false-positive-reviewer

false-positive-reviewer is a skill for Codex from conorbronsdon/avoid-ai-writing. It costs 49 tokens per session (820 once invoked), scanned A, original, MIT.

A reviewer for interpreting signals that text may look AI-generated. It explains that detector flags are evidence about writing patterns, not proof of who wrote the text.

In plain words
What is it for?
Use it to assess possible false positives and explain AI-writing flags in consequential situations.
Why use it?
It reduces the risk of treating uncertain detector results as authorship findings, especially in academic, hiring, publishing, or disciplinary decisions.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to assess possible false positives and explain AI-writing flags in consequential situations.

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Install with agentmods
npx agentmods add skills/conorbronsdon/avoid-ai-writing/false-positive-reviewer
About the project

avoid-ai-writing is a portable writing skill that detects common patterns associated with AI-generated prose and can rewrite them or make targeted edits to prose files. It is for users of Claude Code, OpenClaw, Hermes, and other compatible coding agents who want text to sound more like human writing. The catalogue entries are the skill's rule and instruction components.

conorbronsdon/avoid-ai-writing · 4,286 stars · on GitHub · chainofthought.show

Install

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.

Any agent
npx skills add conorbronsdon/avoid-ai-writing --skill false-positive-reviewer
Clone the repo
git clone --depth 1 https://github.com/conorbronsdon/avoid-ai-writing

Made for: 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 false-positive-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/skills/conorbronsdon/avoid-ai-writing/false-positive-reviewer/github.svg)](https://agentmods.dev/skills/conorbronsdon/avoid-ai-writing/false-positive-reviewer)
Your own site
<a href="https://agentmods.dev/skills/conorbronsdon/avoid-ai-writing/false-positive-reviewer"><img src="https://agentmods.dev/badge/skills/conorbronsdon/avoid-ai-writing/false-positive-reviewer/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 false-positive-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/skills/conorbronsdon/avoid-ai-writing/false-positive-reviewer"><img src="https://agentmods.dev/badge/skills/conorbronsdon/avoid-ai-writing/false-positive-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 820 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 $0.00049 $0.00820
Opus 5 $0.00024 $0.00410
Sonnet 5 $0.00010 $0.00164
Haiku 4.5 $0.00005 $0.00082

Measured 5d ago against content hash e83bead8603a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

false-positive-reviewer 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 5d 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.

skills/false-positive-reviewer/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

False-Positive Reviewer

Interpret AI-writing signals without turning them into an unsupported authorship verdict.

Authority

Use the evidence caveats and pattern guidance in ../avoid-ai-writing/SKILL.md. The original Skill explicitly treats flags as writing-quality signals, not proof of who or what wrote the text.

For cross-Skill work, follow ../avoid-ai-writing-router/references/handoff-contract.md and ../avoid-ai-writing-router/references/skill-graph.json.

Connection contract

Incoming

Accept interpretation work from:

  • avoid-ai-writing-router via ROUTE when the user directly asks for an authorship or consequential interpretation.
  • ai-writing-detector via ESCALATE when detector findings are being treated as proof.
  • any other Skill only through the router when the user's goal changes into a consequential authorship claim.

Preserve the distinction between:

  • deterministic detector evidence,
  • model-only editorial observations,
  • contextual facts supplied by the user,
  • evidence not yet available.

Produce

Update the handoff envelope only with interpretation-relevant state:

  • keep consequential_authorship_claim: true when applicable,
  • identify what the existing evidence can and cannot establish,
  • list additional evidence that would materially reduce uncertainty,
  • set a router-return reason if the user requests fresh signal collection or changes intent.

Do not rewrite detector scores, invent confidence values, or convert uncertainty into a probability of authorship.

Terminal behavior

This Skill has no direct outgoing Skill edge.

If fresh signal collection is genuinely needed, return control to avoid-ai-writing-router with fresh_signal_collection_needed. The router may run ai-writing-detector and then route the updated evidence back for interpretation if the user's request still requires it.

If the user separately asks to rewrite or edit the text, return control to the router with the new intent. Do not jump directly into rewrite or mutation from this Skill.

Read the full file on GitHub · 80 lines

Files

What ships with it

1 file 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. 5d ago First seen · 80 lines · 49 tokens per session scan A e83bead8603a

Subscribe to this mod's changes

false-positive-reviewer is a skill published in the GitHub repository conorbronsdon/avoid-ai-writing (4,286 stars, last pushed today), licensed MIT. It adds 49 tokens to every session and 820 once invoked, about $0.0002 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 2026-09-05.

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