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convention-graph-discovery

约定图发现方法论:进一个 repo 先识别 repo-specific conventions,再定义 domain/extractor 接 Convention Graph 引擎。Use when: 进入陌生 repo、要画约定图、要找“改 X 影响谁”的约定层关联、 F242/Convention Graph Layer 工作。Not for: 普通符号跳转/LSP、文档索引检索、记忆图谱、直接使用 codegraph/GitNexus。Output: domain 定义 + extractor 计划 + gap/freshness/provenance 报告。 GOTCHA: 沉淀的是“怎么画图”的方法,不是把 cat-cafe 的 extractor 硬搬到所有 repo。

74

Quality

92%

Does it follow best practices?

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SecuritybySnyk

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SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-3

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 executable commands, a sequenced protocol, and explicit validation/feedback loops, organized as a clean single-file overview. The only weakness is mild redundancy in the framing/Why-this-is-a-skill section that could be trimmed.

Suggestions

Trim or merge the "价值门禁 / Why This Is a Skill" section — its framing restates distinctiveness already covered by "和其他 Skill 的区别" and the description's Not-for list.

Consider collapsing the bilingual section headers (e.g. "流程 / Discovery Protocol") to one language to save tokens without losing clarity.

DimensionReasoningScore

Conciseness

The body is mostly lean (tables, tight bullets, no basic-concept padding), but the "价值门禁 / Why This Is a Skill" framing and bilingual headings add tokens that could be tightened. It is not score 3 because not every token earns its place, and not score 1 because there is no verbose concept explanation.

2 / 3

Actionability

Provides copy-paste-ready CLI commands ("pnpm convention-graph:index -- --repo .", the code-consumers invocation with a clearly marked placeholder) and describes the JSON output shape (targets/consumers/provenance/freshness). This matches the score-3 anchor of fully executable commands with specific examples.

3 / 3

Workflow Clarity

The 7-step Discovery Protocol is clearly sequenced with explicit validation checkpoints (baseline comparison, gap reporting, stale-handling feedback loop "先重跑 convention-graph:index,再决定影响面") plus a Pressure Test checklist. It is not score 2 because validation and retry loops are explicit, not implicit.

3 / 3

Progressive Disclosure

No bundle files exist, so the skill is a single self-contained SKILL.md organized into clear, well-signaled sections (When to Use, Discovery Protocol, Product Entry, Quick Reference, Common Mistakes, Pressure Test) with no nested reference chains. It is not score 2 because organization is clean and there are no deep/inline dumps that should be split out.

3 / 3

Total

11

/

12

Passed

Description

100%Weight 40%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific, trigger-rich, and explicitly separates use-cases from exclusions, giving it a clear niche. It answers what, when, and what-not-for concisely without first/second-person voice.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ("识别 repo-specific conventions", "定义 domain/extractor", "接 Convention Graph 引擎") plus a concrete output spec ("domain 定义 + extractor 计划 + gap/freshness/provenance 报告"). It matches the score-3 anchor of multiple specific concrete actions, not the score-2 anchor that only names a domain and some actions.

3 / 3

Completeness

It explicitly answers both what (识别 conventions → 定义 domain/extractor → 接引擎) and when ("Use when: ..." plus "Not for: ..."), matching the score-3 anchor with explicit triggers. It is not score 2 because the when clause is explicit, not merely implied.

3 / 3

Trigger Term Quality

The "Use when" clause and the triggers list include natural phrasings a user would say ("进陌生 repo", "画约定图", "改 X 影响谁", "顺藤摸瓜", "F242"), giving good coverage rather than just technical jargon. It is not score 2 because common variations are present, not missing.

3 / 3

Distinctiveness Conflict Risk

A clear niche (Convention Graph Layer / F242) with an explicit "Not for" exclusion list (LSP, 文档索引检索, 记忆图谱, codegraph/GitNexus) makes it unlikely to trigger for the wrong skill. It is not score 2 because the exclusions carve out a distinct niche rather than leaving overlap.

3 / 3

Total

12

/

12

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
zts212653/clowder-ai
Reviewed

Table of Contents

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