review

review is a skill for Codex from engindemirog/ai-native-engineering-workspace. It costs 28 tokens per session (160 once invoked), scanned A, original, MIT.

A read-only code-review workflow that compares a branch's changes with its specification and plan. It is intended to run in a fresh coding-agent session.

In plain words
What is it for?
Use it to inspect a diff, check whether it matches the agreed work, report findings, and leave the files unchanged.
Why use it?
It provides an independent check and prevents the person who made the changes from being the only reviewer.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions AGENTS.md; mentions Codex.

Good fit Use it to inspect a diff, check whether it matches the agreed work, report findings, and leave the files unchanged.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/engindemirog/ai-native-engineering-workspace/review
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 engindemirog/ai-native-engineering-workspace --skill review
Clone the repo
git clone --depth 1 https://github.com/engindemirog/ai-native-engineering-workspace

Made for: 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

README.md
[![agentmods](https://agentmods.dev/badge/skills/engindemirog/ai-native-engineering-workspace/review/github.svg)](https://agentmods.dev/skills/engindemirog/ai-native-engineering-workspace/review)
Your own site
<a href="https://agentmods.dev/skills/engindemirog/ai-native-engineering-workspace/review"><img src="https://agentmods.dev/badge/skills/engindemirog/ai-native-engineering-workspace/review/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

Your own site · 80×15
<a href="https://agentmods.dev/skills/engindemirog/ai-native-engineering-workspace/review"><img src="https://agentmods.dev/badge/skills/engindemirog/ai-native-engineering-workspace/review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 160 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.
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 $0.00028 $0.00160
Opus 5.5 $0.00011 $0.00064
Sonnet 5.5 $0.00006 $0.00032
Haiku 4.5 $0.00003 $0.00016

Measured 20d ago against content hash 64d55acf7e00, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 20d 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.

adapters/codex/skills/review/SKILL.md · 10 lines

What it actually says

Read AGENTS.md, docs/roles/reviewer.md, and workflows/segments.md. Run the REVIEW segment for spec (the text after $review) / the current branch diff.

Follow the segment contract exactly: entry check from files, the referenced prompt as written, stop at the gate, write the handoff line, then STOP. Never start the next segment. INDEPENDENCE: this skill must run in a FRESH Codex session that has never seen the builder's conversation. Read only the diff, the spec, the plan, and docs/. Do not modify any file.

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 20d ago First seen · 10 lines · 28 tokens per session scan A 64d55acf7e00

Subscribe to this mod's changes

review is a skill published in the GitHub repository engindemirog/ai-native-engineering-workspace (114 stars, last pushed 4d ago), licensed MIT. It adds 28 tokens to every session and 160 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 2026-10-20.

Related

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review next to 6 skills from other repositories
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reviewengindemirog/ai-native-engineering-workspaceSkill1144d agoMITA28Codex
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re0-mergeLilMGenius/paperthinSkill1.4ktodayMITA70Claude Code