
github-deep-review
GitHub deep review: bugs, PRs, best fix, stale-or-real, read code first.
- Installs
- 187
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/steipete/agent-scripts --skill github-deep-review- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads github-deep-review automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
GitHub 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, and linked PRs/issues to locate candidates, not prove introduction. Before sayingintroduced by, inspect raw parents withgit --no-replace-objects cat-file -p <sha>and verify thatgit --no-replace-objects diff --no-ext-diff --no-textconv <raw-parent> <sha> -- <path>changed the implicated behavior, using tests/repro when feasible. A genuine root needs raw-header proof that it has no parents. - Blame
^sha, porcelainboundary, and shallow/grafted history alone are not introduction proof.--rootcan hide boundary markers;git showandrev-list --parentscan disguise a shallow boundary as a root. An available raw parent permits explicit comparison even at a shallow boundary; missing parents or an unverifiable patch requireunknownwith the gap, not inference from a subject, date, or author. - Separate code author, introducing PR author, merger, committer, automation trigger, and current PR author. Verify identities and triggers from explicit metadata/events; a role is not proof of causation, and an unverified identity stays unknown.
- Use
made visible byonly for a verified trigger andcarried forward byonly for verified preexisting behavior. Apply the same evidence bar to summaries and owner hints, not just aProvenance:field. Include confidence:clear,likely, orunknown. - For features, docs, and refactors, write
N/A; for untraceable bugs, reportunknownwith the missing evidence. Missing provenance does not invalidate an independently proven bug.
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.
FAQ
What does the github-deep-review skill do?
GitHub deep review: bugs, PRs, best fix, stale-or-real, read code first.
How do I install github-deep-review?
Run npx skills add https://github.com/steipete/agent-scripts --skill github-deep-review in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/github-deep-review/ (personal) or .claude/skills/github-deep-review/ (project).
Which AI agents can use github-deep-review?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is github-deep-review safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains github-deep-review?
It is published by steipete in steipete/agent-scripts. It has 187 recorded installs.
More from steipete/agent-scripts
video-transcript-downloader
steipete/agent-scripts
yt-dlp downloads: video, audio, subtitles, transcripts, clips, playlists.
brave-search
steipete/agent-scripts
Web search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content. Lightweight, no browser required.
skill-cleaner
steipete/agent-scripts
Codex/OpenClaw skill audit: live budget, usage, duplicates, compact descriptions.
create-cli
steipete/agent-scripts
CLI UX/spec: args, flags, help, output, errors, config, dry-run.
markdown-converter
steipete/agent-scripts
Markdown conversion: PDF, Office, HTML, data, OCR, audio, ZIP, YouTube.
Popular code quality & workflow skills
grill-me
mattpocock/skills
A relentless interview to sharpen a plan or design.
improve-codebase-architecture
mattpocock/skills
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
handoff
mattpocock/skills
Compact the current conversation into a handoff document for another agent to pick up.
domain-modeling
mattpocock/skills
Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a GLOSSARY.md, or recording or editing an ADR.
codebase-design
mattpocock/skills
Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
diagnosing-bugs
mattpocock/skills
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.