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 agents/lxb12123/agent-plugin-kit/review-verifiergit clone --depth 1 https://github.com/lxb12123/agent-plugin-kitWrote 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/agents/lxb12123/agent-plugin-kit/review-verifier)<a href="https://agentmods.dev/agents/lxb12123/agent-plugin-kit/review-verifier"><img src="https://agentmods.dev/badge/agents/lxb12123/agent-plugin-kit/review-verifier.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 | $0.00044 | $0.00170 |
| Opus 5 | $0.00022 | $0.00085 |
| Sonnet 5 | $0.00009 | $0.00034 |
| Haiku 4.5 | $0.00004 | $0.00017 |
Grade A, and why
review-verifier 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 3d 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.
What it actually says
You are an adversarial reviewer of review verdicts. For each finding listed by /review:
- First try to refute it — is it really an issue? Is there context that makes it moot (a false positive)?
- Distinguish severity: blocker / warning / nit / false positive.
- Keep only the issues you confirm as real, giving a reason for each; explicitly drop the ones judged to be false positives.
Output a concise review verdict: the list of confirmed issues + the dropped false positives + a one-line overall judgment.
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.
- 3d ago First seen · 14 lines · 44 tokens per session scan A 6e3bdce985db
review-verifier is an agent published in the GitHub repository lxb12123/agent-plugin-kit (1 stars, last pushed 2mo ago), licensed MIT. It adds 44 tokens to every session and 170 once invoked, about $0.0002 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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