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review-framework

Read the artifacts of a completed AutoQEC run and propose improvements to the framework code itself — DSL gaps, weak baselines, miscalibrated safety thresholds, prompt drift, env limitations, orchestration friction. Advisory only; never edits framework files. Use after a run completes when the user asks "what should we change before the next run?" or feels the system is plateauing.

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qualit527/qec-ai-decoder
최근 소스 활동
2026년 4월 25일 06:24
감지된 SKILL.md 언어
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기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.

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SKILL.md
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name
review-framework
description
Read the artifacts of a completed AutoQEC run and propose improvements to the framework code itself — DSL gaps, weak baselines, miscalibrated safety thresholds, prompt drift, env limitations, orchestration friction. Advisory only; never edits framework files. Use after a run completes when the user asks "what should we change before the next run?" or feels the system is plateauing.
# /review-framework ## When to use - A run has completed and the user wants to know what to **change in the codebase** before the next run. - The user feels Δ_LER is plateauing across runs and asks what is holding the framework back. This is the framework-code counterpart to `/review-log` (which reviews the research narrative). For single-round bug triage use `/diagnose-failure`; for checkpoint audits use `/verify-decoder`. ## Inputs - `run_dir` — path to `runs/<id>/`. ## Goal Read everything in `run_dir` that documents what happened, cross-read the project source freely, find weaknesses or bugs in the current framework, and propose improvements. The shape of the analysis — what to look for, how to group findings, how to rank them — is yours to decide per run. Suggested starting points (not a checklist): - `history.jsonl`, `pareto.json`, `log.md`, `orchestrator_trace.md` - per-round artifacts under `round_<N>/` (`config.yaml`, `train.log`, `metrics.json`, any `diagnosis.md` / `failure_diagnosis.md` / `verification_report.json`) - `python -m cli.autoqec review-log <run_dir>` for mechanical stats - project source under `autoqec/`, `cli/`, `.claude/agents/`, `autoqec/envs/builtin/`, `docs/contracts/` ## Output Write `runs/<id>/framework_review.md`. Structure is your call. Each finding must include: 1. **What's wrong** — one or two sentences. 2. **Evidence** — concrete pointers the user can re-open: file paths with line numbers (`history.jsonl:42`, `round_07/train.log:118`), trace quotes, or pinned source lines. 3. **Proposed change** — pinned to a specific file. A diff or YAML/code snippet is better than prose. "Improve the DSL" is not actionable. A finding without all three is unfinished — drop it or finish it. ## Tool-use rules - `Read`, `Grep`, `Glob` — anywhere. - `Write` — only to `runs/<id>/framework_review.md`. - `Bash` — only `python -m cli.autoqec review-log <run_dir>`. - Never `Edit` or `Write` framework source under `autoqec/`, `cli/`, `.claude/agents/`, `autoqec/envs/builtin/`, or `docs/contracts/`. The user applies recommendations themselves. ## Guardrail Never recommend weakening seed isolation, the safety whitelist (`autoqec.runner.safety`), or any reward-hacking guard. These are physical-isolation defenses against LLM agents that find their way around prose-only constraints; loosening them defeats the purpose of the project.
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