Humanizer is an agent skill that rewrites text with signs of AI-generated writing so it reads more like a person wrote it while preserving its meaning and factual details. It is for people editing prose in files or from pasted text, and its catalogue entry provides the skill and related agent configuration.
Borrowing it
Nothing to install: this file belongs to blader/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/blader/humanizer/main/AGENTS.mdgit clone --depth 1 https://github.com/blader/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/blader/humanizer/agents-md)<a href="https://agentmods.dev/instructions/blader/humanizer/agents-md"><img src="https://agentmods.dev/badge/instructions/blader/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/blader/humanizer/agents-md"><img src="https://agentmods.dev/badge/instructions/blader/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 | $0.00752 | $0.00752 |
| Opus 5.5 | $0.00301 | $0.00301 |
| Sonnet 5.5 | $0.00150 | $0.00150 |
| Haiku 4.5 | $0.00075 | $0.00075 |
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.
Guide for agents
This file explains how to change Humanizer without breaking its package or prompt.
What this repo contains
Humanizer is an agent skill written in Markdown. SKILL.md is the prompt that agents read. The repo has no build step.
Keep the skill portable. Do not write instructions that limit it to one or two agent tools.
Key files
SKILL.mdis the source of truth and the repo's only skill file. It contains portable YAML metadata, an account of why AI text sounds the way it does, and numbered patterns grouped in six sections and ordered by strength and frequency.README.mdexplains installation, use, and patterns.CHANGELOG.mdholds the release notes, newest first. Old notes keep the pattern numbers their release used..claude-plugin/plugin.jsondescribes the Claude plugin and points its skill loader at the rootSKILL.md..claude-plugin/marketplace.jsonlets users add this repo as a Claude marketplace..cursor-plugin/plugin.jsondescribes the Cursor plugin. Omit askillspath so Cursor loads the rootSKILL.md.agents/openai.yamlholds the display name, short description, and default prompt for OpenAI-compatible agents.scripts/validate-package.pychecks package files and shared values.
Rules for changes
Keep SKILL.md and README.md in sync.
- Patterns: Patterns are numbered from 1 without gaps, strongest and most frequent first. A new tell earns a pattern only when no existing pattern already implies it; prefer folding it into an existing pattern. If you add, remove, or renumber a pattern, update the README tables, the README section title, and every §reference. The validator derives the count from the headings and checks that README pattern names match them.
- Version: Keep the same version in
SKILL.mdundermetadata.version, the firstCHANGELOG.mdheading,.claude-plugin/plugin.json, and.cursor-plugin/plugin.json. Do not add a top-levelversionfield to the skill. - Compatibility: Keep install and use instructions neutral across agents. Names such as Claude Code, Cursor, OpenCode, and Codex are examples, not limits.
- Description: The plugin manifests use the first sentence of the
SKILL.mddescription. - Length: Every word of
SKILL.mdis read on each use. The validator caps it at 5,500 words; a change that adds words should earn them. - History: Add a short
CHANGELOG.mdnote for any behavior change or non-obvious fix. - Checks: Before publishing, run
python3 scripts/validate-package.py,npx skills add . --list, andclaude plugin validate ..
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 · +4 lines · +130 tokens per session de84a449da40
- 1mo ago Changed · +1 lines · +81 tokens per session 8f5069d68622
- 1mo ago First seen · 50 lines · 541 tokens per session scan A 331911dd8b10
humanizer AGENTS.md is an instructions file published in the GitHub repository blader/humanizer (57,894 stars, last pushed yesterday), licensed MIT. It adds 752 tokens to every session, about $0.0030 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.
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).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.