Borrowing it
Nothing to install: this file belongs to hannsxpeter/authenticity-check. 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/hannsxpeter/authenticity-check/main/AGENTS.mdgit clone --depth 1 https://github.com/hannsxpeter/authenticity-checkWrote 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/instructions/hannsxpeter/authenticity-check/agents-md)<a href="https://agentmods.dev/instructions/hannsxpeter/authenticity-check/agents-md"><img src="https://agentmods.dev/badge/instructions/hannsxpeter/authenticity-check/agents-md/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/instructions/hannsxpeter/authenticity-check/agents-md"><img src="https://agentmods.dev/badge/instructions/hannsxpeter/authenticity-check/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00944 | $0.00944 |
| Opus 5.5 | $0.00378 | $0.00378 |
| Sonnet 5.5 | $0.00189 | $0.00189 |
| Haiku 4.5 | $0.00094 | $0.00094 |
Grade A, and why
authenticity-check AGENTS.md 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 19d 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.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
authenticity-check (agent instructions)
This repository is the authenticity-check skill: a pure-prompt instruction
set that scores how authentically a piece of text reads as the work of a real
human author and flags the spans that read as AI-generated, AI-templated, or
generically derivative. It also performs a separate read-only scan for
suspicious Unicode provenance carriers in supplied text. No scripts, no
dependencies, no network access; tools are read-only. It is the entry point
for any AI coding tool that reads
AGENTS.md (Codex, OpenCode, Antigravity, Pi, Zed, and others).
It is the evaluative counterpart to the separate humanizer skill. This one
diagnoses. It does not rewrite.
When to apply this skill
Apply it whenever the user wants to know whether a text is authentic, whether it reads like AI or like a person, how human a passage sounds, which parts sound machine-written, or whether their draft still sounds like them or a named author. Also apply it when they ask whether pasted text contains a hidden AI watermark, invisible Unicode, or provenance mark. Apply it even when they do not say "authenticity check" and even when the cue is oblique ("does this sound like a bot," "this feels generated").
Do not apply it to transformative requests (humanize, de-slop, de-AI, rewrite, fix, remove marks, make it sound like X). Those belong to a separate transformation or provenance hygiene skill, not this one.
How to run it
Read SKILL.md in this repository and follow it exactly. The full method
lives there and in references/; do not improvise a shortcut. In brief:
- Step 0 discover the baseline: if the request is "does this sound like
me / like NAME" and a voice source exists (pasted sample, named author, or
a discovered
VOICE.md/STYLE-GUIDE.md), enter voice-deviation mode; otherwise generic mode. Never invent a target voice. - Step 0a provenance preflight: inspect supplied text for suspicious
Unicode carriers, run the mandatory context audit from
references/provenance-signals.md, and keep the result separate from the authenticity score. Never alter the text. - Step 0b density pre-check: skim for dead-giveaway tells and set scrutiny low, standard, or full so human-first text is not over-flagged.
- Multi-pass: catalog scan against
references/tell-patterns.md(32 patterns, six families), then a mandatory false-positive audit againstreferences/do-not-flag.md(it has veto power and converts strong false positives into human-marker credit), then the read-only internal-consistency heuristics, then voice deviation in voice-deviation mode only. - Emit the exact output contract from
SKILL.md: Authenticity report (band plus 0-100 score) / Provenance signals / Flagged spans / Reads as human / Score basis / Caveats / Next step.
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.
- 19d ago Changed · +1 lines · +9 tokens per session 8d4d44122ebe
- 1mo ago First seen · 76 lines · 935 tokens per session scan A 8a8644f2cb6f
authenticity-check AGENTS.md is an instructions file published in the GitHub repository hannsxpeter/authenticity-check (2 stars, last pushed 19d ago), licensed MIT. It adds 944 tokens to every session, about $0.0038 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 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.