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.
npx agentmods add instructions/edwardxckf/humanizer-ms/gemini-mdgit clone --depth 1 https://github.com/edwardxckf/humanizer-msWrote 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/edwardxckf/humanizer-ms/gemini-md)<a href="https://agentmods.dev/instructions/edwardxckf/humanizer-ms/gemini-md"><img src="https://agentmods.dev/badge/instructions/edwardxckf/humanizer-ms/gemini-md.svg" alt="Measured on agentmods" 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 | $0.00065 | $0.00065 |
| Opus 5 | $0.00032 | $0.00032 |
| Sonnet 5 | $0.00013 | $0.00013 |
| Haiku 4.5 | $0.00006 | $0.00006 |
Grade A, and why
humanizer-ms GEMINI.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 4d 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.
What it actually says
humanizer-ms
Before writing, editing or approving any Malay (Bahasa Melayu) prose, follow the rules imported below in full: scan for the AI writing patterns, rewrite every hit naturally, and never invent facts the source text does not contain.
@./skills/humanizer-ms/SKILL.md
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.
- 4d ago First seen · 8 lines · 65 tokens per session scan A ba2fb9b2aeaf
humanizer-ms GEMINI.md is an instructions file published in the GitHub repository edwardxckf/humanizer-ms (2 stars, last pushed 18d ago), licensed MIT. It adds 65 tokens to every session, about $0.0003 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 2026-08-31.
Other instructions, from other repositories
avoid-ai-writing-multilingual CLAUDE.md
Claude Code instructions for jurigis/avoid-ai-writing-multilingual, covering avoid-ai-writing — multilingual skills, project structure, how to create a new language skill, step 1: research sources (web search — not from memory) and step 2: identify language-specific categories.
im-not-ai GEMINI.md
Instructions for epoko77-ai/im-not-ai, covering humanize kr — ai 한글 티 제거 (gemini cli extension), 개요, 커스텀 명령, 철칙 (위반 시 즉시 롤백) and do-not (탐지·윤문 모두 제외).
humanizer-zh-tw AGENTS.md
Instructions for nagameTW/humanizer-zh-tw, covering agents.md, 這個 repo 是什麼, 關鍵檔案, 維護契約（改東西前先讀） and 編輯 skill.md.
editorial-skill-for-natural-russian-business-writing AGENTS.md
Instructions for ValentinAvramko/editorial-skill-for-natural-russian-business-writing, covering инструкции для агента, язык и документация, границы документов, источник правды and git.
shuorenhua-zh-tw AGENTS.md
Instructions for tentenco/shuorenhua-zh-tw, covering 倉庫說明, 語言, 風格, 布局 and 協作.
shuorenhua-zh-tw CLAUDE.md
Instructions for tentenco/shuorenhua-zh-tw, a project described as: 繁體中文（臺灣）AI 味清理 Skill：去 AI 腔、清中港用語、修簡轉繁錯字、教育部標點、七種出版語體。AI humanizer skill for Traditional Chinese (Taiwan) — Claude Code / Codex / Cursor / ChatGPT.