code-review
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
Skill by hasegama
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/hasegama-code-review
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions: not checked yet.
What's inside
- Skill name
code-review- Description
- Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".
- License
- MIT
- Instructions
- 84 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
Two-axis review of the diff between `HEAD` and a fixed point the user supplies:
- **Standards**: does the code conform to this repo's documented coding standards?
- **Spec**: does the code faithfully implement the originating issue / spec?
Both axes run as **parallel sub-agents** so they don't pollute each other's context, then this skill aggregates their findings.
The issue tracker should have been provided to you. If `docs/agents/issue-tracker.md` is missing, tell the user to run `/setup-matt-pocock-skills`.
## Process
### 1. Pin the fixed point
Whatever the user said is the fixed point (a commit SHA, branch name, tag, `main`, `HEAD~5`, etc.). If they didn't specify one, ask for it.
Capture the diff command once: `git diff <fixed-point>...HEAD` (three-dot, so the comparison is against the merge-base). Also note the list of commits via `git log <fixed-point>..HEAD --oneline`.
Before going further, confirm the fixed point resolves (`git rev-parse <fixed-point>`) and the diff is non-empty. A bad ref or empty diff should fail here, not inside two parallel sub-agents.
### 2. Identify the spec source
Look for the originating spec, in this order:
1. Issue references in the commit messages (`#123`, `Closes #45`, GitLab `!67`, etc.), fetched via the workflow in `docs/agents/issue-tracker.md`.
2. A path the user passed as an argument.
3. A spec file under `docs/`, `specs/`, or `.scratch/` matching the branch name or feature.
4. If nothing is found, ask the user where the spec is. If they say there isn't one, the **Spec** sub-agent will skip and report "no spec available".
### 3. Identify the standards sources
Anything in the repo that documents how code should be written, such as `CODING_STANDARDS.md` or `CONTRIBUTING.md`.
On top of whatever the repo documents, the Standards axis always carries the **smell baseline** below: a fixed set of Fowler code smells (_Refactoring_, ch.3) that applies even when a repo documents nothing. Two rules bind it:
- **The repo overrides.** A documented repo standard always wins; where it endorses something the baseline would flag, suppress the smell.
- **Always a judgement call.** Each smell is a labelled heuristic ("possible Feature Envy"), never a hard violation. Like any standard here, skip anything tooling already enforces.
Each smell reads *what it is* → *how to fix*; match it against the diff:
- **Mysterious Name**: a function, variable, or type whose name doesn't reveal what it does or holds. → rename it; if no honest name comes, the design's murky.
- **Duplicated Code**: the same logic shape appears in more than one hunk or file in the change. → extract the shared shape, call it from both.
- **Feature Envy**: a method that reaches into another object's data more than its own. → move the method onto the data it envies.
- **Data Clumps**: the same few fields or params keep travelling together (a type wanting to be born). → bundle them into one type, pass that.
- **Primitive Obsession**: a primitive or string standing in for a domain concept that deserves its own type. → give the concept its own small type.
- **Repeated Switches**: the same `switch`/`if`-cascade on the same type recurs across the change. → replace with polymorphism, or one map both sites share.
- **Shotgun Surgery**: one logical change forces scattered edits across many files in the diff. → gather what changes together into one module.
- **Divergent Change**: one file or module is edited for several unrelated reasons. → split so each module changes for one reason.
- **Speculative Generality**: abstraction, parameters, or hooks added for needs the spec doesn't have. → delete it; inline back until a real need shows.
- **Message Chains**: long `a.b().c().d()` navigation the caller shouldn't depend on. → hide the walk behind one method on the first object.
- **Middle Man**: a class or function that mostly just delegates onward. → cut it, call the real target direct.
- **Refused Bequest**: a subclass or implementer that ignores or overrides most of what it inherits. → drop the inheritance, use composition.
### 4. Spawn both sub-agents in parallel
**Standards sub-agent prompt** should include:
- The full diff command and commit list.
