Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with concrete commands, signal tokens, and a clear validation feedback loop, making the core workflow easy to follow. Its weak spots are conciseness (motivational/autoresearch-comparison padding) and progressive disclosure (everything inline in one file with no external reference structure).
Suggestions
Trim the opening autoresearch blockquote and the closing '与 autoresearch 的关系' comparison table, or move them to a separate reference file, since they are background rather than operational guidance.
Consider extracting the detailed .claude/pua-loop-history.jsonl schema and the pressure-escalation tables into a references file, leaving SKILL.md as a lean overview that points to them.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly concrete and instructional, but the motivational autoresearch blockquote and the closing '与 autoresearch 的关系' comparison table add context Claude does not need and could be trimmed. | 2 / 3 |
Actionability | Provides copy-paste-ready commands (the setup-pua-loop.sh invocation, --verify examples) and concrete signal tokens (<promise>LOOP_DONE</promise>, <loop-abort>, <loop-pause>) plus a real history.jsonl schema. | 3 / 3 |
Workflow Clarity | Sequences the multi-step flow clearly (启动 Steps 1-3, the read-history→git-log→execute→verify→repeat loop) with an explicit validation feedback loop on Oracle rejection, matching the checkpoint pattern the rubric rewards. | 3 / 3 |
Progressive Disclosure | Well-sectioned and self-contained with no deep reference nesting, but it is a monolithic single file with inline tables/diagrams/history schema that could be split into reference files; no bundle files are present. | 2 / 3 |
Total | 10 / 12 Passed |