# SkillOS Autonomous RSI Capital-to-Capability Engine Proof

**Status:** `PASSED_AUTONOMOUS_RSI_CAPITAL_TO_CAPABILITY_ENGINE_PROOF`

## Workflow

Large-scale agentic coordination for capital-to-capability compounding, market capture, resource allocation, risk control, and validated reinvestment.

## Why this matters

This proof safely operationalizes the value thesis behind the quote: “A superintelligent machine would be of such immense value, with so much wealth accruing to any company that owned one, that it could allow us to reach Kardashev Type II civilization level.”

The GitHub Action does **not** claim Kardashev Type II achievement. It tests the business mechanism underneath that idea: whether a large autonomous specialist-agent organization can coordinate capital, compute, energy, data, trust, distribution, talent, and validation into compounding productive capability.

## Large-scale multi-agent coordination

The proof coordinates 256 deterministic specialist agents across 32 business roles and compares single-agent, uncoordinated pool, static coordination, and SkillOS RSI coordination.

## Recursive Self-Improvement

training failures → coordination lessons → candidate capital-to-capability protocols → validation → released protocol versions → adversarial holdout proof

## Holdout results

| Metric | Single agent | Uncoordinated pool | Static coordination | SkillOS RSI coordination |
|---|---:|---:|---:|---:|
| Fully correct decisions | 0.0% | 0.0% | 33.3% | 100.0% |
| Adversarial fully correct | 0.0% | 0.0% | 33.3% | 100.0% |
| Coordination accuracy | 0.0% | 0.0% | 33.3% | 100.0% |
| Risk-control accuracy | 12.5% | 29.2% | 33.3% | 100.0% |
| Value capture rate | 3.3% | 9.4% | 35.4% | 90.5% |
| Compounding index | 6.9 | 13.9 | 34 | 97 |
| Productive capacity index | 5.3 | 12.7 | 33.3 | 96 |
| Risk breach rate | 66.7% | 50.0% | 45.8% | 0.0% |

## Improvements

- Fully correct gain vs single agent: +100.0 pts
- Fully correct gain vs uncoordinated pool: +100.0 pts
- Fully correct gain vs static coordination: +66.7 pts
- Adversarial holdout fully correct: 100.0%
- Risk breach rate: 0.0%
- Productive capacity index gain vs single agent: +90.7 pts
- Compounding index gain vs single agent: +90.1 pts
- Decision-cycle reduction vs single agent: 99.5%
- Benchmark-implied value captured over single-agent baseline: $94,755,510,849.57
- Agent messages coordinated on holdout: 599,040

## RSI release history

- Gen 0: `baseline` — fully correct 0.0%, adversarial 0.0%, compounding 2, productive capacity 1.7 — released
- Gen 1: `skillos-capital-to-capability-rsi-v1` — fully correct 8.3%, adversarial 16.7%, compounding 10.1, productive capacity 9.7 — released
- Gen 2: `skillos-capital-to-capability-rsi-v2` — fully correct 16.7%, adversarial 33.3%, compounding 17.8, productive capacity 17.3 — released
- Gen 3: `skillos-capital-to-capability-rsi-v3` — fully correct 25.0%, adversarial 50.0%, compounding 25.9, productive capacity 25.3 — released
- Gen 4: `skillos-capital-to-capability-rsi-v4` — fully correct 33.3%, adversarial 66.7%, compounding 34, productive capacity 33.3 — released
- Gen 5: `skillos-capital-to-capability-rsi-v5` — fully correct 41.7%, adversarial 83.3%, compounding 42.1, productive capacity 41.3 — released
- Gen 6: `skillos-capital-to-capability-rsi-v6` — fully correct 50.0%, adversarial 100.0%, compounding 49.8, productive capacity 49.3 — released
- Gen 7: `skillos-capital-to-capability-rsi-v7` — fully correct 58.3%, adversarial 100.0%, compounding 57.9, productive capacity 57.3 — released
- Gen 8: `skillos-capital-to-capability-rsi-v8` — fully correct 66.7%, adversarial 100.0%, compounding 66, productive capacity 65.3 — released
- Gen 9: `skillos-capital-to-capability-rsi-v9` — fully correct 75.0%, adversarial 100.0%, compounding 73.8, productive capacity 73 — released
- Gen 10: `skillos-capital-to-capability-rsi-v10` — fully correct 83.3%, adversarial 100.0%, compounding 81.5, productive capacity 80.7 — released
- Gen 11: `skillos-capital-to-capability-rsi-v11` — fully correct 91.7%, adversarial 100.0%, compounding 89.2, productive capacity 88.3 — released
- Gen 12: `skillos-capital-to-capability-rsi-v12` — fully correct 100.0%, adversarial 100.0%, compounding 97, productive capacity 96 — released

