event4u-app/agent-config

code-review

Use when the user says "review this", "check my code", or wants feedback on changes. Reviews for correctness, quality, security, and coding standards.

97CollectingReads files
See how to use itView GitHub source
npx skills add https://github.com/event4u-app/agent-config --skill "src/skills/code-review"

Quick start

Start using it in three steps

Install it or open the source, trigger it with a clear task, then follow the source workflow.

1

Install the Skill

npx skills add https://github.com/event4u-app/agent-config --skill "src/skills/code-review"
2

Describe the task

Use code-review to help me with: [describe your task]. Before you begin, tell me what input you need, the steps you will follow, and the expected output.

3

Follow the workflow

No structured workflow was detected; follow the original SKILL.md below.

Continue to the workflow

Direct answers

Answers to review before you install

What is code-review?

Reviews for correctness, quality, security, and coding standards.

Who should use code-review?

It is relevant to workflows involving Code review, Engineering.

How do you install code-review?

SkillSignal detected this source-specific command: npx skills add https://github.com/event4u-app/agent-config --skill "src/skills/code-review". Inspect the repository and command before running it.

Which Agent platforms does it support?

The upstream source does not declare a dedicated Agent platform.

What permissions or risks should you review?

Static analysis detected read-files signals. Review the cited source lines before installing; these signals are not a security audit.

What are the current evidence limits?

This page combines upstream documentation with deterministic repository, quality, and static-risk signals. It is not described as a manual test or security review.

SkillSignal brief

Decide whether it fits your work first

Reviews for correctness, quality, security, and coding standards.

Useful in these contexts

Not yet included in a workflow collection

Core capabilities

Code reviewEngineering

Distilled from the source

Understand this Skill in one minute

About 8 min · 13 sections

When it is worth using

  1. Reviewing a PR (own or someone else's)

  2. Self-reviewing local changes before creating a PR

  3. Responding to review feedback on your PR

  4. The user asks to "review", "check", or "look at" code changes

Examples and typical usage

  1. Reasoned validation first — group candidates by file + line range,

  2. Tier 1 — Mechanical — enumerated, fix-ready findings by severity blocks, never mixed.

  3. Tier 2 — Alignment — each flag names the principle/ADR at stake + the concern (from the governance-conflict scan); not fix-ready by construction.

Repository stars
7
Repository forks
1
Quality
97/100
Source repository last pushed

Quality breakdown

Based on traceable docs and repository signals; stars are not treated as quality.

97/100
Documentation27/30
Specificity25/25
Maintenance20/20
Trust signals25/25

Compare before choosing

Related Agent Skills and source variants

These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.

View original Skill.mdThis page is parsed directly from the repository SKILL.md without editorial rewriting. Collected: Jul 28, 2026 · about 8 min

code-review

When to use

Use this skill when:

  • Reviewing a PR (own or someone else's)
  • Self-reviewing local changes before creating a PR
  • Responding to review feedback on your PR
  • The user asks to "review", "check", or "look at" code changes

Procedure: Review code

Mindset

  • Be thorough but pragmatic — catch real bugs, not style nitpicks that tools handle.
  • Understand intent first — read the PR description, linked ticket, and commit messages before looking at code.
  • Check the full picture — a change in a service may require changes in tests, migrations, docs.
  • Assume good intent — suggest improvements, don't criticize.

Review order

  1. Understand the goal — what is this change trying to achieve?
  2. Detect the change-type + depth — route to the right checklist and pick the review depth (below).
  3. Architecture — does the approach make sense? Right layer? Right pattern?
  4. Correctness — does it actually work? Edge cases? Error handling?
  5. Quality — types, naming, readability, DRY, SOLID?
  6. Security — input validation, authorization, injection?
  7. Performance — N+1 queries, missing indexes, unbounded queries?
  8. Tests — are new paths covered? Are existing tests still valid?
  9. Conventions — does it follow project standards?