- The list of standards-source files you found in step 3, **plus the smell baseline from step 3** pasted in full (the sub-agent has no other access to it).
- The brief: "Report, per file/hunk where relevant, (a) every place the diff violates a documented standard: cite the standard (file + the rule); and (b) any baseline smell you spot: name it and quote the hunk. Distinguish hard violations from judgement calls: documented-standard breaches can be hard, but baseline smells are always judgement calls, and a documented repo standard overrides the baseline. Skip anything tooling enforces. Under 400 words."
**Spec sub-agent prompt** should include:
- The diff command and commit list.
- The path or fetched contents of the spec.
- The brief: "Report: (a) requirements the spec asked for that are missing or partial; (b) behaviour in the diff that wasn't asked for (scope creep); (c) requirements that look implemented but where the implementation looks wrong. Quote the spec line for each finding. Under 400 words."
If the spec is missing, skip the Spec sub-agent and note this in the final report.
### 5. Aggregate
Present the two reports under `## Standards` and `## Spec` headings, verbatim or lightly cleaned. Do **not** merge or rerank findings, because the two axes are deliberately separate (see _Why two axes_).
End with a one-line summary: total findings per axis, and the worst issue _within each axis_ (if any). Don't pick a single winner across axes: that's the reranking the separation exists to prevent.
## Why two axes
A change can pass one axis and fail the other:
- Code that follows every standard but implements the wrong thing → **Standards pass, Spec fail.**
- Code that does exactly what the issue asked but breaks the project's conventions → **Spec pass, Standards fail.**
Reporting them separately stops one axis from masking the other.From hasegama/pstack-agents, MIT.
More from hasegama/pstack-agents
- 0.570score
explainer
hasegama
特定の読み手に向けて、概念・PR・設計を「冗長にならない水準」の速習資料として説明し、図と主張を道具で検証する。読み手のペルソナ(既に知っていること・知らないこと・読み方)を質問と公開情報から作り、その差分だけを書く。図は vlmkit-anim…
SkillAFreshness: AClaude Code +9 - 0.566score
explainer-book
hasegama
1 本の速習資料では収まらない、章立ての学習資料(topic-book/01-quickstart.md, 02-….md …)を、読み手のペルソナに合わせて設計・執筆・検証する。章ごとの学習目標と理解度チェックの対応、概念を導入より前に使わない順序、章の読了時間の予算、「未完成なら落ち、答えなら通る」演習、book…
SkillAFreshness: AClaude Code +9 - 0.565score
explanatory-animation
hasegama
Explain an algorithm, protocol, data structure, state machine, or architecture as a checked animation or still figure with `vlmkit-anim` — one JSON scene (a…
SkillAFreshness: AClaude Code +9 - 0.565score
d2-diagram
hasegama
Draw a software architecture, system, data-model or call-flow diagram as D2 text laid out by TALA (D2's whiteboard-style engine, open source since D2 0.9)…
SkillAFreshness: AClaude Code +9 - 0.565score
explain-with-anim
hasegama
Answer "how does this work / how is this structured / what does this change" with a drawn figure and a narration that follows it — a module map from the…
SkillAFreshness: AClaude Code +9 - 0.560score
d2-slides
hasegama
Build a slide deck whose source is text and whose figures are laid out by TALA — one Markdown file with a ```d2 fence per figure, compiled to a self-contained…
SkillAFreshness: AClaude Code +9 - 0.544score
diagnosing-bugs
hasegama
Diagnosis loop for hard bugs and performance regressions.
SkillAFreshness: AClaude Code +9 - 0.539score
domain-modeling
hasegama
Build and sharpen a project's domain model.
SkillAFreshness: AClaude Code +9 - 0.533score
ask-matt
hasegama
Ask which skill or flow fits your situation.
