
GitHub Deep Review
FreeConduct thorough code reviews with confidence and clarity.
Free · Opens the source repo
What GitHub Deep Review does
GitHub Deep Review is a specialized skill designed for developers who need to conduct in-depth reviews of issues and pull requests on GitHub. This skill emphasizes a high-confidence, evidence-first approach, allowing users to understand the nuances of bugs and their fixes. By utilizing the GitHub CLI, users can efficiently gather necessary information about issues and pull requests without the need for web browsing. The skill guides users through a structured review process that includes identifying root causes, assessing proposed fixes, and determining whether larger refactoring is warranted.
The review process is systematic and thorough, focusing on the actual code and its context rather than relying solely on comments or historical data. Users are encouraged to read beyond the first touched file, following the call paths through the codebase to uncover the true nature of the problem. This depth of analysis ensures that the reviews are not only accurate but also actionable, providing clear recommendations for fixes and improvements.
GitHub Deep Review is particularly useful for teams that prioritize code quality and maintainability. It equips developers with the tools to not only identify issues but also to understand their implications within the broader context of the codebase. This skill is ideal for those who are responsible for maintaining or reviewing code, as it fosters a culture of thoroughness and accountability in software development.
In summary, GitHub Deep Review is a powerful tool for developers looking to enhance their code review processes. By leveraging this skill, teams can improve their ability to identify and address issues effectively, leading to more robust and maintainable codebases.
When to use it
Use GitHub Deep Review when you need to conduct thorough reviews of issues and pull requests on GitHub, especially when understanding the root cause is critical.
When not to use it
This skill may not be suitable for quick, superficial reviews or when a high-level overview is sufficient without delving into code details.
What you can build with it
In-Depth Bug Analysis
When encountering a complex bug, use this skill to trace its origins and determine the best fix by analyzing the relevant code.
Thorough PR Reviews
Utilize GitHub Deep Review to ensure that pull requests are thoroughly vetted for correctness and maintainability before merging.
Identifying Refactoring Opportunities
Use this skill to assess whether a larger refactor could improve the codebase's design and maintainability during reviews.
How to install GitHub Deep Review
View source1. Install with the skills CLI
npx skills add steipete/agent-scripts/github-deep-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 steipeteGitHub Deep Review
Review like Peter: high-confidence, evidence-first, code-aware, and willing to say "not proven" when the trail is weak. The goal is not a generic summary. The goal is to understand the bug class, find the real cause if possible, decide the best fix after reading enough code, and call out whether a larger refactor would improve the design.
Start
Use gh, not web browsing, for GitHub refs:
gh issue view <n> --json number,title,state,author,body,comments,labels,updatedAt,url
gh pr view <n> --json number,title,state,author,body,comments,reviews,files,commits,statusCheckRollup,mergeStateStatus,headRefName,headRepositoryOwner,url
gh pr diff <n> --patch
For PRs, collect author context by default unless the author is Peter (steipete or an obvious Peter-owned account). Use the local workflow in ~/Projects/agent-scripts/skills/github-author-context/SKILL.md and include a short Author context: block near the top of the review when the author is not Peter.
After merge/rejection/close/review, use that same author-context workflow to append a contributor note only when the interaction creates durable future-review signal.
For repo-local review, also inspect:
git status --short --branch
git fetch origin
git log --oneline --decorate -20
rg "<key symbol/error/config/endpoint>"
If the repo has local instructions, issue/PR skills, docs lists, test guidance, or maintainer runbooks, read those before deciding.
Review Contract
Always answer these, explicitly:
- URL/ref: issue or PR number and affected surface.
- What is the bug or behavior being fixed?
- Can we identify the root cause? If yes, where in code and why. If no, what evidence is missing.
- For regressions, who/what introduced it and when? Include commit/PR provenance when traceable by bounded history; say unknown instead of guessing.
- Is the current/proposed fix the best possible fix after reading adjacent code?
- Would a bigger refactor improve correctness, clarity, or future maintainability?
- What proof exists: tests, live repro, CI checks, docs, dependency docs/source, shipped/current behavior.
- What remains risky or unverified.
Code Reading Depth
Read past the first touched file. Follow the real call path:
- entrypoint -> validation/parsing -> routing/dispatch -> owner module -> shared helper -> persistence/network/runtime boundary
- config/schema/docs -> runtime usage -> doctor/migration/fix path
- provider/channel/plugin owner code -> generic core seam, only if multiple owners need it
- tests around the touched surface plus adjacent regression tests
When behavior depends on a dependency, read the upstream docs/source/types or current package contract before assuming.
Prefer current source and executable proof over issue comments. Treat stale comments, old CI, and old release behavior as hints until rechecked.
Provenance
For bug/regression reviews, include a compact Provenance: answer when feasible:
- Use
git log -S/-G,git blame, linked PRs/issues, and tests. - Separate commit author, merger, and current PR author when they differ.
- Phrase as
introduced by,made visible by, orcarried forward by. - Include confidence:
clear,likely, orunknown. - For features, docs, refactors, or untraceable bugs, write
N/Aor say what evidence is missing.
Fix Quality Bar
Good fixes usually:
- live at the ownership boundary where the bug belongs
- preserve public/backward-compatible behavior unless the issue is about retiring it
- add a regression test at the smallest meaningful seam
- avoid broad special cases, hidden migrations, semantic sentinels, and provider/channel IDs in generic core
- update docs/changelog when user-visible behavior changes
- fail clearly in runtime paths and repair through doctor/migration paths when that is the established contract
Call out when a fix is only symptom-level. If a slightly larger refactor makes the invariant obvious and reduces future bugs, recommend it. If the refactor widens risk without improving the bug class, say so.
PR Review Shape
Lead with findings when reviewing a PR. Findings need file/line/symbol references and a concrete failure mode. Avoid vague "consider" comments.
If no blocking issues:
- say no blocking correctness issues found
- list the strongest proof checked
- name residual risk/test gaps
- answer whether the design is the best available shape
Do not approve, comment, close, merge, push, or land unless the user asked for that action.
Issue Review Shape
For bugs/issues:
- Reconstruct the reporter's scenario and affected version/surface.
- Check whether current
mainalready fixes it. - Reproduce or create a minimal local/live proof when feasible.
- If clear, identify root cause and proposed fix.
- If solved on
main, only comment/close when the user asks; include proof and the canonical commit/PR if known.
If reproduction is not feasible, say exactly what blocks it and what evidence would make the decision reliable.
Output Template
Use this shape when the user asks "what is this about", "is this the best fix", or "what did we fix":
Ref: #123 / PR #456
Surface: <runtime/CLI/provider/channel/docs>
Bug: <one or two sentences>
Cause: <code path + confidence>
Provenance: <introduced/made visible/carried forward by commit/PR/date, or N/A/unknown>
Best fix: <what should change and why>
Refactor: <yes/no, specific shape>
Proof: <tests/live/CI/source/dependency docs>
Risk: <remaining uncertainty>
Keep it concise, but do not skip the cause/fix/refactor/proof decision.
Frequently asked questions about GitHub Deep Review
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