Fallow is a command-line static-analysis tool that builds a dependency graph of TypeScript and JavaScript code to identify unused code, duplication, circular dependencies, complexity hotspots, boundary violations, and styling drift. It is for developers reviewing codebases and verifying changes, with catalogue entries that add agent, editor, and workflow integrations.
Borrowing it
Nothing to install: this file belongs to fallow-rs/fallow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/fallow-rs/fallow/main/.agents/skills/panel-review-loop/SKILL.mdgit 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/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/fallow-rs/fallow/panel-review-loop"><img src="https://agentmods.dev/badge/skills/fallow-rs/fallow/panel-review-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00028 | $0.00203 |
| Opus 5.5 | $0.00011 | $0.00081 |
| Sonnet 5.5 | $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 2mo 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.
- 2mo 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 (5,273 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 203 once invoked, about $0.0001 per session on Opus 5.5. 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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