Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a well-structured retrieval overview with concrete file routing, a clear workflow, and clean one-level-deep progressive disclosure. Its only weakness is mild verbosity in the Calibration Examples and Boundaries sections. Tightening those would raise conciseness to top marks.
Suggestions
Trim or fold the Calibration Examples into the Workflow section — their answer patterns largely restate the Locate→Retrieve→Cite guidance and the routing table.
Compress the Boundaries Do/Don't list so it does not duplicate the Mission and Tone sections; keep only the non-obvious constraints (e.g. the Stage 0 pretraining catalog caveat).
Consider moving the per-question-type routing table and file tree into INDEX.md and keeping SKILL.md as a lean pointer, reducing the body's token footprint further.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient operational guidance with no concept-explainer padding, but the Calibration Examples (~40 lines) and the Boundaries Do/Don't list partly restate the Mission/Tone/Workflow sections and could be tightened. | 2 / 3 |
Actionability | The Retrieve routing table maps each question type to exact file paths ('Architecture / active params → paper/architecture.md') and the Quick Path Reference gives a copy-ready file tree, which is fully actionable for an instruction-only retrieval skill. | 3 / 3 |
Workflow Clarity | A clear Locate → Retrieve → Cite sequence is given with numbered sub-steps, plus an explicit source-priority conflict-resolution rule; the rubric's feedback-loop caveat does not apply to a read-only retrieval task. | 3 / 3 |
Progressive Disclosure | The SKILL.md acts as an overview pointing one level deep to INDEX.md, paper/*.md, recipes/*.md, and model-card.md, with a clear file tree and no nested 'see X → see Y' reference chains. | 3 / 3 |
Total | 11 / 12 Passed |