SkillAFreshness: AClaude Code +9 - 0.528score
architect
hasegama
型・関数シグネチャ・モジュール構成を設計し、独立した複数案を比較してから実装する。/architect や、構造の判断を伴う実装に使う。
SkillAFreshness: AClaude Code +9 - 0.528score
blast-radius
hasegama
変更が差分の外に及ぼす影響を調べ、成立条件を実コードの実行で確認する。影響範囲や小さな差分の安全性をレビューするときに使う。
SkillAFreshness: AClaude Code +9 - 0.528score
create-verification-skill
hasegama
アプリを利用者と同じ経路で検証するプロジェクト用スキルと機能マップを作る。/create-verification-skill や、検証手順をスキルにしたい依頼に使う。
SkillAFreshness: AClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 5, 2026 (23 days ago)
- Last release
- Oct 5, 2026 (23 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/hasegama/pstack-agents
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
- 0.681score
code-review
moeru-ai
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
SkillAFreshness: A★ 664Claude Code +9 - 0.363score
code-review
chinkan
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
SkillAFreshness: A★ 10Claude Code +9 - 0.360score
code-review
Sarthib7
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
SkillAFreshness: A★ 10Claude Code +9 - 0.344score
code-review
LatentDream
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
SkillAFreshness: A★ 3Claude Code +9 - 0.337score
code-review
danievanzyl
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
SkillAFreshness: A★ 1Claude Code +9 - 0.334score
code-review
SeriousJul
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
SkillAFreshness: A★ 1Claude Code +9 - 0.334score
code-review
jemdiggity
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
SkillAFreshness: A★ 1Claude Code +9 - 0.334score
code-review
cloudofgeorge
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
SkillAFreshness: A★ 1Claude Code +9 - 0.334score
code-review
fveracoechea
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
SkillAFreshness: A★ 1Claude Code +9 - 0.334score
code-review
jemdiggity
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
SkillAFreshness: A★ 1Claude Code +9 - 0.324score
code-review
alexcamlo
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
SkillAFreshness: AClaude Code +9 - 0.324score
code-review
Grindhead
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
SkillAFreshness: AClaude Code +9
More from hasegama
- 0.570score
explainer
hasegama
特定の読み手に向けて、概念・PR・設計を「冗長にならない水準」の速習資料として説明し、図と主張を道具で検証する。読み手のペルソナ(既に知っていること・知らないこと・読み方)を質問と公開情報から作り、その差分だけを書く。図は vlmkit-anim…
SkillAFreshness: AClaude Code +9 - 0.566score
explainer-book
hasegama
1 本の速習資料では収まらない、章立ての学習資料(topic-book/01-quickstart.md, 02-….md …)を、読み手のペルソナに合わせて設計・執筆・検証する。章ごとの学習目標と理解度チェックの対応、概念を導入より前に使わない順序、章の読了時間の予算、「未完成なら落ち、答えなら通る」演習、book…
SkillAFreshness: AClaude Code +9 - 0.565score
explanatory-animation
hasegama
Explain an algorithm, protocol, data structure, state machine, or architecture as a checked animation or still figure with `vlmkit-anim` — one JSON scene (a…
SkillAFreshness: AClaude Code +9 - 0.565score
explain-with-anim
hasegama
Answer "how does this work / how is this structured / what does this change" with a drawn figure and a narration that follows it — a module map from the…
SkillAFreshness: AClaude Code +9 - 0.565score
d2-diagram
hasegama
Draw a software architecture, system, data-model or call-flow diagram as D2 text laid out by TALA (D2's whiteboard-style engine, open source since D2 0.9)…
SkillAFreshness: AClaude Code +9 - 0.560score
d2-slides
hasegama
Build a slide deck whose source is text and whose figures are laid out by TALA — one Markdown file with a ```d2 fence per figure, compiled to a self-contained…
SkillAFreshness: AClaude Code +9
Cite this page
code-review skill. Agent Mart. https://agentmart.dev/skills/hasegama-code-review (last updated 2026-10-24)