Change-type routing — load only the checklist the diff needs

Per-domain checklists live in checklists/, loaded on demand — a review carries only the depth the change needs (progressive disclosure; a dependency bump does not pay for the backend security table). Detect the change-type from the diff's file paths, then read the matching file:

Change-typeFile-pattern signal (any match)Checklist
dependency (expedited)ONLY composer.json/*.lock, package.json/lockfiles, pyproject.toml, go.mod/go.sum, Cargo.toml/*.lockchecklists/dependency.md
migration / database**/migrations/**, **/*migration*, schema files, query-heavy data-access codechecklists/database.md
frontend / UI*.tsx, *.jsx, *.vue, *.blade.php, *.css, components/**, resources/views/**checklists/frontend.md
infra / IaC / CI*.tf, Dockerfile*, k8s/**, *.yaml under .github/workflows/, Pulumi/Ansiblechecklists/infra.md
test-onlyONLY tests/**, *.test.*, *.spec.*, *Test.phpchecklists/test-only.md
docs-onlyONLY *.md, docs/**checklists/docs.md
backend / defaultanything else (server-side logic)checklists/backend.md

A diff spanning several types loads each matching checklist; a mixed diff is never downgraded to the expedited path (a lockfile bump plus code is backend

  • dependency). Every checklists/*.md file MUST be reachable from a row above.

Framework-specific conventions defer to the carve-outs: PHP / Laravel → laravel, laravel-validation, eloquent, pest-testing, blade-ui, php-coder; Symfony → symfony-workflow; Next.js / TS → nextjs-patterns, react-shadcn-ui.

Metadata gates — verdict until satisfied

Some changes are unverifiable from source; when a gate fires the verdict is , not approval — ask for the missing evidence:

  • UI diff without a screenshot / visual check (rendered result unverifiable from source).
  • New module / feature without a test plan (behaviour coverage unconfirmable).
  • Optional cross-cutting gate (per-project): a new state-changing op without a telemetry OR authz touch → .

Adaptive review depth

Pick depth from diff size, override upward on risk:

Diff / surface sizeDepthWhat it means
SMALL (single file / few lines)DEEPRead every line; trace each branch.
MEDIUM (a feature, several files)FOCUSEDDeep on changed logic + its callers; skim the rest.
LARGE (sweeping / many files)SURGICALDeep on the risk-bearing files; explicitly bound the rest as un-deep-reviewed.

Risk triggers force HIGH depth regardless of diff size: auth / crypto, external calls / SSRF, removal of a validation or authz check, money / tenant-boundary code. blast-radius-analyzer is one input to sizing; the depth policy + coverage-honesty line are this skill's addition. Every review ends with a Coverage & confidence line (deep-reviewed vs skimmed/bounded-out files + confidence) — silent partial coverage reads as full coverage.

Re-review scoping + parallel-review de-biasing

  • Re-review scoping — on a follow-up push, scope to the changed lines only; never flag new issues in untouched code (note pre-existing issues separately, never in the blocking set). Same discipline fix-pr-comments reply rounds apply.
  • Ordering-bias — when N reviewers/lenses get the same file set (parallelizable: files; council lenses), give each an independently shuffled file order (deterministic seed per session, logged for replay) so a fixed order does not correlate their blind spots. Single-reviewer → no shuffle.

Before creating a PR

  1. When quality.local_auto_run: true: run the project's quality pipeline (see the stack carve-out for the exact commands — PHP: quality-tools) and tests via the project's runner (make test, npm test, pytest, go test ./..., or the project's wrapper script). Under the default (false / missing): skip both — remote CI on the PR is the gate.
  2. Ensure CI passes on the branch (remote CI is authoritative).
  3. Self-review the diff: git diff origin/main..HEAD.

Receiving feedback

The response pattern

Constraint: understand each comment fully before touching code, verify it against codebase reality, and implement one item at a time (test each). Restate anything ambiguous in your own words — or ask. Push back with technical reasoning when a suggestion is unsound for this codebase rather than complying reflexively.

If any item is unclear, STOP — do not implement anything yet. Items may be related; partial understanding leads to wrong implementation.

No performative agreement

  • Do NOT reply with "Great point!", "You're absolutely right!", "Excellent catch!" or similar.
  • Instead: Just fix it. "Fixed." or "Updated — [brief description of what changed]."
  • Actions speak louder than words — the code itself shows you heard the feedback.

