# Deep Research Evidence Summary

## Run Metadata

- Run ID: `trun_64f5be03055a4b52adf17481e4b865bc`
- Interaction ID: `trun_64f5be03055a4b52adf17481e4b865bc`
- Local metadata: `raw/autonomous-research-frameworks-executable.json`
- Related raw evidence: `raw/autonomous-research-harness-evolution.json`
- Status: completed

## Executive Summary

Parallel deep research produced a concrete architecture for an autonomous research system that maintains an AI skills encyclopedia inside a file-based open-source repository. The recommended architecture aligns with the repo implementation:

- Deterministic validation harnesses are the locked evaluator.
- Durable scratchpads and `THREAD.md`-style logs preserve auditability and recovery.
- Novelty gates prevent redundant or trivial skill revisions.
- Pairwise skill revision evaluation compares candidate skill changes under controlled conditions.
- Auto-PR workflows can prepare reviewable changes, but human review and merge remain mandatory.

## Implementable Patterns To Carry Forward

1. **Deterministic validation first**: Freeze repo structure checks and schema validation before adding model-judged gates.
2. **Durable run directories**: Every research loop should create a directory with `THREAD.md`, source queue, evaluations, proposals, reports, and logs.
3. **Novelty gate**: Compare proposed skill deltas against accepted mechanisms, existing skills, fixtures, and rejected ideas before drafting.
4. **Pairwise revisions**: When two skill drafts compete, evaluate both with the same rubric, same source evidence, and a simplicity tie-breaker.
5. **Human-controlled merge**: Agents may prepare PR content after checks pass, but merge authority remains outside the autonomous loop.

## Candidate Follow-Up Changes

- Add a mechanism registry so novelty checks compare accepted behavior changes before broad corpus overlap.
- Add a pairwise skill revision rubric or script that compares two candidate skill files.
- Add a CI workflow once the repo is ready to run deterministic validation on every PR.
- Add model-judged evaluation only after fixtures and deterministic gates are stable.