review-fix

review-fix is a skill for Claude Code from nwiizo/ccswarm. It costs 20 tokens per session (569 once invoked), scanned A, original, MIT.

A workflow for checking uncommitted code changes, fixing clear correctness problems, and verifying the result.

In plain words
What is it for?
Use it to review Rust changes, run baseline checks, inspect new files, and confirm that fixes pass builds, linting, and tests.
Why use it?
It helps catch broken references, duplicated code, unsuitable hard-coded paths, and other issues before changes are committed.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: agent in frontmatter; mentions subagents; installed under .agents/ (shared by several agents).

Good fit Use it to review Rust changes, run baseline checks, inspect new files, and confirm that fixes pass builds, linting, and tests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nwiizo/ccswarm/review-fix
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.

Any agent
npx skills add nwiizo/ccswarm --skill review-fix
Clone the repo
git clone --depth 1 https://github.com/nwiizo/ccswarm

Made for: Claude Code.

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 review-fix

README.md
[![agentmods](https://agentmods.dev/badge/skills/nwiizo/ccswarm/review-fix/github.svg)](https://agentmods.dev/skills/nwiizo/ccswarm/review-fix)
Your own site
<a href="https://agentmods.dev/skills/nwiizo/ccswarm/review-fix"><img src="https://agentmods.dev/badge/skills/nwiizo/ccswarm/review-fix/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for review-fix

Your own site · 80×15
<a href="https://agentmods.dev/skills/nwiizo/ccswarm/review-fix"><img src="https://agentmods.dev/badge/skills/nwiizo/ccswarm/review-fix.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 569 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00020 $0.00569
Opus 5.5 $0.00008 $0.00228
Sonnet 5.5 $0.00004 $0.00114
Haiku 4.5 $0.00002 $0.00057

Measured 1mo ago against content hash dddf0190ba4c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-fix 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 1mo 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.

.agents/skills/review-fix/SKILL.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When subagents are enabled in Codex, prefer delegating this workflow to the review-fix-agent custom agent.

Review uncommitted changes, fix actionable issues, and verify the result.

Workflow

Phase 1: Scope

  1. git status --short and git diff --stat HEAD to determine what changed.
  2. If no changes exist, abort with "nothing to review".

Phase 2: Baseline

Run build and lint to establish a clean starting point:

cargo clippy --workspace -- -D warnings 2>&1 | tail -20
cargo test --workspace --no-run 2>&1 | tail -5

If the baseline already fails, report the failures and stop. Do not mask pre-existing breakage.

Phase 3: Review

Inspect the diff and new untracked files. Check for:

Category What to look for
Stale references Deleted modules, commands, docs, or templates still referenced
Code duplication Identical structs or functions across files worth extracting
Provider abstraction gaps Hard-coded CLI names instead of the AgentProvider trait
Dead async Async work discarded and then repeated synchronously
Sort instability Utc::now() used as a fallback sort key
Hardcoded paths Filesystem paths that should be relative to repo_path
Unused params Accepted CLI arguments silently ignored
Security Path traversal, credential leaks, unchecked user input

Classify each finding:

  • Fix: clear bug or correctness issue. Fix it now.
  • Warn: design concern or missing feature. Report it, but do not fix unless trivial.
  • Note: style or informational only.

Phase 4: Fix

For each fix-level finding:

  1. Make the minimal, surgical edit.
  2. Do not change unrelated code.
  3. After all fixes, run:
cargo clippy --workspace -- -D warnings
cargo test --workspace --no-run

If clippy or test compilation fails, revert the offending edit and downgrade it to a warning.

Phase 5: Report

Output a structured summary:

## Review + Fix Report

### Fixed
- <file>:<line> - <description>

### Warnings
- <file>:<line> - <description>

### Notes
- <description>

### Verification
- clippy: PASS / FAIL
- test compile: PASS / FAIL
- files modified: N

Read the full file on GitHub · 88 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. 1mo ago First seen · 88 lines · 20 tokens per session scan A dddf0190ba4c

Subscribe to this mod's changes

review-fix is a skill published in the GitHub repository nwiizo/ccswarm (153 stars, last pushed 3d ago), licensed MIT. It adds 20 tokens to every session and 569 once invoked, about $0.0001 per session on Opus 5.5. 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

adversarial-reviewer

Stress-test a code change for concrete correctness defects, unsafe assumptions, and failure modes. Use when the user explicitly asks for an adversarial review, a deep bug hunt, or to tear a change apart. Do not use for ordinary review, style feedback, or general improvement suggestions.

emdash-cms/emdash · 62 tokens

gsd-ns-review

quality gates | code review debug audit security eval ui.

open-gsd/gsd-core · 16 tokens

gitnexus

A code-graph analysis add-on for examining an existing codebase, including symbols, call paths, execution flows, and effects across repositories. It can query GitNexus through its command-line or MCP interfaces.

hashgraph-online/awesome-codex-plugins · 58 tokens

issue

Use when starting a chain from a GitHub issue — turning an issue URL or number into a triaged, planned, dispatched, and reviewed pull request. Classifies the thread (bug → root-cause discipline, feature → plan chain, question → drafted reply), synthesizes a spec from the issue's own acceptance criteria, then runs the…

jeremylongshore/tons-of-skills-marketplace · 115 tokens

cleanup-code-inspections

Reduce technical debt and improve code quality by systematically resolving static analysis warnings.

flutter/flutter-intellij · 19 tokens

superlint

This skill describes the mandatory standard operating procedure for using our internal SuperLint tool. Use this when tasks require fixing code quality issues according to corporate standards.

mgechev/skillgrade · 0 tokens