humanizer AGENTS.md

A set of repository instructions for coding agents working on the Humanizer project. It explains the project files, change rules, writing style, and how to keep related documentation and version details consistent.

In plain words
What is it for?
Use it when editing Humanizer's skill file, README, plugin metadata, numbered patterns, or validation script.
Why use it?
It gives an agent the project-specific context and constraints needed to change the repository without breaking its package or prompts.

Instructions file for CodexOpenCode

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.

agentmods
npx agentmods add instructions/blader/humanizer/agents-md
Clone the repo
git clone --depth 1 https://github.com/blader/humanizer

Made for: Codex, OpenCode.

Per session 541 This file is loaded in full into every session.
When invoked 541 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00541 $0.00541
Opus 5 $0.00270 $0.00270
Sonnet 5 $0.00108 $0.00108
Haiku 4.5 $0.00054 $0.00054

Measured yesterday against content hash 331911dd8b10, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 yesterday.

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.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 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.md is the source of truth and the repo's only skill file. It contains portable YAML metadata, 35 numbered patterns, and their examples.
  • README.md explains installation, use, patterns, and version history.
  • .claude-plugin/plugin.json describes the Claude plugin and points its skill loader at the root SKILL.md.
  • .claude-plugin/marketplace.json lets users add this repo as a Claude marketplace.
  • scripts/validate-package.py checks package files and shared values.

Rules for changes

Keep SKILL.md and README.md in sync.

  • Patterns: The skill has 35 numbered patterns. If you add, remove, or renumber a pattern, update the README table, heading, validator, and every pattern reference.
  • Version: Keep the same version in SKILL.md under metadata.version, the first README version entry, and .claude-plugin/plugin.json. Do not add a top-level version field to the skill.
  • Compatibility: Keep install and use instructions neutral across agents. Names such as Claude Code, OpenCode, and Codex are examples, not limits.
  • History: Add a short README version note for any behavior change or non-obvious fix.
  • Checks: Before publishing, run python3 scripts/validate-package.py, npx skills add . --list, and claude plugin validate ..

Writing style

Use Plain Language in code comments, prompts, documentation, descriptions, validation messages, and progress reports.

  • Lead with the main point.
  • Use common words and active voice.
  • Keep sentences and paragraphs short.
  • Use one term for the same item.
  • Use must for requirements.
  • Use headings, lists, and tables when they help the reader.
  • Remove repeated or unnecessary words.
  • Limit acronyms and explain technical terms.
  • Avoid double negatives.
  • Keep exact identifiers, commands, paths, schema fields, quotations, watched phrases, and behavior-bearing examples.
  • Keep the full technical meaning.

Read the full file on GitHub · 50 lines

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. yesterday First seen · 50 lines · 541 tokens per session scan A 331911dd8b10

Subscribe to this mod's changes

humanizer AGENTS.md is an instructions file published in the GitHub repository blader/humanizer (38,958 stars, last pushed 13d ago), licensed MIT. It adds 541 tokens to every session, about $0.0027 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.