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skill-vetter

Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.

66

Quality

80%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

82%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.

A well-structured, highly actionable vetting protocol with concrete checklists, a decision table, an output template, and real executable commands. It is token-efficient and clearly sequenced, with only minor padding and no need for external reference files.

DimensionReasoningScore

Conciseness

The body is largely efficient and assumes Claude's competence (it does not explain what curl, base64, or eval are), but the 'Remember' section's trite restatements and the decorative box-drawing padding are minor trim opportunities that keep it just below 5.

4 / 5

Actionability

It provides specific red-flag patterns to grep for, a copy-paste-ready vetting report template, and fully executable curl+jq commands for GitHub-hosted skills, covering the common cases concretely.

5 / 5

Workflow Clarity

Steps 1–4 are clearly sequenced with decision checkpoints (the 'REJECT IMMEDIATELY' red-flag gate and the risk-classification table leading to a verdict), but it is a linear decision flow without a validate→fix→retry feedback loop, so it falls short of 5.

4 / 5

Progressive Disclosure

The skill is self-contained with well-organized, clearly headed sections and no nested references, but at ~130 lines it exceeds the under-50-line simple-skill exception and has no external references to signal, so the 5 anchor (built around one-level-deep reference navigation) does not quite apply.

4 / 5

Total

17

/

20

Passed

Description

78%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.

A strong, well-structured description that clearly states both purpose and an explicit trigger, with good natural keywords and a distinct niche. Its main weakness is that the listed capabilities are broad categories rather than specific, granular actions.

DimensionReasoningScore

Specificity

Names the domain ('Security-first skill vetting for AI agents') and a few actions ('Checks for red flags, permission scope, and suspicious patterns'), but the actions are broad categories rather than granular concrete operations, so it is not comprehensive enough for a 4.

3 / 5

Completeness

It explicitly answers both what ('Security-first skill vetting... Checks for red flags, permission scope, and suspicious patterns') and when ('Use before installing any skill from ClawdHub, GitHub, or other sources') with a concrete trigger phrase, matching the 5 anchor.

5 / 5

Trigger Term Quality

'Use before installing any skill from ClawdHub, GitHub, or other sources' supplies several natural keywords a user would say (installing, skill, ClawdHub, GitHub), but it omits common synonyms like 'safe', 'review', 'trust', or 'audit' that would push it to 5.

4 / 5

Distinctiveness Conflict Risk

The pre-install skill-vetting niche with source-specific triggers is mostly distinct, but terms like 'red flags' and 'suspicious patterns' leave minor overlap risk with general security or code-review skills, so it is not a clean 5.

4 / 5

Total

16

/

20

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
netease-youdao/LobsterAI
Reviewed

Table of Contents

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