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.
npx skills add razaumair2203-ux/codex-adversarial-review-lite --skill codex-adversarial-review-litegit clone --depth 1 https://github.com/razaumair2203-ux/codex-adversarial-review-liteWrote 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.
[](https://agentmods.dev/skills/razaumair2203-ux/codex-adversarial-review-lite/codex-adversarial-review-lite)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.
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. Addlive-probeto verify the user's selected model/effort and synthetic review, with no repository content (account usage applies).reviewer:<model>,reviewer-model:<model>, ormodel:<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 runinspectand 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, returnselection_neededwith 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 explicithighestfor the highest advertised level, verified by a synthetic request. This can include Codexultraand Claudemax; 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 requirereviewer:configured(or a model ID) plus explicit effort orreasoning: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.
What ships with it
12 files 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.
- references/bundle-template.md 1.6 KB
- references/protocol.md 151 B
- references/review-schema.json 2.5 KB
- references/reviewer-prompt.md 3.4 KB
- references/runner.md 13 KB
- references/sample-audit-report.html 6.4 KB
- scripts/invoke-codex-review.ps1 1.3 KB runs code
- scripts/invoke-codex-review.sh 873 B runs code
- scripts/model_selection.py 12 KB runs code
- scripts/review_runner.py 46 KB runs code
- scripts/selftest.ps1 259 B runs code
- scripts/selftest.sh 490 B runs code
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.
- yesterday Changed · +10 lines 60ee4ba2e68c
- 27d ago Changed · -1,299 lines · +37 tokens per session a4b0d2ccfce1
- 2mo ago First seen · 1,470 lines · 0 tokens per session scan A fd24c3382ace
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.
codex-adversarial-review-lite compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| codex-adversarial-review-literazaumair2203-ux/codex-adversarial-review-lite | Skill | 1 | 2d ago | MIT | A | 37 | Claude Code |
| deep-reviewJmosier69/refute | Skill | 9 | 2mo ago | MIT | A | 97 | Claude Code |
| architect-revieweugenelim/agent-ready-repo | Skill | 28 | yesterday | Apache-2.0 | A | 171 | Claude Code |
| github-preugenelim/agent-ready-repo | Skill | 28 | yesterday | Apache-2.0 | A | 124 | Claude Code |
| agent-review-panelwan-huiyan/agent-review-panel | Skill | 36 | 1mo ago | MIT | A | 328 | Claude Code |
| Test Assertion Effectiveness 常に PASS するテストの検出s977043/river-review | Skill | 7 | today | MIT | A | 367 | Claude Code |
| unknown-coverage-reviews977043/river-review | Skill | 7 | today | MIT | A | 175 | Claude Code |