
Pull Request Review
FreeStreamline your PR review process with precision.
Free · Opens the source repo
What Pull Request Review does
The Pull Request Review skill is designed to assist developers in evaluating open pull requests within the saadeghi/daisyui repository on GitHub. By leveraging the GitHub MCP server, this skill ensures a rigorous and isolated verification process for each pull request. It focuses on the actual code changes rather than the PR description, allowing users to assess the impact of modifications accurately. This skill is particularly useful for developers who need to ensure that proposed changes meet the necessary quality and functionality standards before merging them into the main codebase.
When using this skill, the process begins with either selecting a specific pull request or reviewing all open pull requests in the repository. The skill provides a structured approach to gathering essential information, including the PR URL, base and head SHAs, and the current state of checks. It emphasizes the importance of fact-checking by requiring users to inspect the code, run relevant tests, and compile reports based on concrete evidence from GitHub and the code itself. This approach minimizes the risk of merging faulty code and enhances the overall integrity of the development process.
The skill is particularly beneficial for teams that prioritize code quality and need to maintain a high level of confidence when merging changes. By adhering to strict guidelines, such as only using read operations and avoiding any modifications to the repository state, the Pull Request Review skill helps developers maintain a clear and reliable review process. It is an essential tool for ensuring that all changes are thoroughly vetted and that any potential risks are identified and documented before integration.
In summary, the Pull Request Review skill is an invaluable resource for developers looking to enhance their review process. It provides a systematic way to evaluate pull requests, ensuring that all changes are justified, tested, and safe to merge, thereby fostering a more reliable and efficient development workflow.
When to use it
Use this skill when you need to review one or more open pull requests in the saadeghi/daisyui repository to ensure code quality and functionality.
When not to use it
This skill is not suitable for situations where you need to make changes to the repository or when working with pull requests outside the saadeghi/daisyui repository.
What you can build with it
Reviewing Multiple PRs
Use the skill to systematically review all open pull requests in the saadeghi/daisyui repository, ensuring each is thoroughly vetted.
Fact-Checking Changes
When a developer claims a fix in a PR, use this skill to verify that the change addresses the reported issue accurately.
Documenting Review Findings
Generate concise reports for each PR reviewed, providing clear documentation of the review process and any concerns identified.
How to install Pull Request Review
View source1. Install with the skills CLI
npx skills add saadeghi/daisyui/pr-review --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by saadeghiReview daisyUI pull requests
Review the code, not the PR pitch. Investigate the changed behavior, run the relevant checks, and write a short decision-ready report.
Read references/report.md before writing a report.
Hard rules
- Use the GitHub MCP server for PRs, issues, comments, reviews, commits, changed files, and checks.
- Use GitHub read operations only. Never comment, review, label, close, update, or merge anything.
- Treat the current repository as read-only except for tmp/pr/pr-<number>.md.
- Do not change Git state, branches, dependencies, lockfiles, product code, tests, or generated files.
- Never read secrets, credentials, private keys, or .env files.
- Inspect PR code before executing it. Run it only in an isolated OS-temporary copy with no credentials.
- Use exact base and head SHAs. Never test the current working tree as a substitute.
- Report only facts from direct GitHub sources, inspected source at a named SHA, official documentation, or commands actually run with observed output.
- Attribute PR-author statements as claims until code or execution verifies them.
- Do not invent intent, expected behavior, affected users, risks, test results, or reasons to lower confidence.
- Do not treat the lack of a linked issue, assignment, new test, or PR description detail as a product defect.
- Do not require unrelated tools or tests. Use the smallest verification that proves the changed behavior, then run the relevant package checks.
- Do not lower confidence because unknown future bugs are theoretically possible.
Select the PRs
If the user names a PR, review that open PR. Otherwise:
- Call the GitHub MCP identity or readiness method if required.
- List every open PR in saadeghi/daisyui, following pagination.
- Review each PR independently.
- Write one report per PR at tmp/pr/pr-<number>.md.
Record the PR URL, base SHA, head SHA, changed files, current merge state, and current checks.
Problem
Determine what the PR is trying to change from:
- linked issue bodies and discussions;
- the PR description and comments;
- the actual diff and the behavior of the base revision.
Read every explicitly linked issue. Verify its reported behavior against the current base when practical.