## Final learned capital-to-capability protocols

- **protocol_data_moat_privacy_boundary** — Coordinate data moat, private registry, risk governance and related specialist agents to apply `privacy_preserving_data_moat_council` safely.
- **protocol_distribution_without_retention** — Coordinate distribution strategy, retention strategy, customer success and related specialist agents to apply `retention_before_distribution_council` safely.
- **protocol_high_revenue_low_margin_trap** — Coordinate margin architecture, capital allocation, operations automation and related specialist agents to apply `profit_quality_council` safely.
- **protocol_capex_option_value_under_uncertainty** — Coordinate capex planning, capital allocation, research option value and related specialist agents to apply `staged_capex_option_council` safely.
- **protocol_regulated_high_value_beachhead** — Coordinate regulatory boundary, risk governance, enterprise demand and related specialist agents to apply `regulated_beachhead_council` safely.
- **protocol_model_quality_regression_risk** — Coordinate model capability, quality evaluation, validation science and related specialist agents to apply `quality_regression_response_council` safely.
- **protocol_pricing_power_churn_risk** — Coordinate pricing strategy, retention strategy, customer success and related specialist agents to apply `segmented_value_pricing_council` safely.
- **protocol_demand_spike_capacity_mirage** — Coordinate compute capacity, quality evaluation, customer success and related specialist agents to apply `capacity_reality_council` safely.
- **protocol_security_trust_blocker** — Coordinate trust and security, proof and auditability, enterprise demand and related specialist agents to apply `security_trust_council` safely.
- **protocol_capital_allocation_correlation_risk** — Coordinate portfolio correlation, capital allocation, risk governance and related specialist agents to apply `portfolio_resilience_council` safely.
- **protocol_clean_capability_compounding_lane** — Coordinate coordination chair, validation science, risk governance and related specialist agents to apply `clean_compounding_monitoring_council` safely.
- **protocol_do_not_scale_negative_option** — Coordinate capital allocation, risk governance, portfolio correlation and related specialist agents to apply `negative_option_kill_switch_council` safely.
- **protocol_compute_demand_energy_bottleneck** — Coordinate compute capacity, energy infrastructure, capex planning and related specialist agents to apply `compute_energy_capex_council` safely.
- **protocol_enterprise_supermargin_trust_gap** — Coordinate enterprise demand, trust and security, proof and auditability and related specialist agents to apply `enterprise_trust_premium_council` safely.
- **protocol_research_breakthrough_no_productization** — Coordinate research option value, product packaging, validation science and related specialist agents to apply `research_productization_council` safely.
- **protocol_service_to_software_productization** — Coordinate operations automation, product packaging, margin architecture and related specialist agents to apply `service_to_skill_package_council` safely.
- **protocol_partner_distribution_arbitrage** — Coordinate ecosystem partnerships, distribution strategy, capital allocation and related specialist agents to apply `partner_arbitrage_council` safely.
- **protocol_supply_constrained_marketplace_lane** — Coordinate supply creation, market intelligence, validation science and related specialist agents to apply `supply_liquidity_council` safely.
- **protocol_proof_gap_blocks_enterprise_sales** — Coordinate proof and auditability, enterprise demand, sales conversion and related specialist agents to apply `proof_to_revenue_council` safely.
- **protocol_energy_cost_arbitrage_compute_route** — Coordinate energy infrastructure, compute capacity, margin architecture and related specialist agents to apply `energy_aware_compute_routing_council` safely.
- **protocol_talent_bottleneck_release_speed** — Coordinate talent allocation, operations automation, validation science and related specialist agents to apply `expert_leverage_council` safely.
- **protocol_workflow_bundle_network_effect** — Coordinate network effects, product packaging, data moat and related specialist agents to apply `multi_skill_bundle_network_council` safely.
- **protocol_customer_specific_private_registry_moat** — Coordinate private registry, data moat, customer success and related specialist agents to apply `private_registry_moat_council` safely.
- **protocol_validator_bottleneck_release_drag** — Coordinate validation science, quality evaluation, operations automation and related specialist agents to apply `validation_capacity_council` safely.

## Proof receipts

- Commit SHA: `eaea5ac1655ce020467af5b6081e63156648e55d`
- GitHub Actions run: `https://github.com/MontrealAI/skillos/actions/runs/27358229845`
- Benchmark seed: `20260530`
- Source SHA-256: `8ded046916510bc50f429d7568318ae182780f1d4ad2d46ee102838fcdb0d8e9`
- Generated at UTC: `2026-06-11T15:31:43Z`

## Pre-registered proof gates

- ✅ business domain capital to capability compounding workflow
- ✅ kardashev quote operationalized without claiming type ii achievement
- ✅ large agent collective at least 200 agents
- ✅ specialist roles at least 24
- ✅ compares single uncoordinated static and rsi systems
- ✅ adversarial market trap classes at least 12
- ✅ not email workflow
- ✅ not invoice workflow
- ✅ not cloudops workflow
- ✅ not cyberdefense workflow
- ✅ not silicon workflow
- ✅ not metamaterials workflow
- ✅ not generic corporate os workflow
- ✅ not unit economics profit engine workflow
- ✅ not marketplace flywheel workflow
- ✅ not revenue experiment factory workflow
- ✅ not multi agent market command workflow
- ✅ no human review required
- ✅ no customers contacted
- ✅ no private data used
- ✅ no api keys required
- ✅ deterministic reproducible benchmark
- ✅ proof receipts generated
- ✅ recursive self improvement releases at least 12
- ✅ rsi validation improves monotonically
- ✅ train cases at least 720
- ✅ validation cases at least 360
- ✅ holdout cases at least 1440
- ✅ final protocols at least 24
- ✅ beats single agent by at least 95 points
- ✅ beats uncoordinated pool by at least 95 points
- ✅ beats static coordination by at least 60 points
- ✅ adversarial fully correct rate 100 percent
- ✅ coordination protocol accuracy 100 percent
- ✅ risk control accuracy 100 percent
- ✅ role quorum accuracy 100 percent
- ✅ capability lever accuracy 100 percent
- ✅ value capture rate at least 88 percent
- ✅ compounding index at least 96
- ✅ productive capacity index at least 96
- ✅ risk breach rate zero
- ✅ material miss rate zero
- ✅ decision cycle reduction at least 99 percent
- ✅ benchmark implied value captured over single agent positive
- ✅ agent messages on holdout at least 500000

## Boundary

This is a deterministic market-readiness benchmark using synthetic/redacted-style business cases and benchmark assumptions. It is not audited customer ROI, live customer adoption, financial advice, investment advice, actual superintelligence, Kardashev Type II achievement, or a guarantee of future outcomes.
