fallow: Skill for Claude Code

.agents/skills/conformance-loop/SKILL.md

conformance-loop is a skill for Claude Code, Codex from fallow-rs/fallow. It costs 28 tokens per session (190 once invoked), scanned A, original, MIT.

A repeatable process for improving Fallow's code analysis by comparing its results with other tools and verified source code.

In plain words
What is it for?
It is for building a stable test corpus, checking disagreements, classifying results, adding regression tests, and rerunning the full comparison.
Why use it?
It helps distinguish real analysis errors from differences between tools, so fixes improve accuracy without introducing regressions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is fallow-rs/fallow's own configuration. It tells Claude Code and Codex how to work on fallow itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything fallow configures →

About the project

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.

fallow-rs/fallow · 5,139 stars · on GitHub · docs.fallow.tools

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/fallow-rs/fallow/main/.agents/skills/conformance-loop/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/fallow-rs/fallow

Made for: Claude Code, Codex.

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.

agentmods badge for conformance-loop

README.md
[![agentmods](https://agentmods.dev/badge/skills/fallow-rs/fallow/conformance-loop/github.svg)](https://agentmods.dev/skills/fallow-rs/fallow/conformance-loop)
Your own site
<a href="https://agentmods.dev/skills/fallow-rs/fallow/conformance-loop"><img src="https://agentmods.dev/badge/skills/fallow-rs/fallow/conformance-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.

agentmods 80×15 button for conformance-loop

Your own site · 80×15
<a href="https://agentmods.dev/skills/fallow-rs/fallow/conformance-loop"><img src="https://agentmods.dev/badge/skills/fallow-rs/fallow/conformance-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 190 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00028 $0.00190
Opus 5.5 $0.00011 $0.00076
Sonnet 5.5 $0.00006 $0.00038
Haiku 4.5 $0.00003 $0.00019

Measured 1mo ago against content hash 19f7ee89183f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

conformance-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 1mo 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.

.agents/skills/conformance-loop/SKILL.md · 21 lines

What it actually says

Conformance loop

  1. Define the capability and stable project corpus.
  2. Run Fallow and comparison tools with documented equivalent settings.
  3. Manually verify disagreements against source.
  4. Classify true positive, false positive, false negative, or model difference.
  5. Record the classification in tests/conformance/adjudications.json before writing the fix. A verdict that lives only in a session or in .plans/ is lost, and the daily lane then re-reports the same disagreement as unadjudicated forever.
  6. Implement one general correction with a regression fixture.
  7. Re-run the full corpus and retain only net improvements.
  8. Run review.

Competitor output is a lead, not ground truth.

Changes

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.

  1. 1mo ago Changed · +4 lines 19f7ee89183f
  2. 1mo ago First seen · 17 lines · 28 tokens per session scan A c1a3cc5f7519

Subscribe to this mod's changes

conformance-loop is a skill published in the GitHub repository fallow-rs/fallow (5,139 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 190 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.