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frontend-code-review

Use when asked to review a MR/PR on GitHub or GitLab. Checks for XSS vulnerabilities, validates ARIA attributes and WCAG compliance, identifies render-blocking issues and race conditions, enforces semantic HTML. Produces actionable feedback.

74

Quality

93%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

85%Scale 1-3

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

This is a well-crafted, production-ready skill for frontend code review. Its strengths include excellent workflow clarity with explicit validation gates, comprehensive reference loading tables, and highly actionable guidance with specific MCP commands. The main weakness is moderate verbosity—some concepts are repeated across sections and could be consolidated for better token efficiency.

DimensionReasoningScore

Conciseness

The skill is comprehensive but includes some redundancy (e.g., repeated explanations of 'Source of truth' concepts, verbose workflow descriptions). Some sections could be tightened, though it avoids explaining basic concepts Claude already knows.

2 / 3

Actionability

Highly actionable with specific MCP commands (get_merge_request, get_merge_request_diffs), concrete file patterns for reference loading, explicit checklist items, and a copy-paste ready output template. The workflow steps are precise and executable.

3 / 3

Workflow Clarity

Excellent multi-step workflow with clear sequencing (Quick start 1-10), explicit validation checkpoints (access check first, verify diffs are complete, Phase 1-2-3 flow), and feedback loops (verify before posting, user approval gates). The review checklist provides clear progress tracking.

3 / 3

Progressive Disclosure

Well-structured with clear overview, reference index table mapping files to purposes, and one-level-deep references to 14 specialized reference files. The mapping tables clearly signal when to load which references based on file types and content.

3 / 3

Total

11

/

12

Passed

Description

100%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a well-crafted skill description that excels across all dimensions. It opens with a clear 'Use when' clause specifying the trigger context (MR/PR review on GitHub/GitLab), lists specific technical capabilities, and carves out a distinct niche focused on frontend security and accessibility concerns. The description is concise yet comprehensive.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'Checks for XSS vulnerabilities, validates ARIA attributes and WCAG compliance, identifies render-blocking issues and race conditions, enforces semantic HTML.' These are clear, actionable capabilities.

3 / 3

Completeness

Clearly answers both what (checks XSS, validates ARIA/WCAG, identifies render-blocking issues, enforces semantic HTML, produces actionable feedback) AND when ('Use when asked to review a MR/PR on GitHub or GitLab') with explicit trigger guidance.

3 / 3

Trigger Term Quality

Includes natural keywords users would say: 'review', 'MR/PR', 'GitHub', 'GitLab', plus domain-specific but recognizable terms like 'XSS', 'ARIA', 'WCAG'. Covers both platform names and review terminology.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive niche combining code review (MR/PR) with specific frontend concerns (XSS, ARIA, WCAG, semantic HTML). Unlikely to conflict with generic code review skills due to the specialized security and accessibility focus.

3 / 3

Total

12

/

12

Passed

Validation

90%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
yoriiis/ai-skills
Reviewed

Table of Contents

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