# SkillOS Autonomous RSI Capital-to-Capability Command Center v17 Proof

**Status:** `PASSED_AUTONOMOUS_RSI_CAPITAL_TO_CAPABILITY_COMMAND_CENTER_V17_PROOF`

## Workflow

Adversarial capital-to-capability coordination for capital, compute, energy, data, talent, product, distribution, trust, validation, risk control, and reinvestment.

## Safe Kardashev-scale framing

The motivating thesis is that a sufficiently capable machine could create immense economic value. This proof does **not** claim superintelligence, Kardashev Type II achievement, audited ROI, live customer adoption, or guaranteed outcomes.

It tests the business mechanism underneath that thesis:

> Can a large autonomous specialist-agent organization coordinate scarce resources into compounding productive capability?

## Large-scale multi-agent coordination

The proof coordinates **512 deterministic specialist agents** across **64 roles**.

It compares:

1. Single-agent baseline
2. Uncoordinated multi-agent pool
3. Static coordinated organization
4. SkillOS RSI coordinated organization

The final system uses required-role quorum, specialist consensus, risk-gated protocol selection, and validation-gated RSI releases.

## Holdout results

| Metric | Single agent | Uncoordinated pool | Static coordination | SkillOS RSI |
|---|---:|---:|---:|---:|
| Fully correct decisions | 0.0% | 0.0% | 27.6% | 100.0% |
| Coordination accuracy | 0.0% | 0.0% | 27.6% | 100.0% |
| Risk-control accuracy | 10.3% | 3.4% | 34.5% | 100.0% |
| Role-quorum accuracy | 0.0% | 0.0% | 27.6% | 100.0% |
| Capability-lever accuracy | 10.3% | 41.3% | 34.5% | 100.0% |
| Benchmark value capture rate | 2.7% | 1.7% | 33.4% | 90.5% |
| Compounding index | 6.3 | 4.9 | 31.9 | 98 |
| Productive capacity index | 7.4 | 5.7 | 32.7 | 98 |
| Risk breach rate | 69.0% | 72.4% | 44.8% | 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: +72.4 pts
- Decision-cycle reduction vs single agent: 99.5%
- Benchmark-implied value captured over single-agent baseline: $106,042,252,280.19
- Agent messages coordinated on holdout: 911,360

## RSI release history

- Gen 0: `baseline` — fully correct 0.0%, coordination 0.0%, risk 10.3%, compounding 6.3 — released
- Gen 1: `skillos-capability-command-rsi-v17-1` — fully correct 10.3%, coordination 10.3%, risk 20.6%, compounding 16.5 — released
- Gen 2: `skillos-capability-command-rsi-v17-2` — fully correct 20.6%, coordination 20.6%, risk 30.9%, compounding 26.6 — released
- Gen 3: `skillos-capability-command-rsi-v17-3` — fully correct 30.9%, coordination 30.9%, risk 37.8%, compounding 35.2 — released
- Gen 4: `skillos-capability-command-rsi-v17-4` — fully correct 41.2%, coordination 41.2%, risk 48.1%, compounding 45.3 — released
- Gen 5: `skillos-capability-command-rsi-v17-5` — fully correct 51.6%, coordination 51.6%, risk 55.0%, compounding 54.0 — released
- Gen 6: `skillos-capability-command-rsi-v17-6` — fully correct 61.9%, coordination 61.9%, risk 65.3%, compounding 64.1 — released
- Gen 7: `skillos-capability-command-rsi-v17-7` — fully correct 72.2%, coordination 72.2%, risk 75.6%, compounding 74.2 — released
- Gen 8: `skillos-capability-command-rsi-v17-8` — fully correct 82.5%, coordination 82.5%, risk 85.9%, compounding 83.8 — released
- Gen 9: `skillos-capability-command-rsi-v17-9` — fully correct 93.1%, coordination 93.1%, risk 96.6%, compounding 93.3 — released
- Gen 10: `skillos-capability-command-rsi-v17-10` — fully correct 100.0%, coordination 100.0%, risk 100.0%, compounding 98 — released

