Content
88%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.
An unusually actionable routing skill: the decision tree, noise-control parameter tables, and explicit feedback loops (low-hit nudge handling, relevance-vs-evidence discipline) give copy-paste-ready guidance with no concept padding. The only real gaps are minor — slight duplication between 'When to load' and the frontmatter, and a reference section with a removed-placeholder remnant and no in-bundle files.
Suggestions
Trim the 'When to load' section or differentiate it from the frontmatter description to remove near-duplicate trigger lists and save tokens.
Clean up the '相关' section: drop the '*(internal reference removed)*' placeholder line, and either inline the essential content of `../.cat-cafe-shared-refs/memory-routing-partial.md` into a `references/` bundle file or state what the partial adds so navigation to it is self-contained.
Replace the meta-commentary lines in 关键纪律 (e.g. '猫的认知成本来自…') with the operational rule alone, keeping the discipline items instruction-shaped.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense, operational guidance with no padding explaining concepts Claude already knows, but minor redundancy exists: the 'When to load' list largely duplicates the frontmatter triggers, and 关键纪律 includes meta-commentary ('猫的认知成本来自"工具间互相找"…'). Matches anchor 4 — efficient with a few instances that could be trimmed; not 5 due to that duplication, not 3 since padding is minimal. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready tool calls with concrete parameters: 'graph_resolve(anchor, depth=1)', 'search_evidence(query, mode="hybrid")', 'list_recent(scope="all", since="7d")', 'cat_cafe_get_message(messageId="裸消息ID", mode="full")', plus exact filter values ('["wikilink", "doc_link"]'), defaults/limits ('depth: 默认 1，上限 3') and a mode lookup table covering the common cases. As an instruction-only skill, absence of code is not penalized — the guidance is maximally concrete. | 5 / 5 |
Workflow Clarity | The decision tree gives a clear sequenced workflow (coordinate type → precise anchor? → keyword? → recent scan? → else hand off) with explicit feedback loops and checkpoints: 'low-hit 时会自动 nudge 你试其他入口（KD-7）', '看到 search_evidence payload 的 🧭 Memory navigation nudge…立刻试 graph 或 recent，不要继续盲搜', and '高分候选只表明相关，不等于本题所需的当前依据…改写查询或用 list_recent…再明确缺口'. Matches anchor 5 (clear sequence + explicit validation/error-recovery); not a destructive or batch skill, so no cap applies. | 5 / 5 |
Progressive Disclosure | Well-organized sections (When to load / decision tree / noise control / tool family / discipline / privacy / chaining / related) with a clearly signaled one-level reference ('单一真相源：`../.cat-cafe-shared-refs/memory-routing-partial.md`'). Not 5: there is no in-bundle reference structure, the single-source-of-truth file lives outside the skill bundle, and the '相关' section retains a dangling '*(internal reference removed)*' placeholder — minor organization gaps per anchor 4. | 4 / 5 |
Total | 18 / 20 Passed |