codex-adversarial-review-lite

codex-adversarial-review-lite is a skill for Claude Code from razaumair2203-ux/codex-adversarial-review-lite. It costs 37 tokens per session (2,619 once invoked), scanned A, original, MIT.

A review workflow in which Codex CLI independently checks code, plans, and expected tests produced by Claude Code. Claude Code is the builder, while Codex CLI is the reviewer.

In plain words
What is it for?
Auditing a plan or code change with the audit command, or checking that the required tools and model access work with the selftest command.
Why use it?
It adds a separate review before fixes are applied, helping catch problems or scope mistakes in AI-generated work.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions subagents; mentions Codex.

Good fit Auditing a plan or code change with the audit command, or checking that the required tools and model access work with the selftest command.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/razaumair2203-ux/codex-adversarial-review-lite/codex-adversarial-review-lite
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 razaumair2203-ux/codex-adversarial-review-lite --skill codex-adversarial-review-lite
Clone the repo
git clone --depth 1 https://github.com/razaumair2203-ux/codex-adversarial-review-lite

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 codex-adversarial-review-lite

README.md
[![agentmods](https://agentmods.dev/badge/skills/razaumair2203-ux/codex-adversarial-review-lite/codex-adversarial-review-lite/github.svg)](https://agentmods.dev/skills/razaumair2203-ux/codex-adversarial-review-lite/codex-adversarial-review-lite)
Your own site
<a href="https://agentmods.dev/skills/razaumair2203-ux/codex-adversarial-review-lite/codex-adversarial-review-lite"><img src="https://agentmods.dev/badge/skills/razaumair2203-ux/codex-adversarial-review-lite/codex-adversarial-review-lite/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 codex-adversarial-review-lite

Your own site · 80×15
<a href="https://agentmods.dev/skills/razaumair2203-ux/codex-adversarial-review-lite/codex-adversarial-review-lite"><img src="https://agentmods.dev/badge/skills/razaumair2203-ux/codex-adversarial-review-lite/codex-adversarial-review-lite.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,619 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 $0.00037 $0.02619
Opus 5.5 $0.00015 $0.01048
Sonnet 5.5 $0.00007 $0.00524
Haiku 4.5 $0.00004 $0.00262

Measured yesterday against content hash 60ee4ba2e68c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

codex-adversarial-review-lite 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 yesterday.

The scan reads SKILL.md. This mod also ships 6 executable files (scripts/invoke-codex-review.ps1, scripts/invoke-codex-review.sh, scripts/model_selection.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/codex-adversarial-review-lite/SKILL.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Independent adversarial review

Audit first. The reviewer reports evidence; the builder validates each finding. Do not invent criticism or treat optional polish as a defect. When the evidence supports no material issue, say that no change is needed.

Invocation and settings

  • audit (default): changes and their verification evidence.
  • plan / feasibility: a proposed plan, constraints, and unresolved assumptions.
  • selftest: installed local checks; no model call. Add live-probe to verify the user's selected model/effort and synthetic review, with no repository content (account usage applies).
  • reviewer:<model>, reviewer-model:<model>, or model:<model>: explicit model. The user chooses model AND effort; there is no silently selected public default. Reuse an explicit choice from this invocation/session or a saved reviewer preference, announce it, and honor overrides. If no choice exists, ask whether the user knows which reviewer model and effort are available to them: I know my model/effort, show available choices, or automatically choose strongest/highest. For a known choice collect both settings. For uncertainty run inspect and show advertised models/efforts; availability still requires verification after choice. Wait for the answer before any generation or project-content dispatch. If the host cannot ask interactively, return selection_needed with the exact invocation options.
  • reviewer:highest reasoning:highest: optional automatic choice. Query the newest compatible installed review CLI's catalog, rank advertised capabilities, and verify access with synthetic content before sending the bundle. Explicit CLI overrides win. Never install/update a CLI, guess a dated model ID, or replace an explicit selection.
  • reasoning:<level>: user-selected effort, or explicit highest for the highest advertised level, verified by a synthetic request. This can include Codex ultra and Claude max; use capabilities from the actual CLI rather than assuming those levels exist.
  • reviewer:cli-default reasoning:cli-default: opt out of automatic selection. Explicit model/effort choices are verified without automatic replacement. Custom Codex providers require reviewer:configured (or a model ID) plus explicit effort or reasoning:cli-default; the public CLI catalog cannot rank a gateway.
  • fallback:<model>: one deliberate availability fallback for explicit model and effort settings in the legacy direct runner; the skill uses verified choices and stops on an unavailable explicit selection. Automatic selection has bounded probes.
  • test-spec:<path> / test-data:<path>: focused verification expectations/fixtures.
  • rubric:<path>: a nonempty domain checklist, included verbatim in the bundle.
  • strict: requires a rubric, human diff review for every change, and sign-off after findings before fixes. This is an explicitly selected review policy.

Read the full file on GitHub · 181 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. yesterday Changed · +10 lines 60ee4ba2e68c
  2. 27d ago Changed · -1,299 lines · +37 tokens per session a4b0d2ccfce1
  3. 2mo ago First seen · 1,470 lines · 0 tokens per session scan A fd24c3382ace

Subscribe to this mod's changes

codex-adversarial-review-lite is a skill published in the GitHub repository razaumair2203-ux/codex-adversarial-review-lite (1 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 2,619 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 2026-08-31.

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