A linked issue is not required. If there is no issue, state that fact briefly and derive the testable problem from the PR claim and changed behavior. Never fail a technically valid PR merely because no issue was filed.
Establish expected behavior from the repository, an existing public contract, a reproduced user-visible behavior, or official documentation. Do not use the author's wording alone as proof.
Verify
Inspect first
Read all changed files and their direct consumers. Identify the smallest public behavior affected by each change. Check for unrelated edits, unsafe code, dependency changes, weakened tests, API changes, and generated-file mismatches.
Test base versus PR
Materialize clean source copies for the exact base and head SHAs in an OS-temporary directory without Git metadata. Use the same environment and inputs for both.
Run a focused independent check that answers:
- Does the problem exist on the base?
- Does the PR change that behavior as claimed?
- Does the previous valid behavior still work?
- Do relevant existing tests and builds pass?
Use the most direct proof available:
- For deterministic CSS or generated output, inspect the exact declarations and compile a focused fixture. Use a browser only when browser-computed behavior is genuinely needed to decide the result.
- For JavaScript or build behavior, run the smallest reproduction and the affected package tests.
- For docs behavior, verify the relevant build, route, rendering, or interaction.
- For public APIs, exercise the old supported usage and the new behavior.
Run broader tests only when the changed surface reaches them. Green CI supports the result but does not replace the focused check. PR-added tests may be used, but do not rely on them as the only proof.
A separate test-merge candidate is required only when the base moved after the PR head, GitHub reports a conflict or uncertain merge state, or the change interacts with recent base changes. Do not create a blocker from an unavailable test-merge SHA when exact base and head testing already proves an isolated change.
If a required check cannot run, first decide whether another direct check proves the same behavior. Record it as a concern only when the missing check is necessary to resolve a concrete question about the changed code.
Risks
Look for concrete ways the changed lines could affect existing supported usage. Trace each scenario from:
changed code → real consumer or public contract → failure condition.
Test each scenario when practical. Report only scenarios with that trace. Never list generic possibilities that could apply to any PR.
Use these likelihood labels:
- Confirmed: the failure was reproduced.
- Possible: a real supported path and failure mechanism were identified, but the relevant check could not resolve it.
- Ruled out: the targeted check passed.
For every row, name the source path or contract, the exact check, its result, and why the likelihood label follows. A Ruled out scenario is evidence of safety, not a concern. If no Confirmed or Possible scenario remains, say that no concern was found in the affected scope.
Compare
Show the developer-visible behavior before and after. Prefer a small code block using actual markup, API usage, configuration, or generated output. If the change is internal, explain the observable effect instead.
Do not fabricate an example. Derive it from the diff, linked issue, documentation, or the reproduction used during verification.
Result
Give a direct verdict:
- Safe to merge: YES when the stated problem is verified, the PR fixes it, relevant checks pass, and no Confirmed or Possible concern remains. Confidence must be 100%.
- Safe to merge: NO when a specific concern remains. Every reason must name the observed failure or unresolved concrete scenario.
Use only these confidence values so the report cannot manufacture numerical precision:
- 100%: the relevant verification passed and no concern remains.
- 50%: no failure was reproduced, but at least one Possible concern remains unresolved.
- 0%: a Confirmed concern exists, the claimed fix failed, or a relevant regression was reproduced.
Use the lowest applicable value. These are verdict labels, not calculated probabilities. Do not use weighted categories, point deductions, caps, decision gates, or formulas. Do not subtract confidence for missing bureaucracy, irrelevant coverage, or unknowable future behavior.
When confidence is below 100%, explain exactly what is wrong and what check or change would resolve it. When no concern is found after relevant verification, return 100% and safe to merge.
Write the report
Use references/report.md and keep the report concise. Include only:
- Problem
- Verify
- Risks
- Compare
- Result
Cite facts inline with direct GitHub URLs, immutable SHAs and repository paths, official documentation URLs, or exact commands and observed results. Do not add an evidence ledger, scoring table, gate matrix, policy audit, exhaustive file inventory, or speculative caveats.
Re-fetch the PR after testing. If the head changed, rerun the affected verification before writing the verdict. Update tmp/pr/pr-<number>.md rather than creating duplicate reports.
In the final handoff, list the reports written and state that no GitHub action, product-code change, dependency change, or Git operation was performed.
Frequently asked questions about Pull Request Review
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