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Agent skill

Review Code

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Review code changes for correctness defects, regressions, security risks, data-integrity problems, concurrency hazards, and missing meaningful tests.

Apache-2.0Auto-check passedDevelopment

Install Review Code

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill review-code -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins review-code --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/Phelan164/codex-howto/skills/review-code .claude/skills/review-code && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
review-code
GitHub stars
1.2k
Token cost
~588 tokens
SKILL.md length
267 words
Files
4 (incl. references)
Skills in repo
736
Repo updated
First seen
Licence
Apache-2.0

At a glance

Review code changes for correctness defects, regressions, security risks, data-integrity problems, concurrency hazards, and missing meaningful tests.

  • Works in 5 steps: Establish the review target and… → Inspect the diff, then trace changed… → Inspect the target, isolation, fixtures,… → …
  • Working-tree reviews
  • SKILL.md covers Workflow, Finding standard, Review boundaries and Checklist, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Review Code is an agent skill from hashgraph-online/awesome-codex-plugins. Review code changes for correctness defects, regressions, security risks, data-integrity problems, concurrency hazards, and missing meaningful tests. Use for pull requests, branches, commits, patches, or working-tree reviews; do not use for implementation unless the user separately requests fixes.

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `agents/openai.yaml`, `references/review-checklist.md` and `references/review-lenses.md`).

It sits in Development, covering Code review and Pull requests. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.

When your agent uses it

  • Working-tree reviews
  • Do not use for implementation unless the user separately requests fixes

Example prompts

  • “/review-code”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Establish the review target and comparison base.
  2. Inspect the diff, then trace changed behavior through callers, contracts,
  3. Inspect the target, isolation, fixtures, and side effects before running a
  4. Rank findings by impact and confidence; remove duplicates and speculation.
  5. Return findings first, followed by open questions and a short summary.

What it can do on your machine

Read from SKILL.md and the folder at commit 16b4156. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Review Code loads about 588 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 78 tokens; SKILL.md has 267 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~588
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 16b4156, republished under its Apache-2.0 licence (© hashgraph-online). 267 words, ~588 tokens.

Download SKILL.mdSave it as .claude/skills/review-code/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
review-code
description
Review code changes for correctness defects, regressions, security risks, data-integrity problems, concurrency hazards, and missing meaningful tests. Use for pull requests, branches, commits, patches, or working-tree reviews; do not use for implementation unless the user separately requests fixes.

Review Code

Workflow

  1. Establish the review target and comparison base.
  2. Inspect the diff, then trace changed behavior through callers, contracts, persistence, side effects, and tests.
  3. Inspect the target, isolation, fixtures, and side effects before running a narrow check that materially confirms a suspected issue.
  4. Rank findings by impact and confidence; remove duplicates and speculation.
  5. Return findings first, followed by open questions and a short summary.

Use correctness as the default lens. For large, risky, or requirement-heavy changes, add the standards and specification lenses in references/review-lenses.md. Keep each finding tied to its source; documented rules and acceptance criteria outrank personal preference.

Finding standard

Each finding must include:

  • severity;
  • precise file and line or symbol;
  • the failing scenario or invariant;
  • user or system impact;
  • evidence or a reproduction path;
  • a concise fix direction when clear.

Do not report style preferences, theoretical risks without a reachable path, or issues outside the change unless the diff materially exposes them.

Review boundaries

  • Review in read-only mode by default.
  • Do not run production-integrated, shared-environment, or destructive tests without explicit authorization and verified isolation.
  • Do not modify, comment, approve, or request changes on a remote PR unless asked.
  • Do not equate passing tests with correctness.
  • Do not treat generated code or lockfile churn as a defect without understanding its source.
  • Respect repository-specific compatibility and risk rules.
  • State when a claim was not reproduced.

Checklist

Read references/review-checklist.md when the change touches APIs, data, authorization, concurrency, infrastructure, or tests.

Output

If there are no actionable findings, say so directly and name residual unverified areas. Keep the summary shorter than the findings.

© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in plugins/Phelan164/codex-howto/skills/review-code of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • agents/openai.yaml
  • references/review-checklist.md
  • references/review-lenses.md

Open the folder on GitHubat commit 16b4156

Compare with similar skills

Review Code next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Review Code compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review Code this skillhashgraph-online/awesome-codex-plugins1.2k—~588Automated safety check: PassApache-2.0
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Understand Diff AnalysisEgonex-AI/Understand-Anything85k1 repos~1.4kAutomated safety check: PassMIT
WooCommerce Code Reviewwoocommerce/woocommerce11k3 repos~1.1kAutomated safety check: PassCustom licence
Open Code Review CLIalibaba/open-code-review44k—~3.1kAutomated safety check: PassApache-2.0
GitHub Review Iterationprisma/orm48k—~2.2kAutomated safety check: PassApache-2.0

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  • PR Babysitter

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    69k GitHub starsUsed in 3 repos~4.2k tokens
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  • Understand Diff Analysis

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    Reads your git changes or a pull request against a prebuilt knowledge graph of the project to explain what changed, which components are affected and what is risky.

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  • WooCommerce Code Review

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    Runs the ocr command-line tool to review Git changes, a commit or a branch comparison with an AI model, returning line-level comments and optionally applying fixes.

    44k GitHub stars~3.1k tokensUpdated 2 days ago
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Categories

Questions about Review Code

What does Review Code do?

Review code changes for correctness defects, regressions, security risks, data-integrity problems, concurrency hazards, and missing meaningful tests. Review Code is an agent skill from hashgraph-online/awesome-codex-plugins. Review code changes for correctness defects, regressions, security risks, data-integrity problems, concurrency hazards, and missing meaningful tests.

When should I use Review Code?

Review Code fits situations like: working-tree reviews; do not use for implementation unless the user separately requests fixes.

How do I install Review Code in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill review-code -a claude-code`. Or copy the skill folder (plugins/Phelan164/codex-howto/skills/review-code in hashgraph-online/awesome-codex-plugins) into .claude/skills/review-code in your project. Claude Code loads it when a task matches its description.

How do I install Review Code in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill review-code -a codex`. Or copy the skill folder (plugins/Phelan164/codex-howto/skills/review-code in hashgraph-online/awesome-codex-plugins) into .agents/skills/review-code in your project. Codex loads it when a task matches its description.

Can I use Review Code in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill review-code -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review-code, .gemini/skills/review-code, .github/skills/review-code and .opencode/skills/review-code in your project.

What does Review Code need to run?

SKILL.md names no scripts, command-line tools or credentials: Review Code is instructions for the agent only.

Does Review Code access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Review Code safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Review Code use?

Review Code is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Review Code use?

About 588 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 739 tokens, read only when the agent opens those files.

What are the alternatives to Review Code?

Skills that share tags, products or a category with Review Code: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Understand Diff Analysis (Egonex-AI/Understand-Anything, 85k stars), WooCommerce Code Review (woocommerce/woocommerce, 11k stars) and Open Code Review CLI (alibaba/open-code-review, 44k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review Code?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,232 GitHub stars. The repository holds 736 skills in this directory. The repository was last updated on October 6, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.