[PIR][WP19] Self-distilled entity-grounded skill synthesis in the Darwin loop (SkillForge pattern, ADR-321)
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- Rust
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Description
Part of the RuV Perpetual Intelligence Runtime (PIR), Wave 2. Epic: #837. Plan: docs/research/perpetual-intelligence-runtime/07-wave2-program-plan.md · evidence: 06-wave2-evidence-review.md (both land on main with the feat/pir-wave2-adrs PR).
ADR mapping
Proposed ruvector ADR-321 — self-distilled, entity-grounded skill synthesis inside the Darwin mutation loop. Extends merged ruvector ADR-313 (SHAPER, WP9 #841) directly: a mutation-generation strategy that synthesizes test-covered-functionality issues from the target repo itself (rather than waiting for real incidents), distills entity-grounded skills, and feeds them into the existing frozen-weight harness-evolution loop as one more candidate source.
Evidence
SkillForge (arXiv:2608.18933) — "SkillForge: Self-Distilling Agents for Project-Specific Issue Resolution," submitted 2026-08-19. Grade B+ — the mechanism is confirmed verbatim, but the headline "beats issue-resolution baselines" claim is qualitative only: no percentage figure appears in the abstract, so the magnitude of improvement is not independently verifiable.
⚠️ Because of the B+ grade, no performance number may be quoted for SkillForge anywhere in this WP's deliverables — not in the ADR, code comments, commit messages, or status updates. There is no verified number to quote; any figure that appears would be fabricated or sourced from unverified material. The only citable performance claim is this program's own research-gate-measured delta.
Artifact available now: github.com/cslsolow/SkillForge (verified via GitHub API: public, 2.5 MB, real content — distilling/, synthesis/, src/, evaluation_result/) — adapt the released implementation rather than rebuilding from the paper.
Scope
- Add synthetic-issue-from-test-coverage skill distillation as a Darwin mutation-candidate source.
- Surfaces:
harness/src/darwin.ts,examples/mragentscorePolicy— the same surfaces WP9 already owns; coordinate with WP9's remaining scope.
Candidate-mutation rule (applies to all of Wave 2)
Candidate mutation, not trusted prior art. Promotion requires this program's own research-gate paired-bootstrap-recomputed delta over the pre-WP baseline — never the paper's self-reported (here: nonexistent) numbers.
Acceptance criteria
- SkillForge-pattern candidate source wired into the Darwin loop (ADR-321)
-
research-gate-measured delta over the pre-WP baseline recorded before any promotion - Zero quoted SkillForge performance numbers anywhere in the deliverable (review-enforced)
-
security scanafter landing (touches the mutation-proposal surface) - ADR-321 merged with repo-qualified citations per ADR-305 §4
Depends on: WP9 (#841) — the SHAPER-pattern loop must exist to receive this as a candidate source. Phase W2-3.
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with harness/src/darwin.ts and the examples/mragent scorePolicy surface, then read ADR-313, ADR-321, and the Wave 2 program plan. Review the released SkillForge artifact before defining the candidate source. Done means the source is wired into the Darwin loop, the research-gate delta is recorded, no SkillForge performance numbers are quoted, ADR-321 is merged, and a security scan passes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- typescript
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100