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code-review

Use when receiving code review feedback (especially if unclear or technically questionable), when completing tasks or major features requiring review before proceeding, or before making any completion/success claims. Covers three practices - receiving feedback with technical rigor over performative agreement, requesting reviews via code-reviewer subagent, and verification gates requiring evidence before any status claims. Essential for subagent-driven development, pull requests, and preventing false completion claims.

80

Quality

100%

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

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.

A well-structured instruction skill: concise, actionable, with clear sequenced workflows and validation gates, and a clean one-level-deep progressive disclosure to real reference files.

DimensionReasoningScore

Conciseness

The body is lean and bullet-driven, assumes Claude's competence, and avoids explaining concepts Claude already knows; the mild restatement in "Bottom Line" serves emphasis rather than padding.

3 / 3

Actionability

Provides concrete executable guidance — e.g. `BASE_SHA=$(git rev-parse HEAD~1)`, dispatching the code-reviewer subagent with named fields, and the IDENTIFY→RUN→READ→VERIFY→THEN gate — rather than vague direction.

3 / 3

Workflow Clarity

Multi-step processes are explicitly sequenced with validation checkpoints and feedback loops: the READ→UNDERSTAND→VERIFY→EVALUATE→RESPOND→IMPLEMENT pattern and the verification gate with "Skip any step = lying" enforce recovery checkpoints.

3 / 3

Progressive Disclosure

The body is a clear overview pointing to three real, one-level-deep reference files (code-review-reception.md, requesting-code-review.md, verification-before-completion.md), each clearly signaled with "Reference:"/"Full protocol:" labels, with details appropriately split out.

3 / 3

Total

12

/

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.

A strong description that clearly states what the skill does and when to invoke it, with concrete practices and natural trigger terms. It uses standard third-person trigger voice and is well-distinguished from other skills.

DimensionReasoningScore

Specificity

Lists three concrete practices with specific mechanisms — "requesting reviews via code-reviewer subagent", "verification gates requiring evidence before any status claims", "receiving feedback with technical rigor over performative agreement" — which are concrete actions for a process skill, not vague language.

3 / 3

Completeness

Explicitly answers what ("Covers three practices...") and when ("Use when receiving code review feedback... when completing tasks... before making any completion/success claims") with explicit triggers, satisfying both halves.

3 / 3

Trigger Term Quality

Covers natural terms a user would say — "code review feedback", "completing tasks or major features", "pull requests", "completion/success claims", "subagent-driven development" — giving good coverage of common phrasings.

3 / 3

Distinctiveness Conflict Risk

The niche is clear and unlikely to trigger the wrong skill — triggers are anchored to code review, the code-reviewer subagent, and verification gates rather than generic terms.

3 / 3

Total

12

/

12

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
mrgoonie/claudekit-skills
Reviewed

Table of Contents

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