Source-specific handling

Internal team feedback (trusted colleagues):

  • Implement after understanding — no need for deep skepticism.
  • Still ask if scope is unclear.
  • Skip to action or technical acknowledgment.

External / Copilot / bot feedback (less context):

  • Check: Technically correct for THIS codebase?
  • Check: Does it break existing functionality?
  • Check: Is there a reason for the current implementation?
  • Check: Does the reviewer understand the full context?
  • YAGNI check: If the reviewer suggests "implementing properly", grep the codebase for actual usage. If unused → suggest removing (YAGNI).
  • If it conflicts with existing architectural decisions → discuss with the team first.

When to push back

Push back when:

  • Suggestion breaks existing functionality.
  • Reviewer lacks full context.
  • Violates YAGNI (unused feature).
  • Technically incorrect for this stack.
  • Legacy/compatibility reasons exist.
  • Conflicts with architectural decisions.

How: Use technical reasoning, not defensiveness. Reference working tests/code.

Addressing PR comments systematically

Constraint: clarify anything unclear before implementing, fix one item at a time (test each), and reply in each review thread — not as a top-level PR comment. Triage first (blocking → simple → complex) so blockers land first; gh pr view --comments lists the threads.

# Reply to a specific review comment thread
gh api repos/{owner}/{repo}/pulls/comments/{comment_id}/replies \
  -f body="Fixed in latest commit."

Rubric pass (optional, surfacing-only)

After completing a review, run judge-artifact-completeness with rubric pr-review-score to verify evidence-fit, risk/blast-radius coverage, and migration/rollback completeness. Invoke when the review is high-risk or the user asks for a completeness check — not by default.

Output format

Validate, then emit these parts in order:

  1. Reasoned validation first — group candidates by file + line range, disposition each CONFIRMED / adjusted / DROPPED with a one-line reason (not vote-counting).
  2. Tier 1 — Mechanical — enumerated, fix-ready findings by severity blocks, never mixed.
  3. Tier 2 — Alignment — each flag names the principle/ADR at stake + the concern (from the governance-conflict scan); not fix-ready by construction.
  4. Dropped false positives — collapsible; each DROPPED candidate + reason. Empty is fine, but the section is mandatory (its presence proves validation ran).
  5. Verdict lineYES / NOT-SURE (, a metadata gate fired or coverage bounded) / NO, plus Tier-1 blocker/suggestion counts.
  6. Coverage & confidence line — deep vs skimmed/bounded-out files + confidence.

Full template, governance-conflict scan (status-aware over docs/decisions/, incl. draft ADRs; guarded git blame reviewer hint), and the security-class deep-verify path → checklists/producing-the-review.md.

Tally-vs-reasoned boundary. Finding-level review uses reasoned validation (each finding stands on its own traced reason); option-level decisions use the council stance tally (ai-council). Never cross-apply — no resolving a bug finding by counting votes, no resolving a design option by reasoned-validating one take. Mirrored in ai-council so the boundary is grep-checkable from both sides.

Group related findings; skip what the linter / type-checker already catches.

Adversarial review

Before creating a PR or presenting code changes, run the adversarial-review skill. Focus on the "Code changes / Refactoring" attack questions.

Auto-trigger keywords

  • code review
  • PR review
  • pull request
  • review checklist
  • review feedback
  • review changes
  • check my code

Gotcha

  • Don't rewrite code that works and is tested just because you'd write it differently.
  • The model tends to suggest changes that are out of scope — stay focused on the PR's intent.
  • "I would prefer X" is not a valid review comment unless X prevents a bug or violates a rule.
  • Always check if the PR has tests — missing tests is always worth flagging.

Do NOT

  • Do NOT approve without actually reading the code.
  • Do NOT agree with review comments without verifying them against the codebase.
  • Do NOT use performative language when responding to feedback ("Great point!", "Excellent catch!").
  • Do NOT nitpick style issues the project's formatter / auto-refactor (ECS, Prettier, Ruff, gofmt) handles automatically.
  • Do NOT merge without CI passing and quality checks green.
Skill path
src/skills/code-review/SKILL.md
Commit SHA
0adf49a8ae84
Repository license
MIT
Data collected