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skill-quality-reviewer

This skill should be used when the user asks to "analyze skill quality", "evaluate this skill", "review skill quality", "check my skill", or "generate quality report". Evaluates local skills across description quality, content organization, writing style, and structural integrity.

72

Quality

88%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

High

Do not use without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

77%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is well-organized and actionable with a clear sequenced workflow and real supporting scripts/references, but it is verbose and keeps substantial material inline that would be better split into references, slightly undercutting token efficiency and progressive disclosure.

Suggestions

Move the full Quality Report and Improvement Plan output templates into references/ (e.g., the existing references/batch-review-template.md) and reference them from the body, trimming roughly 80 lines from SKILL.md.

Remove or relocate the 'Grade Benchmarks', 'Common Quality Issues', and four 'Usage Examples' sections to references/examples-good.md or a dedicated doc, since they restate concepts Claude already knows.

De-duplicate the per-dimension scoring tables against references/scoring-criteria.md, keeping only a brief pointer in the body to avoid maintaining two copies of the rubric.

DimensionReasoningScore

Conciseness

The body is well-structured but verbose — the full report/improvement templates (~86 lines), letter-grade benchmark tables, best-practices lists, and four illustrative usage examples add length that could be tightened or moved to references, matching 'mostly efficient but could be tightened'.

2 / 3

Actionability

It provides concrete executable guidance: a bash command, the weighted-score formula, references to real scripts (extract-yaml.sh, skill-audit.py), and copy-paste-ready output templates, satisfying the actionable anchor for an instruction-only skill.

3 / 3

Workflow Clarity

An eight-step numbered workflow is clearly sequenced with validation checklists in Step 1 ('Validate:') and 'Check for:' lists throughout; as a read-only review it needs no destructive retry loop, so the cap does not apply.

3 / 3

Progressive Disclosure

References are well-signaled and one-level-deep and all referenced files exist, but large content that should be separate is inlined (output templates, grade benchmarks, usage examples), scoring tables duplicate references/scoring-criteria.md, and references/batch-review-template.md is an unreferenced bundle file.

2 / 3

Total

10

/

12

Passed

Description

100%

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 strong: it uses third-person framing, lists five natural trigger phrases, and explicitly covers both the 'what' (four named evaluation dimensions) and the 'when'. It is a clear, distinctive, well-targeted trigger description.

DimensionReasoningScore

Specificity

The description enumerates concrete evaluation dimensions — 'description quality, content organization, writing style, and structural integrity' — listing multiple specific actions rather than vague language, matching the score-3 anchor.

3 / 3

Completeness

It explicitly answers both what ('Evaluates local skills across...') and when ('This skill should be used when the user asks to...') with explicit triggers, satisfying the score-3 anchor.

3 / 3

Trigger Term Quality

It provides five natural trigger phrases a user would actually say — 'analyze skill quality', 'evaluate this skill', 'review skill quality', 'check my skill', 'generate quality report' — giving good coverage of natural terms.

3 / 3

Distinctiveness Conflict Risk

The skill-quality-review niche with distinct triggers like 'evaluate this skill' and 'generate quality report' is unlikely to fire for unrelated skills, matching the clear-niche anchor.

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
Galaxy-Dawn/claude-scholar
Reviewed

Table of Contents

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.