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review-checklist

Pre-merge review checklist based on recurring AI reviewer feedback patterns

70

Quality

86%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

100%

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 tight, highly actionable checklist that assumes Claude's competence and gives concrete API/command anchors, with clean thematic organization appropriate to a simple skill. No changes needed.

DimensionReasoningScore

Conciseness

The body is a lean checklist with no concept explanations or padding; every item earns its place (e.g. 'No byte-index slicing ... use is_char_boundary() or char_indices()'), matching the score-3 lean-and-efficient anchor.

3 / 3

Actionability

Although it is instruction-only, the items give concrete, actionable checks with specific API names, greps, crates, and IPs (redact_params(), grep 'impl LlmProvider for', tempfile, RFC 5737 192.0.2.1), satisfying the actionable-guidance standard for non-code skills.

3 / 3

Workflow Clarity

As a simple single-purpose skill under 50 lines, the well-organized thematic sections with an explicit pre-merge gate ('Before merging, verify these items') meet the score-3 bar for simple skills; each checkbox functions as a validation checkpoint.

3 / 3

Progressive Disclosure

The skill is under 50 lines, needs no external references, and is organized into clear thematic sections, which per the guidelines lets progressive disclosure score 3 without bundle files.

3 / 3

Total

12

/

12

Passed

Description

72%

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 concise and names a distinct, natural-language niche with good trigger terms, but it omits an explicit "Use when..." trigger clause and does not enumerate concrete actions, capping completeness and specificity at 2.

Suggestions

Add an explicit 'Use when...' clause, e.g. 'Use before merging a PR or when the user asks for a pre-merge review checklist', to lift completeness to 3.

Name one or two concrete actions (e.g. 'verifies transactions, redaction, and trait-wrapper coverage before merge') to raise specificity from 2 to 3.

DimensionReasoningScore

Specificity

The description names a clear domain ("Pre-merge review checklist") and provenance ("recurring AI reviewer feedback patterns") but lists no concrete actions or verbs, falling short of the multi-action score-3 anchor.

2 / 3

Completeness

It clearly states what the skill provides (a review checklist) but lacks any "Use when..." clause or equivalent explicit trigger guidance, so per the guidelines completeness is capped at 2.

2 / 3

Trigger Term Quality

It includes natural terms a user would actually say ("review", "merge", "pre-merge", "checklist") with good coverage of common variations, matching the score-3 anchor rather than the partial-coverage score-2 anchor.

3 / 3

Distinctiveness Conflict Risk

The niche of a pre-merge review checklist tied to AI reviewer feedback patterns is specific and unlikely to trigger for unrelated skills, matching the clear-niche score-3 anchor rather than the overlap-prone score-2 anchor.

3 / 3

Total

10

/

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
nearai/ironclaw
Reviewed

Table of Contents

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