Borrowing it
Nothing to install: this file belongs to hannsxpeter/humanizer. 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/humanizer/main/AGENTS.mdgit clone --depth 1 https://github.com/hannsxpeter/humanizerWrote 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/humanizer/agents-md)<a href="https://agentmods.dev/instructions/hannsxpeter/humanizer/agents-md"><img src="https://agentmods.dev/badge/instructions/hannsxpeter/humanizer/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/humanizer/agents-md"><img src="https://agentmods.dev/badge/instructions/hannsxpeter/humanizer/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 | $0.00682 | $0.00682 |
| Opus 5.5 | $0.00273 | $0.00273 |
| Sonnet 5.5 | $0.00136 | $0.00136 |
| Haiku 4.5 | $0.00068 | $0.00068 |
Grade A, and why
humanizer 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
humanizer (agent instructions)
This repository is the humanizer skill: a pure-prompt instruction set that
rewrites AI-sounding prose so it reads as genuinely human, and rewrites in a
specific writer's voice when a sample or profile is available. It also
conservatively cleans suspicious invisible Unicode in supplied prose. No
scripts, no dependencies, no network access. It is the entry point for any AI
coding tool that reads AGENTS.md (Codex, Google Antigravity, OpenCode, Pi,
Devin Desktop, Cline, and many others).
When to apply this skill
Apply it whenever the user wants to humanize, de-slop, de-AI, or de-robotify text; to fix writing that sounds like an LLM, corporate, salesy, generic, or "off"; to make a draft sound like them or like a named author; or to edit prose for authentic voice and rhythm. Apply it even when they do not say the word "humanize" and do not name this skill. Apply its text-hygiene pass when prose may contain zero-width characters, unusual spaces, direction controls, or copy-paste residue.
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 voice (pasted sample, named author, or a
VOICE.md/STYLE-GUIDE.mdin the working tree). No voice found means generic mode; never invent a persona. - Step 0b stance mode is off by default. Turn it on only if the user explicitly asks for more voice, edge, or opinion.
- Step 0c density pre-check: skim for dead-giveaway tells and pick a light, standard, or full pass so human-first text is not over-edited.
- Step 0d text hygiene: inspect conservatively, remove only characters with no semantic role, and preserve load-bearing Unicode.
- Multi-pass: voice injection (if a voice exists), then tell removal
against
references/tell-patterns.md(32 patterns, six families), then a self-audit againstreferences/do-not-flag.md. - Emit the exact output contract from
SKILL.md: Humanized draft / What changed / Deliberately left alone / Meaning check / 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 · +6 tokens per session 46aa696a4049
- 1mo ago First seen · 55 lines · 676 tokens per session scan A 47edf964fac8
humanizer AGENTS.md is an instructions file published in the GitHub repository hannsxpeter/humanizer (14 stars, last pushed 19d ago), licensed MIT. It adds 682 tokens to every session, about $0.0027 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.