code-review

code-review is a skill for Claude Code, Codex from ntaffzii/Skill-Agents. It costs 54 tokens per session (481 once invoked), scanned A, original, MIT.

A code-review skill for examining code changes, pull requests, or local edits for bugs, regressions, risky behavior, missing tests, and maintenance problems.

In plain words
What is it for?
Checking the intended behavior, tracing changed code paths, assessing tests and edge cases, and reporting findings by severity.
Why use it?
It focuses review on issues that could break existing behavior or make future changes harder.

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/ntaffzii/skill-agents/code-review
Any agent
npx skills add ntaffzii/Skill-Agents --skill code-review
Clone the repo
git clone --depth 1 https://github.com/ntaffzii/Skill-Agents

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for code-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/ntaffzii/skill-agents/code-review.svg)](https://agentmods.dev/skills/ntaffzii/skill-agents/code-review)
Your own site
<a href="https://agentmods.dev/skills/ntaffzii/skill-agents/code-review"><img src="https://agentmods.dev/badge/skills/ntaffzii/skill-agents/code-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 481 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 $0.00054 $0.00481
Opus 5 $0.00027 $0.00241
Sonnet 5 $0.00011 $0.00096
Haiku 4.5 $0.00005 $0.00048

Measured 3d ago against content hash bf86e8506720, 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 3d ago.

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.

skills/engineering/code-review/SKILL.md · 73 lines

What it actually says

Code Review

Use a reviewer stance. Findings come first. Summaries are secondary.

Review Order

  1. Understand the intent

    • Read the user request, PR description, issue, or nearby docs.
    • Identify the expected behavior change.
  2. Ask whether the change should exist

    • Look for simpler alternatives, existing helpers, smaller scope, or a better layer for the change.
    • Flag avoidable risk when the same outcome can be achieved with less behavioral surface.
  3. Inspect the actual diff

    • Trace changed code paths end to end.
    • Check callers, data shapes, error paths, async paths, and boundary conditions.
    • Look for behavior that differs from the stated intent.
  4. Verify tests

    • Check whether tests cover the changed behavior.
    • Prefer tests that would fail on the discovered issue.
    • Flag missing regression coverage when risk is real.
  5. Report findings

    • Lead with issues ordered by severity.
    • Include file and line references.
    • Explain why the issue matters and how it can fail.
    • Keep praise and general commentary out of the findings section.

Severity

  • P0: breaks core production behavior, data loss, security exposure, or prevents release.
  • P1: likely user-facing bug, broken important workflow, serious regression.
  • P2: edge-case bug, missing important test, maintainability risk with plausible impact.
  • P3: minor issue or cleanup suggestion.

Output Format

If issues exist:

Findings
- [P1] Title - path:line
  Explanation.

Open Questions
- ...

Summary
Brief context only.

If no issues:

No findings.

Residual risk: mention any tests not run or areas not inspected.

Rules

  • Do not rewrite the code unless the user asks.
  • Do not bury findings under a long summary.
  • Avoid style comments unless style creates a real defect or conflicts with established local patterns.
  • Distinguish what the code claims from what was actually verified.
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. 3d ago First seen · 73 lines · 54 tokens per session scan A bf86e8506720

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository ntaffzii/Skill-Agents (4 stars, last pushed 4d ago), licensed MIT. It adds 54 tokens to every session and 481 once invoked, about $0.0003 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 2026-08-31.