review-work

review-work is a skill for Claude Code, Codex from code-yeongyu/oh-my-openagent. It costs 63 tokens per session (4,691 once invoked), scanned A, original, no licence file.

A post-implementation review process that checks a completed change from several angles, including the original goal, code quality, security, hands-on testing, and project context.

In plain words
What is it for?
Use it after implementation to review code, run quality checks, inspect security, perform hands-on QA, and verify the change against project information.
Why use it?
It reduces the chance of approving work that meets one requirement but misses a quality, security, testing, or context problem.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it after implementation to review code, run quality checks, inspect security, perform hands-on QA, and verify the change against project information.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/code-yeongyu/oh-my-openagent/review-work
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 code-yeongyu/oh-my-openagent --skill review-work
Clone the repo
git clone --depth 1 https://github.com/code-yeongyu/oh-my-openagent

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 review-work

README.md
[![agentmods](https://agentmods.dev/badge/skills/code-yeongyu/oh-my-openagent/review-work/github.svg)](https://agentmods.dev/skills/code-yeongyu/oh-my-openagent/review-work)
Your own site
<a href="https://agentmods.dev/skills/code-yeongyu/oh-my-openagent/review-work"><img src="https://agentmods.dev/badge/skills/code-yeongyu/oh-my-openagent/review-work/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-work

Your own site · 80×15
<a href="https://agentmods.dev/skills/code-yeongyu/oh-my-openagent/review-work"><img src="https://agentmods.dev/badge/skills/code-yeongyu/oh-my-openagent/review-work.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,691 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Anti-Refusal · line 208
    Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.
    Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
How audits are shown
Origin unknown 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 $0.00063 $0.04691
Opus 5.5 $0.00025 $0.01876
Sonnet 5.5 $0.00013 $0.00938
Haiku 4.5 $0.00006 $0.00469

Measured 29d ago against content hash 39dca7dd57ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-work scanned grade A with 1 finding 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 29d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- HTTP: `curl -i` (or an API request context) - status line, headers, body.
packages/shared-skills/skills/review-work/SKILL.md · 287 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 29d ago Changed 39dca7dd57ae
  2. 1mo ago Changed 71ee48c8e70b
  3. 1mo ago Changed 01d44dd49504
  4. 1mo ago Changed · -318 lines · -62 tokens per session 929f1867876f
  5. 1mo ago First seen · 605 lines · 125 tokens per session scan A 084f8be5593a

Subscribe to this mod's changes

review-work is a skill published in the GitHub repository code-yeongyu/oh-my-openagent (70,278 stars, last pushed today), with no licence file. It adds 63 tokens to every session and 4,691 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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