code-review

code-review is a skill for Claude Code, Codex from tlangridge/agent-swarm. It costs 26 tokens per session (591 once invoked), scanned A, original, MIT.

A checklist for reviewing code for correctness, readability, speed, security, and error handling.

In plain words
What is it for?
It is for systematically reviewing code changes and reporting problems in behaviour, style, performance, security, and failure handling.
Why use it?
It helps reviewers catch edge cases, missing asynchronous operations, inefficient data access, security risks, and unclear code before changes are accepted.

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/tlangridge/agent-swarm/code-review
Any agent
npx skills add tlangridge/agent-swarm --skill code-review
Clone the repo
git clone --depth 1 https://github.com/tlangridge/agent-swarm

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/tlangridge/agent-swarm/code-review.svg)](https://agentmods.dev/skills/tlangridge/agent-swarm/code-review)
Your own site
<a href="https://agentmods.dev/skills/tlangridge/agent-swarm/code-review"><img src="https://agentmods.dev/badge/skills/tlangridge/agent-swarm/code-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 591 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 $0.00026 $0.00591
Opus 5 $0.00013 $0.00296
Sonnet 5 $0.00005 $0.00118
Haiku 4.5 $0.00003 $0.00059

Measured 4d ago against content hash 573ddd859288, 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 4d 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/code-review/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Review Checklist

When reviewing code changes, evaluate each area systematically.

1. Correctness

  • Does the code do what the task/spec requires?
  • Are edge cases handled (empty inputs, null values, boundary conditions)?
  • Are off-by-one errors avoided in loops and array access?
  • Is async/await used correctly (no missing awaits, no unhandled promise rejections)?
  • Are return types and values correct?
  • Do conditional branches cover all cases?

2. Style and Readability

  • Does the code follow existing project conventions and patterns?
  • Are variable and function names descriptive and consistent?
  • Is there unnecessary duplication that should be extracted?
  • Are complex sections commented with "why" not "what"?
  • Is the code organized logically (related functions grouped, clear module boundaries)?

3. Performance

  • Are there unnecessary loops or repeated computations?
  • Are database/file operations batched where possible?
  • Are there potential memory leaks (unclosed resources, growing collections)?
  • Is data fetched efficiently (no N+1 queries, appropriate pagination)?
  • Are expensive operations cached when results are reused?

4. Security

  • Is user input validated and sanitized?
  • Are secrets kept out of source code (using env vars, not hardcoded)?
  • Are file paths validated to prevent path traversal?
  • Is authentication/authorization checked where required?
  • Are SQL/command injection vectors avoided?

5. Error Handling

  • Are errors caught and handled appropriately (not silently swallowed)?
  • Do error messages provide enough context for debugging?
  • Are resources cleaned up in error paths (try/finally, using patterns)?
  • Are external service failures handled gracefully (timeouts, retries, fallbacks)?
  • Are error types specific enough for callers to handle differently?

6. Testing

  • Are new features covered by tests?
  • Do tests cover both happy path and error cases?
  • Are tests independent and not relying on shared mutable state?
  • Do test names clearly describe what they verify?

Read the full file on GitHub · 67 lines

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. 4d ago First seen · 67 lines · 26 tokens per session scan A 573ddd859288

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository tlangridge/agent-swarm (5 stars, last pushed 6mo ago), licensed MIT. It adds 26 tokens to every session and 591 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 2026-08-31.

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