code-review

code-review is a skill for Claude Code, Codex from denn-gubsky/loomcycle. It costs 49 tokens per session (536 once invoked), scanned A, original, Apache-2.0.

A method for reviewing part of a software repository for bugs, security problems, quality issues, and project-rule violations.

In plain words
What is it for?
Use it to inspect selected source files, check error handling and security, and report only findings with high confidence.
Why use it?
It focuses the review on issues likely to be real and important instead of producing a long list of minor guesses.

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

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/denn-gubsky/loomcycle/code-review.svg)](https://agentmods.dev/skills/denn-gubsky/loomcycle/code-review)
Your own site
<a href="https://agentmods.dev/skills/denn-gubsky/loomcycle/code-review"><img src="https://agentmods.dev/badge/skills/denn-gubsky/loomcycle/code-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 536 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 $0.00049 $0.00536
Opus 5 $0.00024 $0.00268
Sonnet 5 $0.00010 $0.00107
Haiku 4.5 $0.00005 $0.00054

Measured 4d ago against content hash a9fdc9133ac5, 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.

examples/exp7-code-review-fanout/claude-code-src/skills/code-review/SKILL.md · 40 lines

How it starts

The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Review

Synthesized for loomcycle exp7 from Claude Code's code-reviewer agent + code-review command + the karpathy-guidelines skill. Methodology for reviewing a slice of a repository with high precision and minimal false positives.

What to look for

  • Project-guideline compliance. Honor the repo's own rules (e.g. CLAUDE.md): import patterns, error handling, logging, naming, platform compatibility, testing conventions.
  • Bugs that bite in practice. Logic errors, nil/undefined handling, race conditions, resource leaks, unchecked errors, security issues (injection, secret handling, authz gaps), performance.
  • Quality. Significant duplication, missing critical error handling, inadequate test coverage.

Confidence scoring (the precision lever)

Rate each candidate issue 0–100:

  • 0 false positive / pre-existing; 25 maybe; 50 real but minor/nit; 75 verified, will hit in practice / guideline-backed; 100 certain, frequent.
  • Only report issues with confidence ≥ 80. Quality over quantity — a short list of true issues beats a long list of nits.

Karpathy behavioral guidelines (apply to the review itself)

  • Surface assumptions. If a finding depends on an assumption (caller behavior, invariant), say so. If unsure, lower the confidence rather than over-claim.
  • Simplicity. Flag overcomplication: speculative abstractions, unrequested configurability, error handling for impossible cases, 200 lines that could be 50.
  • Surgical scope. Judge whether changes touch only what they must; flag drive-by edits/refactors and orphaned (newly-unused) imports/vars. Don't demand rewrites of code that isn't broken.
  • Verifiable. Prefer findings a developer can act on + verify (a failing case, a concrete fix).

Output per issue

file:line · severity (Critical | Important) · confidence · one-line problem · concrete fix. Group by severity. If no ≥80 issues in the slice, say so with a one-line "meets standards" summary.

Read the full file on GitHub · 40 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 · 40 lines · 49 tokens per session scan A a9fdc9133ac5

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository denn-gubsky/loomcycle (13 stars, last pushed yesterday), licensed Apache-2.0. It adds 49 tokens to every session and 536 once invoked, about $0.0002 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.

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