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nature-experiment-log

标准化实验日志记录——直接上传或读取本地图片、语音和文字,产出带 YAML frontmatter 的 Markdown;可选集成飞书 CLI 与 Obsidian。

61

Quality

73%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/nature-experiment-log/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

81%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 skill body is well-organized, actionable, and sequenced with explicit validation and feedback loops appropriate to batch file-writing operations. Progressive disclosure is good with verified references, though a few template files are referenced but not bundled.

DimensionReasoningScore

Conciseness

The body is largely efficient and assumes Claude's competence, with only minor instances of over-explanation (e.g. the 'Obsidian 是一个基于本地 Markdown 文件的笔记系统…' description) that could be trimmed.

4 / 5

Actionability

Provides concrete executable commands (full lark-cli invocations with flags), explicit file paths, ID formats, and a directory tree; minor gaps include referenced template files whose contents are not shown.

4 / 5

Workflow Clarity

The 8-step process is clearly sequenced with an explicit confirmation checkpoint ('对缺失或模糊字段向用户确认,不猜测') and a feedback loop ('不猜测写入') before writing files, plus final location reporting.

5 / 5

Progressive Disclosure

Well-structured with clearly signaled, one-level-deep references to verified bundle files (references/example-*.md) in a table; minor gaps include template files referenced but not bundled and some inline reference material that could be externalized.

4 / 5

Total

17

/

20

Passed

Description

66%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 states what the skill does with concrete inputs and outputs, but lacks an explicit 'Use when…' trigger clause, capping completeness. It is distinct and reasonably specific without over-claiming.

Suggestions

Add an explicit 'Use when…' clause naming trigger situations, e.g. 'Use when recording or standardizing experiment logs from images, audio, or text.'

Include common natural synonyms and file extensions (e.g. .md, 实验记录) to broaden trigger-term coverage.

Restate the description in third-person action voice to avoid any implied first/second-person framing.

DimensionReasoningScore

Specificity

Names the domain ('标准化实验日志记录') plus concrete inputs (图片/语音/文字) and output ('带 YAML frontmatter 的 Markdown') with optional integrations (飞书 CLI, Obsidian), listing several specific actions with minor coverage gaps.

4 / 5

Completeness

The 'what' is clearly stated, but there is no 'Use when…' or equivalent explicit trigger guidance for when Claude should use it, which caps completeness at 3 per the rubric.

3 / 5

Trigger Term Quality

Includes natural terms users would say (实验日志, 图片, 语音, 飞书, Obsidian) with synonym coverage, but a few common variations are absent.

4 / 5

Distinctiveness Conflict Risk

It targets a clear niche (standardized experiment logging with Feishu/Obsidian integration) with mostly distinct triggers and only minor overlap risk with adjacent logging skills.

4 / 5

Total

15

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

Total

14

/

16

Passed

Repository
Yuan1z0825/nature-skills
Reviewed

Table of Contents

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