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code-review

Reviews code changes using CodeRabbit AI. Use when user asks for code review, PR feedback, code quality checks, security issues, or requests fix-review cycles.

76

Quality

95%

Does it follow best practices?

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SecuritybySnyk

Critical

Do not install without reviewing

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 tight, highly actionable skill body: executable commands throughout, a prerequisite workflow with real validation feedback loops, and clean section organization with no unnecessary concept explanation or external reference churn.

DimensionReasoningScore

Conciseness

The body is lean and command-centric with no explanations of concepts Claude already knows; the silence guidance is reinforced across the intro and Output Handling but each statement contributes a distinct facet (general principle vs. the 10-minute timeout window), so it is not level-2 padding.

3 / 3

Actionability

It provides fully executable, copy-paste-ready commands (version check, install script, auth status/login, review invocations and scoped variants) plus concrete output-parsing rules, matching the level-3 anchor.

3 / 3

Workflow Clarity

Prerequisites form a clearly sequenced flow with explicit validation checkpoints and feedback loops (install then re-run --version; login then re-run auth status, only continue after success), matching the level-3 validate-fix-retry pattern.

3 / 3

Progressive Disclosure

No bundle files exist and none are needed; the skill is a single self-contained file organized into well-signaled sections (Prerequisites, Review Commands, Output Handling, Result Format, Guardrails), so it is well-organized without nested references.

3 / 3

Total

12

/

12

Passed

Description

90%

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 concise, third-person description that cleanly answers what and when with natural trigger terms and a distinct CodeRabbit-specific niche. Its only gap is that it lists a single concrete action rather than enumerating multiple capabilities.

DimensionReasoningScore

Specificity

It names the domain and one concrete action ("Reviews code changes using CodeRabbit AI") but does not list multiple specific actions, matching the 'names domain and some actions, but not comprehensive' anchor rather than the multiple-actions level 3.

2 / 3

Completeness

It clearly answers both what ("Reviews code changes using CodeRabbit AI") and when via an explicit "Use when..." clause, matching the level-3 anchor with explicit triggers.

3 / 3

Trigger Term Quality

Triggers ("code review, PR feedback, code quality checks, security issues, fix-review cycles") are natural phrases a user would actually say, giving good coverage of common variations.

3 / 3

Distinctiveness Conflict Risk

Naming the CodeRabbit AI tool carves a clear niche with distinct, tool-specific triggers unlikely to fire for unrelated skills.

3 / 3

Total

11

/

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
openai/plugins
Reviewed

Table of Contents

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