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 skills/fallow-rs/fallow/panel-review-loopnpx skills add fallow-rs/fallow --skill panel-review-loopgit clone --depth 1 https://github.com/fallow-rs/fallowWrote 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/fallow-rs/fallow/panel-review-loop)<a href="https://agentmods.dev/skills/fallow-rs/fallow/panel-review-loop"><img src="https://agentmods.dev/badge/skills/fallow-rs/fallow/panel-review-loop.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 | $0.00028 | $0.00203 |
| Opus 5 | $0.00014 | $0.00102 |
| Sonnet 5 | $0.00006 | $0.00041 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
panel-review-loop 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.
What it actually says
Panel review loop
The real-world corpus is intentionally untracked. Before its first use, follow
the benchmark setup and run
npm --prefix benchmarks run download-fixtures.
- Define the user-visible surface and success criteria.
- Select representative projects from
benchmarks/fixtures/real-world/. - Capture actual output for each project.
- Run
panel-reviewon the evidence, not on an intended answer. - Implement the smallest coherent improvement that addresses consensus.
- Re-run the same corpus and compare behavior.
- Stop when the panel has no blocks and further changes do not materially improve the surface.
Keep the corpus stable across iterations. Preserve output contracts unless the plan explicitly approves a versioned change.
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 · 23 lines · 28 tokens per session scan A 344e5f5d513b
panel-review-loop is a skill published in the GitHub repository fallow-rs/fallow (4,443 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 203 once invoked, about $0.0001 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 2026-08-30.
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