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 agentmods add instructions/robertoecf/adversarial-review/agents-mdgit clone --depth 1 https://github.com/robertoecf/adversarial-reviewWrote 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/instructions/robertoecf/adversarial-review/agents-md)<a href="https://agentmods.dev/instructions/robertoecf/adversarial-review/agents-md"><img src="https://agentmods.dev/badge/instructions/robertoecf/adversarial-review/agents-md.svg" alt="Measured on agentmods" 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 | $0.01463 | $0.01463 |
| Opus 5 | $0.00732 | $0.00732 |
| Sonnet 5 | $0.00293 | $0.00293 |
| Haiku 4.5 | $0.00146 | $0.00146 |
Grade A, and why
adversarial-review AGENTS.md 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md: review agent guidelines (host-agnostic)
Plugin architecture
This plugin implements a single principle:
The partner reviews, never the host.
For every review (plan, code, or prompt — all through the single adversarial-review skill):
- The agent reading the SKILL.md is the host.
- The host must not review the host's own work.
- The host runs
lib/call-external.shto delegate the heavy critique to the OTHER agent (the partner). - The host then runs its own independent analysis and cross-validates
against the partner's output, tagging findings as
[cross-validated],[external-only], or[host-only].
There is no haiku courier subagent in this version. The host (main session) does both the external dispatch and the synthesis. Removed in the 0.5.0 refactor: the courier added complexity (model inconsistency across files, blocking-vs-non-blocking ambiguity) without proportionate value.
Cross-host routing
| Detected host | Partner |
|---|---|
claude |
Code: direct-xAI Grok 4.5, Codex Luna max, Pi. Plan: Codex Luna max, direct-xAI Grok 4.5, Pi. Then Antigravity |
codex |
Author-aware: Codex-authored work goes to Pi Grok first; Grok-authored work goes to Codex Luna max first. Omitted plan author infers Codex; omitted code author infers Grok |
grok |
Codex GPT-5.6 Luna max, then Claude, non-xAI Pi (DeepSeek then Kimi, never Grok), and the Antigravity ladder |
pi |
Codex GPT-5.6 Luna max, then Claude, direct xAI, and the Antigravity ladder |
unknown |
Direct xAI, then Pi, then the Antigravity ladder |
Detection happens at every invocation via lib/detect-host.sh. See
references/host-detection.md for the priority order and the env-leak
asymmetry that drives "Codex env first, Claude env second".
Codex-host callers should set ADVERSARIAL_REVIEW_AUTHOR to codex, grok,
claude, pi, user, or unknown. Aliases sol, openai, xai, and
anthropic are accepted case-insensitively. Unknown authors use Luna first,
then Claude and the non-xAI Pi chain.
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.
- 4d ago First seen · 108 lines · 1,463 tokens per session scan A a6c399c6fe32
adversarial-review AGENTS.md is an instructions file published in the GitHub repository robertoecf/adversarial-review (8 stars, last pushed 21d ago), licensed MIT. It adds 1,463 tokens to every session, about $0.0073 per session on Opus 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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codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.