Content
81%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A strong, dense operational skill: concrete tool recipes per query type, a worked 5-step example, explicit stop criteria acting as validation checkpoints, and a mistakes/fix table. Its weaknesses are token cost — dated dogfood anecdotes, internal ticket IDs, and family-specific calibration lore inlined in the main body — and calls given as patterns rather than copy-paste-ready examples.
Suggestions
Move the Ragdoll家族停止判据校准 section and the dated dogfood/telemetry history (2026-05-17/2026-07-08 实证, F085/F195/F196/F169, KD-8, DF-1, SW-1, 46 review P3) into a reference file (e.g. references/calibration-history.md), keeping only the operative stop rules in the body.
Make at least the coverage recipe copy-paste-ready: give one fully literal second-round expansion call (e.g. the exact expanded query strings for one term) instead of describing agent expansion abstractly.
Reconcile the duplicated stop-criteria guidance: the coverage 铁律 paragraph and the 何时停下来 table restate the same thresholds; merge them into the single table to cut tokens and remove drift risk.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and assumes competence — recipes are table rows, tool calls are bare signatures, no elementary concepts are explained — matching "Efficient; minor instances of over-explanation that could be trimmed". It is not 5 because it carries substantial time-sensitive internal history ("2026-05-17 dogfood 实证", "2026-07-08 三刀实测", "46 review P3 补", F085/F195/F196/F169, KD-8, DF-1, SW-1) that is not in a deprecated/old-patterns section and spends tokens an agent doesn't need. | 4 / 5 |
Actionability | Guidance is mostly executable: concrete tool invocations with parameters ("search_evidence(query, hybrid, scope=docs, limit=10)", "graph_resolve(anchor, depth=1, relations=[feature_ref,related_to])"), per-question-type recipes with example queries, and a concrete 5-step worked example — matching "Mostly executable guidance; concrete code or commands with minor gaps". It is not 5 because calls are parameterized patterns rather than copy-paste-ready literals (no fully worked search string per round, and the agent-expansion step is described rather than demonstrated as a runnable command). | 4 / 5 |
Workflow Clarity | Multi-step processes are clearly sequenced with explicit validation checkpoints: the 5-step AUDHD recipe, a per-type stop-criteria table ("≥3 路 + agent expand 二轮 + Read canonical → 无新 anchor 出现 才停", "正反两路 + ≥1 个相关概念都 0 命中即可断言 absent"), and a Common Mistakes table with 错误/后果/修复 that serves as error-recovery feedback — matching "Clear sequence with explicit validation steps; feedback loops for error recovery; checklists for complex processes". Not 4 because checkpoints and recovery guidance are explicit rather than implicit. | 5 / 5 |
Progressive Disclosure | No bundle files exist, and the single SKILL.md is well-organized with clear section headers, each self-contained and navigable — matching "Good structure; most content is appropriately placed; minor organization gaps". It is not 5 because at ~130 dense lines, specialized material (the Ragdoll family calibration section and the F256 Related-directions integration) could be split into reference files, and the "相关" section points at external project docs rather than bundle-relative paths, so references are not all clearly signaled within the skill. | 4 / 5 |
Total | 17 / 20 Passed |