: first load the existing iteration notes, then target only the weakest remaining gap and write the iteration 009 markdown at the exact path.

● skill(sk-deep-research)

I’m going to read the loop state plus the eight prior iteration notes in one batch, then I’ll choose a narrow gap rather than re-covering settled questions.

● Read deep-research-state.jsonl
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/deep-research-state.jsonl
  └ 12 lines read

● Read deep-research-strategy.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/deep-research-strategy.md
  └ 104 lines read

● Read iteration-001.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-001.md
  └ 147 lines read

● Read iteration-003.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-003.md
  └ 160 lines read

● Read iteration-004.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-004.md
  └ 165 lines read

● Read iteration-002.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-002.md
  └ 184 lines read

● Read iteration-005.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-005.md
  └ 123 lines read

● Read iteration-006.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-006.md
  └ 177 lines read

● Read iteration-008.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-008.md
  └ 163 lines read

● Read iteration-007.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-007.md
  └ 127 lines read

The prior notes have all RQs broadly answered; the freshest gap is the runtime mirror seam: `.gemini` versus `.agents`, and whether references/tests/playbooks make that drift detectable.

● Search (grep)
  │ "scan-integration|check-mirror-drift|\.gemini|\.agents|mirror"
  │ (.opencode/skills/sk-improve-agent/scripts/tests)
  └ No matches found

● Search (grep)
  │ "\.gemini|\.agents|MIRROR_TEMPLATES|runtime parity|mirror drift|mirror"
  │ (.opencode/skills/sk-improve-agent, .opencode/commands/improve/agent.md,
  │ .opencode/agents/improve-agent.md)
  └ 8 lines found

● Search (grep)
  │ "\.gemini|\.agents|mirror|runtime"
  │ (.opencode/skills/sk-improve-agent/manual_testing_playbook)
  └ 7 lines found

● Search (glob)
  │ ".{opencode,claude,codex,gemini}/agents/*"
  └ 36 files found

I found the repository really does have `.gemini/agents/*` mirrors, while the broad search output points at command/scanner language still mentioning `.agents`; I’m narrowing to the scanner constants, mirror policy, and scanner tests now.

● Read check-mirror-drift.cjs
  │ .opencode/skills/sk-improve-agent/scripts/check-mirror-drift.cjs
  └ L1:160 (147 lines read)

● Read scan-integration.cjs
  │ .opencode/skills/sk-improve-agent/scripts/scan-integration.cjs
  └ L1:90 (90 lines read)

● Read mirror_drift_policy.md
  │ .opencode/skills/sk-improve-agent/references/mirror_drift_policy.md
  └ L1:110 (75 lines read)

● Read agent.md
  │ .opencode/commands/improve/agent.md
  └ L390:410 (21 lines read)

● Search (glob)
  │ "**/*mirror*.md" in .opencode/skills/sk-improve-agent/manual_testing_playbook
  └ No matches found

● Search (glob)
  │ "**/*scan*integration*.vitest.ts" in
  │ .opencode/skills/sk-improve-agent/scripts/tests
  └ No matches found

The scanner constants confirm the drift: scan-integration hard-codes `.agents/agents`, while the policy says `.gemini/agents`; no obvious mirror-specific playbook filenames or scan-integration test file showed up. I’m checking the scanner output path and test inventory to make the recommendation precise.

● Read scan-integration.cjs
  │ .opencode/skills/sk-improve-agent/scripts/scan-integration.cjs
  └ L87:230 (144 lines read)

● Search (glob)
  │ "*.vitest.ts" in .opencode/skills/sk-improve-agent/scripts/tests
  └ 5 files found

● Search (grep)
  │ "\.agents/agents|\.gemini/agents|runtime parity|Runtime mirrors|mirror
  │ drift|scanner checks" (.opencode/skills/sk-improve-agent/references,
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook,
  │ .opencode/skills/sk-improve-agent/SKILL.md)
  └ 17 lines found

● Search (grep)
  │ "scan-integration|MIRROR_TEMPLATES|\.agents/agents|\.gemini/agents|check-mir
  │ ror-drift|mirror" (.opencode/skills/sk-improve-agent/scripts/tests)
  └ No matches found

There’s a stronger contradiction now: the integration reference still documents `.agents/agents`, but the manual scenario’s troubleshooting/resource map mentions `.gemini/agents`. I’ll capture those exact lines and then write the iteration note.

● Read integration_scanning.md
  │ .opencode/skills/sk-improve-agent/references/integration_scanning.md
  └ L1:95 (95 lines read)

● Read no_go_conditions.md
  │ .opencode/skills/sk-improve-agent/references/no_go_conditions.md
  └ L25:45 (20 lines read)

● Read evaluator_contract.md
  │ .opencode/skills/sk-improve-agent/references/evaluator_contract.md
  └ L90:105 (16 lines read)

● Read 001-scan-known-agent.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/01--integration-sca
  │ nner/001-scan-known-agent.md
  └ L35:85 (51 lines read)

● Read improve-agent.md
  │ .gemini/agents/improve-agent.md
  └ L1:20 (20 lines read)

● Read improve-agent.md
  │ .claude/agents/improve-agent.md
  └ L1:20 (20 lines read)

● Read improve-agent.toml
  │ .codex/agents/improve-agent.toml
  └ L1:20 (19 lines read)

● Check scanner mirror output (shell)
  │ node .opencode/skills/sk-improve-agent/scripts/scan-integration.cjs
  │ --agent=improve-agent | node -e 'const fs=require("fs"); const
  │ d=JSON.parse(fs.readFileSync(0,"utf8"));
  │ console.log(JSON.stringify(d.surfaces.mirrors,null,2));' && date -Iseconds
  └ 19 lines...

