code-review

A checklist for reviewing code changes before they are merged into a shared codebase. It checks whether the changes match the request and follow project rules.

In plain words
What is it for?
Use it to review a code diff, identify blocking issues and recommended improvements, and list checks that still need to be run.
Why use it?
It helps catch security risks, missing tests, unnecessary dependencies, broken checks, and changes outside the requested scope before they reach other developers or users.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/ezbuilder/code-brain/code-review
Any agent
npx skills add ezBuilder/code-brain --skill code-review
Clone the repo
git clone --depth 1 https://github.com/ezBuilder/code-brain

Made for: Claude Code, Codex.

Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 160 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00017 $0.00160
Opus 5 $0.00009 $0.00080
Sonnet 5 $0.00003 $0.00032
Haiku 4.5 $0.00002 $0.00016

Measured yesterday against content hash bb43bdbec500, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

code-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

kits/global-agent-kit/.claude/skills/code-review/SKILL.md · 20 lines

What it actually says

리뷰 기준:

  1. 요청 범위와 diff가 일치하는지 확인한다.
  2. 새 dependency, 단일 구현 abstraction, 요청 없는 boilerplate/scaffold를 찾는다.
  3. 타입/린트/테스트 실패 가능성을 확인한다.
  4. 보안/인증/권한/삭제 영향 여부를 확인한다.
  5. 테스트 누락과 edge case를 확인한다.
  6. 전역 규칙, 프로젝트 규칙, settings/hooks 간 충돌을 확인한다.
  7. 수정 제안은 작고 구체적으로 작성한다.

보고 형식:

  • 차단 이슈:
  • 개선 권장:
  • 검증 필요:
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 20 lines · 17 tokens per session scan A bb43bdbec500

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository ezBuilder/code-brain (11 stars, last pushed 2d ago), licensed Apache-2.0. It adds 17 tokens to every session and 160 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

kayba-stage-3-metrics

Define metrics from Kayba insights, implement them as Python measurement code, run against traces, and iterate until the metrics are clean and meaningful. Trigger when the user says "run stage 3", "define metrics", "build metrics", "compute baselines", or when invoked by the kayba-pipeline orchestrator. Requires…

kayba-ai/agentic-context-engine · 92 tokens

kayba-stage-4-rubric

Organize computed metrics into a tiered evaluation rubric with leading, lagging, and quality indicators. Trigger when the user says "run stage 4", "build rubric", "tier metrics", or when invoked by the kayba-pipeline orchestrator. Requires eval/baselinemetrics.json and eval/computebaselines.py to exist.

kayba-ai/agentic-context-engine · 77 tokens

kayba-stage-5-action-plan

Triage each insight into discard/code-fix/prompt-fix and produce a prioritized action plan with specific recommendations. Trigger when the user says "run stage 5", "make action plan", "triage skills", or when invoked by the kayba-pipeline orchestrator. Requires eval outputs from stages 1-4.

kayba-ai/agentic-context-engine · 74 tokens

kayba-stage-6-hitl

Human-In-The-Loop gate that presents the action plan with full context, collects an informed approval/modification/rejection decision, and records the outcome. Trigger when the user says "run stage 6", "HITL review", "approve action plan", or when invoked by the kayba-pipeline orchestrator. Requires eval/actionplan.md…

kayba-ai/agentic-context-engine · 87 tokens

kayba-stage-2-domain-context

Gather domain context about the repository and agent — system prompt, tool definitions, domain docs, and behavior patterns from traces. Trigger when the user says "run stage 2", "gather context", "domain context", or when invoked by the kayba-pipeline orchestrator.

kayba-ai/agentic-context-engine · 64 tokens

kayba-stage-7-fixer

Implement the approved fixes from the action plan and log all changes. Trigger when the user says "run stage 7", "implement fixes", "apply action plan", or when invoked by the kayba-pipeline orchestrator. Requires eval/actionplan.md to exist.

kayba-ai/agentic-context-engine · 61 tokens