# SkillOS Autonomous RSI Marketplace Flywheel Market-Readiness Proof

**Status:** `PASSED_AUTONOMOUS_RSI_MARKETPLACE_FLYWHEEL_MARKET_PROOF`

## Workflow

AI work marketplace liquidity, skill-supply allocation, pricing, routing, and compounding flywheel optimization.

## Why this matters

This is a highly scalable business-domain proof for the actual marketplace dynamics behind AI-agent work. It is not an email example, invoice example, CloudOps example, cyber defense example, silicon example, metamaterials example, generic corporate OS example, or unit-economics profit-engine example.

The system must decide how to turn jobs into compounding skill supply, marketplace liquidity, margin, retention, trust, and durable business value.

## Recursive Self-Improvement

SkillOS runs recursive self-improvement:

training failures → lessons → candidate marketplace flywheel rules → validation → released skill versions → holdout proof

## Holdout results

| Metric | Baseline | Final SkillOS RSI |
|---|---:|---:|
| Fully correct decisions | 9.1% | 100.0% |
| Market-state accuracy | 9.1% | 100.0% |
| Intervention accuracy | 9.1% | 100.0% |
| Flywheel accuracy | 9.1% | 100.0% |
| Value capture rate | 5.6% | 87.0% |
| Marketplace liquidity score | 13.9 | 96 |
| Compounding index | 11.3 | 95 |
| Material miss rate | 57.6% | 0.0% |
| False intervention rate | 0.0% | 0.0% |
| Avg decision cycle | 30.341 days | 0.329 days |

## Improvements

- Fully correct gain: +90.9 pts
- Market-state accuracy gain: +90.9 pts
- Value capture gain: +81.4 pts
- Marketplace liquidity gain: +82.1 pts
- Compounding index gain: +83.7 pts
- Material miss reduction: 100.0%
- Decision-cycle reduction: 98.9%
- Decision-cost reduction: 98.9%
- Synthetic annual value captured on holdout: $19,438,892,166.31

## RSI release history

- Gen 0: `baseline` — fully correct 9.3%, value capture 5.5%, liquidity 14.1, compounding 11.5 — released
- Gen 1: `skillos-marketplace-flywheel-rsi-v1` — fully correct 20.9%, value capture 18.9%, liquidity 25.0, compounding 22.5 — released
- Gen 2: `skillos-marketplace-flywheel-rsi-v2` — fully correct 31.6%, value capture 33.9%, liquidity 35.0, compounding 32.6 — released
- Gen 3: `skillos-marketplace-flywheel-rsi-v3` — fully correct 42.7%, value capture 47.8%, liquidity 45.4, compounding 43.2 — released
- Gen 4: `skillos-marketplace-flywheel-rsi-v4` — fully correct 53.3%, value capture 63.8%, liquidity 55.5, compounding 53.3 — released
- Gen 5: `skillos-marketplace-flywheel-rsi-v5` — fully correct 62.7%, value capture 77.5%, liquidity 64.2, compounding 62.2 — released
- Gen 6: `skillos-marketplace-flywheel-rsi-v6` — fully correct 72.4%, value capture 82.7%, liquidity 72.9, compounding 71.0 — released
- Gen 7: `skillos-marketplace-flywheel-rsi-v7` — fully correct 83.6%, value capture 84.2%, liquidity 82.2, compounding 80.7 — released
- Gen 8: `skillos-marketplace-flywheel-rsi-v8` — fully correct 94.7%, value capture 86.4%, liquidity 91.5, compounding 90.4 — released
- Gen 9: `skillos-marketplace-flywheel-rsi-v9` — fully correct 100.0%, value capture 87.1%, liquidity 96, compounding 95 — released
- Gen 10: `skillos-marketplace-flywheel-rsi-v10` — fully correct 100.0%, value capture 87.1%, liquidity 96, compounding 95 — released

## Final learned marketplace flywheel skills

- **skill_compound_repeatable_work** — When demand is high and work is repeatable but skill quality is weak, allocate learning capacity to skill releases.
- **skill_enterprise_quality_gate** — When enterprise demand is blocked by quality risk, install validation gates before increasing volume.
- **skill_creator_supply_gap** — When demand exists but skill supply is thin, seed creator supply for the scarce categories.
- **skill_capacity_constrained_lane** — When high-margin demand exceeds runtime capacity, reserve capacity and prioritize high-margin routing.
- **skill_private_registry_moat** — When traces are customer-specific and repeated, create a private skill registry that compounds inside the account.
- **skill_bundle_network_effect** — When adjacent workflows reinforce each other, bundle them into a networked multi-skill offer.
- **skill_sla_volume_guardrail** — When high volume threatens SLA quality, throttle volume until guardrails and validators clear.
- **skill_feedback_rich_lane** — When feedback density is high, prioritize the lane because each job improves the next.
- **skill_outcome_gap_retention** — When outcomes lag and churn risk rises, repair the outcome metric before scaling demand.
- **skill_enterprise_price_discovery** — When enterprise willingness-to-pay is high, reset price floors and connect pricing to verified outcomes.
- **skill_model_routing_margin** — When model routing destroys margin, improve routing, caching, and trace reuse.
- **skill_exit_commodity_trap** — When competition is high and differentiation is low, exit or reprice commodity work.
- **skill_validator_bottleneck** — When validators bottleneck releases, automate repeatable checks and expand validation capacity.
- **skill_cold_start_liquidity** — When a marketplace lane lacks liquidity, seed benchmark jobs and reference skills.
- **skill_long_tail_template** — When long-tail work is fragmented, convert it into templates and a skill DSL.
- **skill_procurement_pack** — When procurement slows adoption, package evidence into repeatable procurement collateral.
- **skill_seasonal_elasticity** — When seasonal demand spikes, apply elastic pricing and reserve capacity.
- **skill_clean_flywheel** — Recognize a clean scalable flywheel and avoid unnecessary intervention.

## Proof gates

- ✅ business domain highly scalable marketplace flywheel workflow
- ✅ 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
- ✅ no human review required
- ✅ no customers contacted
- ✅ no private data used
- ✅ no api keys required
- ✅ deterministic reproducible benchmark
- ✅ recursive self improvement releases at least 10
- ✅ rsi validation improves monotonically
- ✅ train cases at least 450
- ✅ validation cases at least 225
- ✅ holdout cases at least 900
- ✅ final rules at least 18
- ✅ fully correct gain at least 85 points
- ✅ market state accuracy at least 99 percent
- ✅ intervention accuracy at least 99 percent
- ✅ flywheel accuracy at least 99 percent
- ✅ value capture rate at least 75 percent
- ✅ marketplace liquidity score at least 90
- ✅ compounding index at least 90
- ✅ material miss rate zero
- ✅ false intervention rate zero
- ✅ decision cycle reduction at least 90 percent
- ✅ decision cost reduction at least 90 percent
- ✅ synthetic value captured positive

## Boundary

This is a 100% autonomous reference workflow proof using deterministic synthetic/redacted-style business data and benchmark assumptions. It is not audited customer ROI, live customer market proof, financial advice, investment advice, or a guarantee of future outcomes.
