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feishu-fetch-doc

获取飞书云文档内容。返回文档的 Markdown 内容,支持处理文档中的图片、文件和画板(需配合 feishu_doc_media 工具)。

56

Quality

64%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./资料/feishu-openclaw-plugin/package/skills/feishu-fetch-doc/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

75%Weight 40%Scale 1-5

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-organized, actionable reference with concrete JSON/HTML examples and two clearly sequenced workflows. It is concise and assumes Claude's competence, with only minor gaps around error-recovery validation and showing the primary fetch call as an explicit payload.

Suggestions

Add a brief validation/error-recovery note for media downloads (e.g. retry or report when a download fails) to strengthen workflow feedback loops.

Show the primary feishu_mcp_fetch_doc call as an explicit example payload alongside the doc_id parameter description to make the main action fully copy-paste ready.

Consider trimming or folding the trailing 工具组合 table if its rows merely restate tools already introduced above, to remove the small conciseness redundancy.

DimensionReasoningScore

Conciseness

Lean and well-sectioned with no padding of concepts Claude already knows; the only minor redundancy is the trailing 工具组合 table restating tools already covered in the body.

4 / 5

Actionability

Provides concrete, mostly copy-paste-ready JSON payloads and HTML tag formats for media/wiki handling; the primary feishu_mcp_fetch_doc call is only described via its doc_id parameter rather than shown as a payload, leaving a minor gap.

4 / 5

Workflow Clarity

Both the media-retrieval and wiki-URL routing workflows are clearly numbered with a decision table and an explicit unsupported-type fallback; no explicit error-recovery feedback loop is given, keeping it just below a 5.

4 / 5

Progressive Disclosure

Single self-contained file (~85 lines) with clearly headed sections and a navigation-style tool table; no external references are needed and structure is good, though it sits slightly above the simple-skill threshold.

4 / 5

Total

16

/

20

Passed

Description

53%Weight 40%Scale 1-5

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 clearly conveys what the skill does (fetch Feishu cloud docs as Markdown, with media handling) but omits any explicit 'when to use' trigger guidance, which caps its completeness. Trigger phrasing and action specificity are adequate but could be more comprehensive.

Suggestions

Add an explicit 'Use when...' trigger clause, e.g. 'Use when the user asks to read or retrieve Feishu/Lark cloud documents, or provides a 飞书/feishu.cn document or wiki link.'

Enumerate the concrete actions more fully (e.g. fetch document text, extract media tokens, download images/files/whiteboards) to lift specificity above a 3.

Include natural synonyms users say (飞书文档, Lark 文档, 知识库/wiki) to broaden trigger-term coverage.

DimensionReasoningScore

Specificity

Names the domain (飞书云文档) and a few concrete actions (返回 Markdown 内容, 处理图片/文件/画板), but the media actions are high-level and delegated to another tool rather than comprehensively enumerated.

3 / 5

Completeness

Clearly answers 'what' (fetch Feishu cloud doc and return Markdown) but provides no explicit 'Use when...' trigger guidance, capping completeness at 3 per the rubric guideline.

3 / 5

Trigger Term Quality

Contains relevant domain keywords (飞书云文档, Markdown, 图片/文件/画板) but lacks natural user-facing trigger phrasing and common synonyms (e.g. 飞书文档, Lark 文档).

3 / 5

Distinctiveness Conflict Risk

Occupies a clear Feishu cloud-doc niche (docx) distinct from generic skills; only minor overlap risk with sibling Feishu tools (sheet/bitable).

4 / 5

Total

13

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
op7418/CodePilot
Reviewed

Table of Contents

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