I have enough new evidence for iteration 9: the mirror mismatch is no longer just a policy note; it affects the scanner’s actual output and a weighted evaluator dimension. I’m writing the iteration file now.

● Edit
  └ Create .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-tes
    t-report-alignment/research/iterations/iteration-009.md

Wrote iteration 9 to:

`.opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-report-alignment/research/iterations/iteration-009.md`

It focuses on the remaining mirror-runtime gap (`.gemini` vs `.agents`) and adds CP-068 plus concrete scanner/playbook/doc diff sketches.


Changes   +152 -0
Requests  7.5 Premium (1m 55s)
Tokens    ↑ 661.3k • ↓ 7.9k • 590.8k (cached) • 1.9k (reasoning)
[11:27:02] Iteration 9 copilot exit=0
[11:27:02] Building prompt for iteration 10 (v2 absolute paths)...
[11:27:02] Dispatching copilot for iteration 10 (model=gpt-5.5)...
I’ll run this as a single deep-research iteration: first load the prior iteration evidence and skill routing, then target only the weakest remaining gap before writing the required iteration file.

● skill(sk-deep-research)

I’ll first read the nine prior iteration files together, then choose a narrow gap to avoid duplicating already-settled findings.

● Read iteration-001.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-001.md
  └ 147 lines read

● Read iteration-002.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-002.md
  └ 184 lines read

● Read iteration-005.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-005.md
  └ 123 lines read

● Read iteration-008.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-008.md
  └ 163 lines read

● Read iteration-007.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-007.md
  └ 127 lines read

● Read iteration-006.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-006.md
  └ 177 lines read

● Read iteration-009.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-009.md
  └ 151 lines read

● Read iteration-003.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-003.md
  └ 160 lines read

● Read iteration-004.md
  │ .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-repor
  │ t-alignment/research/iterations/iteration-004.md
  └ 165 lines read

The prior iterations already answer every RQ, so I’m using the last pass to add a cross-cutting implementation-order insight: which prose/action placeholders block a grep-checkable disciplined Call B.

● Read SKILL.md
  │ .opencode/skills/sk-improve-agent/SKILL.md
  └ L260:281 (21 lines read)

● Read agent.md
  │ .opencode/commands/improve/agent.md
  └ L286:318 (33 lines read)

● Read agent.md
  │ .opencode/commands/improve/agent.md
  └ L386:408 (23 lines read)

● Read improve_improve-agent_auto.yaml
  │ .opencode/commands/improve/assets/improve_improve-agent_auto.yaml
  └ L120:205 (85 lines read)

● Read improve-agent.md
  │ .opencode/agents/improve-agent.md
  └ L145:174 (29 lines read)

● Read improvement_config.json
  │ .opencode/skills/sk-improve-agent/assets/improvement_config.json
  └ L1:60 (60 lines read)

● Search (grep)
  │ "action:|command:|legal_stop_evaluated|blocked_stop|benchmark_completed|cand
  │ idate-better|candidate-acceptable|\.agents/agents|\.gemini/agents"
  │ (.opencode/commands/improve/assets/improve_improve-agent_auto.yaml,
  │ .opencode/skills/sk-improve-agent/references,
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook,
  │ .opencode/skills/sk-improve-agent/scripts)
  └ 7 lines found

I’ve narrowed the final contribution to a blocker dependency chain rather than another per-RQ re-answer: mirror inventory affects integration score, baseline/delta affects improvementGate, and legal-stop emission depends on both.

● Read scan-integration.cjs
  │ .opencode/skills/sk-improve-agent/scripts/scan-integration.cjs
  └ L1:25 (25 lines read)

● Read score-candidate.cjs
  │ .opencode/skills/sk-improve-agent/scripts/score-candidate.cjs
  └ L130:165 (36 lines read)

● Read promote-candidate.cjs
  │ .opencode/skills/sk-improve-agent/scripts/promote-candidate.cjs
  └ L150:185 (36 lines read)

● Read score-candidate.cjs
  │ .opencode/skills/sk-improve-agent/scripts/score-candidate.cjs
  └ L255:365 (111 lines read)

● Read evaluator_contract.md
  │ .opencode/skills/sk-improve-agent/references/evaluator_contract.md
  └ L89:101 (13 lines read)

● Read 028-legal-stop-gates.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/07--runtime-truth/0
  │ 28-legal-stop-gates.md
  └ L20:46 (26 lines read)

● Read 020-full-pipeline.md
  │ .opencode/skills/sk-improve-agent/manual_testing_playbook/06--end-to-end-loop
  │ /020-full-pipeline.md
  └ L20:46 (26 lines read)

I have enough line-level evidence; I’m getting the exact timestamp, then I’ll write only the required iteration file.

● Get current ISO timestamp (shell)
  │ date -Iseconds
  └ 2 lines...

● Edit
  └ Create .opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-tes
    t-report-alignment/research/iterations/iteration-010.md

Wrote iteration 10 to:

`.opencode/specs/skilled-agent-orchestration/060-sk-agent-improver-test-report-alignment/research/iterations/iteration-010.md`

It adds a final cross-cutting implementation-order finding and CP-069 stress-test scenario tying mirror truth, baseline/delta evidence, benchmark/journal boundaries, and legal-stop gating into one grep-checkable Call B chain.


Changes   +218 -0
Requests  7.5 Premium (1m 46s)
Tokens    ↑ 500.1k • ↓ 8.5k • 430.1k (cached) • 1.7k (reasoning)
[11:28:50] Iteration 10 copilot exit=0
[11:28:50] Loop v2 complete. 10 total iterations on disk.
