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.
git clone --depth 1 https://github.com/paruff/uFawkesAIWrote 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/commands/paruff/ufawkesai/review-agents)<a href="https://agentmods.dev/commands/paruff/ufawkesai/review-agents"><img src="https://agentmods.dev/badge/commands/paruff/ufawkesai/review-agents/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/commands/paruff/ufawkesai/review-agents"><img src="https://agentmods.dev/badge/commands/paruff/ufawkesai/review-agents.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 | $0.00012 | $0.00083 |
| Opus 5.5 | $0.00005 | $0.00033 |
| Sonnet 5.5 | $0.00002 | $0.00017 |
| Haiku 4.5 | $0.00001 | $0.00008 |
Grade A, and why
review-agents 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 14d 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
Dispatch review subagents with BASE_SHA and HEAD_SHA.
Reviewer output must include: Strengths, Issues (Critical/Important/Minor), and Assessment.
Focus on correctness, requirements fulfillment, edge cases, security, and test coverage.
Run security, correctness, and coverage reviewers in parallel when possible.
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.
- 14d ago Changed e3dd8d1f9b3e
- 15d ago First seen · 9 lines · 12 tokens per session scan A 2199766abe0c
review-agents is a command published in the GitHub repository paruff/uFawkesAI (2 stars, last pushed today), licensed MIT. It adds 12 tokens to every session and 83 once invoked, about $0.0000 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 2026-09-27.
Other commands, from other repositories
cross-review
../../workflows/cross-review.md.
diff-review
Generate a visual diff review for code changes.
implement-review
Implement a tracked task, simplify it, independently verify acceptance criteria, and close only after integration requirements hold.
final-review
Orchestrate the final review fan-out (integration + diversity + risk + release readiness).
deslop
Check the diff against main and remove all AI-generated slop introduced in this branch.
adr-review
Run the workflow in docs/playbooks/adr-review.md. You review only — never write or rewrite the ADR for me. Check problem framing, option fairness, trade-offs and consequences, reversibility, the revisit trigger, and weak reasoning. Give pointed questions and concrete suggestions; I write the words. If it supersedes an…