## Final released coordination protocols

- **protocol_compute_capex_lockstep** — Coordinate capital, compute, energy, demand, and risk agents before committing scarce compute capital.
- **protocol_hardware_supply_chain_resilience** — Coordinate hardware, supply chain, resilience, geopolitical, and capital agents to protect capability growth.
- **protocol_energy_interconnect_pathway** — Coordinate energy, grid, site, resilience, and capital agents to avoid stranded compute assets.
- **protocol_data_moat_privacy_loop** — Coordinate data, privacy, validation, registry, and product agents to compound trace value safely.
- **protocol_talent_to_automation_leverage** — Coordinate talent and automation agents to turn scarce experts into compounding tools without eroding quality.
- **protocol_trust_to_enterprise_adoption** — Coordinate trust, security, claims, demand, and validation agents to turn proof into enterprise adoption.
- **protocol_pricing_power_reinvestment** — Coordinate pricing, success, finance, reinvestment, and validation agents to convert pricing power into capability.
- **protocol_service_to_capability_platform** — Coordinate product, workflow, success, capital, and quality agents to transform services into scalable capability.
- **protocol_regulated_beachhead** — Coordinate regulatory, claims, risk, demand, and audit agents to enter regulated markets safely.
- **protocol_private_registry_compounding** — Coordinate registry, data, success, and privacy agents to build durable private capability compounding.
- **protocol_capital_portfolio_frontier** — Coordinate capital, portfolio, time-horizon, risk, and scenario agents around the capability investment frontier.
- **protocol_capability_validation_gate** — Coordinate evaluation, validation, claims, release, and audit agents to prevent unverified capability claims.
- **protocol_compute_cost_shock_defense** — Coordinate compute, efficiency, validation, finance, and quality agents to defend economics during compute shocks.
- **protocol_proof_to_capital** — Coordinate proof, trust, audit, demand, and capital agents to turn reproducibility into business traction.
- **protocol_safety_case_reinvestment** — Coordinate safety, red-team, regulatory, validation, and coordination agents before accelerating deployment.
- **protocol_customer_value_repair** — Coordinate success, product, validation, market, and quality agents to repair value gaps before growth.
- **protocol_capability_simulation_before_capex** — Coordinate scenario, capital, risk, compute, and energy agents before irreversible capex decisions.
- **protocol_open_clone_moat** — Coordinate ecosystem, registry, partner, risk, and validation agents to make serious clones prefer the network.
- **protocol_geopolitical_resilience** — Coordinate geopolitical, supply, resilience, regulatory, and capital agents to protect the capability chain.
- **protocol_claim_safe_kardashev_framing** — Coordinate claims, safety, documentation, audit, and coordination agents to keep Kardashev-scale framing credible.
- **protocol_frontier_model_portfolio** — Coordinate model, tooling, finance, risk, and evaluation agents around the model capability frontier.
- **protocol_human_agency_guardrail** — Coordinate agency, risk, quality, organization, and coordination agents before high-impact automation scale-up.
- **protocol_distribution_arbitrage** — Coordinate distribution, partner, quality, finance, and success agents to capture verified distribution arbitrage.
- **protocol_energy_market_arbitrage** — Coordinate power, energy, operations, finance, and risk agents to capture energy-cost advantage safely.
- **protocol_network_effect_seed** — Coordinate ecosystem, market, partner, validation, and capital agents to seed network effects deliberately.
- **protocol_capability_release_cadence** — Coordinate release, validation, quality, evaluation, and workflow agents to increase safe release velocity.
- **protocol_acquisition_integration** — Coordinate capital, product, organization, risk, and audit agents before acquisition-style capability bets.
- **protocol_seasonal_capacity_spike** — Coordinate capacity, pricing, compute, success, and finance agents around seasonal demand spikes.
- **protocol_negative_control_hold** — Recognize a clean compounding lane and avoid damaging it with unnecessary intervention.

## Pre-registered proof gates

- ✅ agent count passes
- ✅ role count passes
- ✅ adversarial state count passes
- ✅ train validation holdout sizes pass
- ✅ rsi releases pass
- ✅ final protocol coverage passes
- ✅ gain vs single agent passes
- ✅ gain vs uncoordinated pool passes
- ✅ gain vs static coordination passes
- ✅ coordination accuracy passes
- ✅ risk control accuracy passes
- ✅ role quorum accuracy passes
- ✅ capability lever accuracy passes
- ✅ benchmark value capture passes
- ✅ compounding index passes
- ✅ productive capacity index passes
- ✅ risk breach rate passes
- ✅ material miss rate passes
- ✅ decision cycle reduction passes
- ✅ agent messages pass
- ✅ validation monotonicity passes
- ✅ safe kardashev boundary present
- ✅ no human review no customers no private data no api keys

## Proof receipts

- Repository: `MontrealAI/skillos`
- Commit SHA: `7d565cb3c2d1bce8d91ca7c31c6a7f9aed8701f9`
- Workflow: `Autonomous RSI Capital-to-Capability Command Center v17 Proof`
- Run URL: `https://github.com/MontrealAI/skillos/actions/runs/27358039807`
- Benchmark seed: `20260530`
- Generated at: `2026-06-11T15:28:11Z`

## 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.
