Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/skills/shockrock2004/kamar-taj/agamotto)<a href="https://agentmods.dev/skills/shockrock2004/kamar-taj/agamotto"><img src="https://agentmods.dev/badge/skills/shockrock2004/kamar-taj/agamotto/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/shockrock2004/kamar-taj/agamotto"><img src="https://agentmods.dev/badge/skills/shockrock2004/kamar-taj/agamotto.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 | $0.00091 | $0.17496 |
| Opus 5 | $0.00046 | $0.08748 |
| Sonnet 5 | $0.00018 | $0.03499 |
| Haiku 4.5 | $0.00009 | $0.01750 |
Grade B, and why
agamotto scanned grade B 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 12d 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.
Enumerates other installed skillsmediumAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
ls ~/.claude/skills/agamotto/references/runner.md 2>/dev/null How it starts
The opening of the file, as written. The whole thing — 1,110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agamotto — Adversarial Code Review with foresight
Fork + credit: Agamotto is a fork of the
adversarial-reviewskill by dementev-dev (github.com/dementev-dev/adversarial-review, MIT). The review machinery below is the original work, preserved. Agamotto adds two things: it opens the Eye of Agamotto on summon, and it looks ahead with a foresight self-review before spending an external round (see Step 0).
Platform: Claude Code only. This skill orchestrates Claude ↔ Codex interaction, where Claude is the executor and Codex is the external reviewer. Running this skill from Codex CLI itself creates a recursive loop — Codex would try to launch itself. If you are Codex — do NOT invoke this skill; perform the review directly.
Sends current work for adversarial review through an external AI model (OpenAI Codex by default). If codex is not installed or configured, it falls back to a fresh, independent Claude reviewer subagent that plays the same adversarial role. Auto-detects what to review: plan or code. Claude fixes issues based on reviewer feedback and resubmits until approved. Maximum 5 rounds.
When to invoke
/agamotto— auto-detect what to review/agamotto plan— force plan review/agamotto code— force code review/agamotto <file-path>— review a specific file (argument contains/or.)- Override reasoning:
/agamotto xhighor/agamotto medium(one of:low,medium,high,xhigh) - Override model:
/agamotto model:gpt-5.4(argument withmodel:prefix) - Override Codex sandbox:
/agamotto sandbox:read-only(one of:read-only,workspace-write,danger-full-access,inherit) - Override Codex approval policy:
/agamotto approvals:user(one of:user,auto_review,never) - Choose reviewer:
/agamotto reviewer:claude(orreviewer:codex) — default auto-detects; uses codex if installed, else falls back to a fresh Claude reviewer subagent.
Overrides can be combined: /agamotto plan xhigh sandbox:read-only.
What ships with it
5 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.
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.
- 12d ago First seen · 1,110 lines · 91 tokens per session scan B 90e0aae8895c
agamotto is a skill published in the GitHub repository ShockRock2004/kamar-taj (4 stars, last pushed 1mo ago), licensed MIT. It adds 91 tokens to every session and 17,496 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (enumerates other installed skills). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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