# Autonomous RSI Enterprise Capability Foundry Proof

This is a 100% autonomous GitHub Action proof designed to be legible to business operators and credible to RSI researchers.

## The thesis

Recursive-style systems focus on automating knowledge discovery.

SkillOS proves the enterprise analogue:

> capital → compute → energy → data → trust → talent → product → distribution → validation → risk control → reinvestment → compounding productive capability

The proof does not claim achieved superintelligence or Kardashev Type II civilization. It decomposes that value thesis into a reproducible benchmark mechanism: can recursive coordination improve enterprise value conversion under risk constraints?

## What is new

This is not a landing page, not a pitch deck, and not a previous email workflow.

It is a deterministic benchmark proof with:

- 4,096 deterministic virtual agents
- 256 specialist roles
- 32 governance councils
- 8 enterprise regimes
- train / validation / locked holdout splits
- 11 candidate enterprise actions per case
- validation-gated Recursive Self-Improvement releases
- single-agent baseline
- uncoordinated large-agent pool baseline
- static multi-agent operating committee baseline
- no-RSI large organization baseline
- shuffled-reward RSI negative control
- random-protocol negative control
- bootstrap confidence intervals
- protocol fingerprint
- JSON receipt
- Markdown report
- visual proof page
- public badge
- GitHub artifact upload
- optional GitHub Pages deployment

## Generated outputs

```text
data/rsi_enterprise_capability_foundry_proof.json
docs/rsi_enterprise_capability_foundry_proof.md
site/rsi-enterprise-capability-foundry-proof.html
badges/rsi_enterprise_capability_foundry_proof.svg
```

## Run

```text
Actions → Autonomous RSI Enterprise Capability Foundry Proof → Run workflow
```

## Public boundary

Benchmark proof values are not audited customer revenue, financial advice, investment advice, live customer adoption, achieved superintelligence, or Kardashev Type II achievement.
