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pr-review-analysis

Analyze PR review comments from a GitHub PR URL. Fetch review comments, verify each finding against the actual codebase, assess validity (correct/incorrect/partial), present a structured summary with recommended actions, and optionally reply to each comment on GitHub. Use when given a PR review URL or when asked to check/analyze PR feedback.

75

Quality

93%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

93%Weight 40%Scale 1-5

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, a concrete report template, and a clear five-step workflow with an approval gate before posting replies. The only gap is the lack of an explicit validate-then-retry feedback loop in the verification step.

Suggestions

Add an explicit feedback loop in Step 2: after re-reading code that was changed following a finding, re-verify the claim before finalizing the verdict.

Strengthen the Step 5 reply gate by labeling it as a hard validation checkpoint (e.g. 'Do not post any reply until the user explicitly approves') to reinforce the destructive-action boundary.

Specify how severity is determined a bit more concretely (label vs content rules) since Step 4's Severity column depends on it and the Notes only say it is 'estimated'.

DimensionReasoningScore

Conciseness

Lean and efficient throughout: short step descriptions, only the gh api commands and report template that Claude would not already know, with no padding or explanation of basic concepts.

5 / 5

Actionability

Fully executable: concrete `gh api` commands for fetch and reply (with -f/-F flags and in_reply_to), plus a copy-paste-ready report template covering the common output cases.

5 / 5

Workflow Clarity

A clear five-step sequence with an explicit user-confirmation checkpoint before the destructive reply action, but verification (Step 2) lacks a feedback loop (re-check after fix) and the user-approval gate is not framed as a hard validation checkpoint.

4 / 5

Progressive Disclosure

Well-organized single-file skill with clear section headers per step and a template block; no bundle files exist so there is nothing to offload, and the structure is easy to navigate.

5 / 5

Total

19

/

20

Passed

Description

92%Weight 40%Scale 1-5

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: concise, specific, third-person, and explicitly covering both what the skill does and when to use it. Trigger phrases are natural and tied to a clear niche, with only minor synonym coverage gaps.

DimensionReasoningScore

Specificity

Names the niche (PR review comments) and lists five concrete actions: fetch comments, verify each finding against the codebase, assess validity, present a structured summary, and optionally reply to each comment on GitHub.

5 / 5

Completeness

Explicitly answers both what (fetch/verify/assess/present/reply) and when ('Use when given a PR review URL or when asked to check/analyze PR feedback').

5 / 5

Trigger Term Quality

Strong natural triggers ('PR review URL', 'check/analyze PR feedback') but missing a few common synonyms users might say (e.g. 'reviewer comments', 'address review', 'respond to review comments').

4 / 5

Distinctiveness Conflict Risk

Niche is clearly PR-review-comment analysis with GitHub reply integration; the URL-based trigger is distinctive and unlikely to fire for unrelated skills.

5 / 5

Total

19

/

20

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
breaking-brake/cc-wf-studio
Reviewed

Table of Contents

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