react-doctor: Skill for Codex

.agents/skills/benchmark-fp-fn-audit/SKILL.md

benchmark-fp-fn-audit is a skill for Codex from millionco/react-doctor. It costs 78 tokens per session (1,736 once invoked), scanned A, original, no licence file.

An audit workflow for comparing React Doctor diagnostics with ReactBench or similar collections of diagnostic examples. It checks warnings that should or should not have appeared and gaps in their categories.

In plain words
What is it for?
Use it to analyse false positives, missed issues, category gaps, verifier artifacts, logs, patches, and test results.
Why use it?
It helps distinguish real detector mistakes from problems in the test data or verification process.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

This is millionco/react-doctor's own configuration. It tells Codex how to work on react-doctor 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 react-doctor configures →

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /home/aidenybai/Developer/react-bench-internal/jobs/ReactBench-v1.1-beta-rd-0.9.3-consolidated-final-20260801.

Part of the react-doctor plugin — 16 skills shipped together

Reuse

Borrowing it

Nothing to install: this file belongs to millionco/react-doctor. 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/millionco/react-doctor/main/.agents/skills/benchmark-fp-fn-audit/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/millionco/react-doctor

Made for: Codex.

Or install react-doctor, the plugin that ships this one along with the rest of its 16 skills.

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 benchmark-fp-fn-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/millionco/react-doctor/benchmark-fp-fn-audit/github.svg)](https://agentmods.dev/skills/millionco/react-doctor/benchmark-fp-fn-audit)
Your own site
<a href="https://agentmods.dev/skills/millionco/react-doctor/benchmark-fp-fn-audit"><img src="https://agentmods.dev/badge/skills/millionco/react-doctor/benchmark-fp-fn-audit/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 benchmark-fp-fn-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/millionco/react-doctor/benchmark-fp-fn-audit"><img src="https://agentmods.dev/badge/skills/millionco/react-doctor/benchmark-fp-fn-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,736 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.
Origin unknown 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 $0.00078 $0.01736
Opus 5 $0.00039 $0.00868
Sonnet 5 $0.00016 $0.00347
Haiku 4.5 $0.00008 $0.00174

Measured 9d ago against content hash 6b0a27d7d148, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

benchmark-fp-fn-audit 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 9d 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/benchmark-fp-fn-audit/SKILL.md · 181 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 181 lines · 78 tokens per session scan A 6b0a27d7d148

Subscribe to this mod's changes

benchmark-fp-fn-audit is a skill published in the GitHub repository millionco/react-doctor (14,753 stars, last pushed today), with no licence file. It adds 78 tokens to every session and 1,736 once invoked, about $0.0004 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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