Content
78%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.
The body is an actionable, well-sequenced routing guide with concrete MCP call signatures and a genuine feedback loop for low-hit searches. Its weaknesses are externalized/dangling references that undermine progressive disclosure, and scattered internal project jargon that costs tokens without operational benefit.
Suggestions
Move or copy the routing partial into a bundle file (e.g. references/memory-routing-partial.md) and link it with a clear one-level-deep pointer, so the declared single source of truth is actually resolvable from the skill.
Remove or relocate non-operational project markers (F188/AC-F6/KD-7/4.6 review references and the '猫的认知成本' rationale) into the spec doc; keep only guidance that changes what the agent does.
Delete the dangling 'Plan: *(internal reference removed)*' line or replace it with a live path, and add an explicit checkpoint after entry invocation (e.g. what a good hit looks like) before chaining into the next skill.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and operational with no explanations of concepts Claude already knows, but internal project markers ("F188 Phase F (AC-F6)", "KD-7", "4.6 review #3 缓解工具数量膨胀", "猫的认知成本") and meta-commentary about design history spend tokens without adding executable value. Not anchor 5 because every token does not earn its place; not anchor 3 because the padding is minor and localized. | 4 / 5 |
Actionability | Fully executable invocations with concrete parameters throughout: `graph_resolve(anchor, depth=1)`, `search_evidence(query, mode="hybrid")`, `list_recent(scope="docs", since="3d")`, relation filter values like `["wikilink", "doc_link"]`, and `limit=20`. The decision tree covers all common branches with copy-paste-ready commands, matching the anchor 5 example for an instruction-only skill. | 5 / 5 |
Workflow Clarity | The decision tree sequences every branch including the no-match fallback ("用 cross-cat-handoff 找人问，或问operator澄清需求"), and the low-hit nudge ("这是低命中信号，立刻试 graph 或 recent，不要继续盲搜") is an explicit error-recovery feedback loop. It falls short of anchor 5 because there is no explicit validation checkpoint confirming the chosen entry's results are usable before chaining onward ("链入下一 skill"). | 4 / 5 |
Progressive Disclosure | Sections are well organized, but the declared single-source-of-truth reference `../.cat-cafe-shared-refs/memory-routing-partial.md` and the Spec path `docs/features/F188-library-stewardship.md` live outside the skill bundle (no references/ directory exists), and "Plan: *(internal reference removed)*" is a dangling stub — so navigation to deeper material is not actually achievable from the skill. This matches anchor 3 (structure present but references not clearly resolvable) rather than anchor 4, whose references are mostly clear and functional. | 3 / 5 |
Total | 16 / 20 Passed |