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 skills add CHENyiru3/AI-Skills-Collections --skill humanizergit clone --depth 1 https://github.com/CHENyiru3/AI-Skills-CollectionsWrote 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/skills/chenyiru3/ai-skills-collections/humanizer)<a href="https://agentmods.dev/skills/chenyiru3/ai-skills-collections/humanizer"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/humanizer/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/skills/chenyiru3/ai-skills-collections/humanizer"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/humanizer.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 | $0.00097 | $0.01103 |
| Opus 5.5 | $0.00039 | $0.00441 |
| Sonnet 5.5 | $0.00019 | $0.00221 |
| Haiku 4.5 | $0.00010 | $0.00110 |
Grade A, and why
humanizer 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 6d 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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Humanizer
Make prose sound written by a person without changing what it means.
Use this skill for cleanup, not for every writing task. The goal is to remove high-signal AI patterns, restore natural rhythm, and preserve the right voice for the genre.
When to use this skill
Use humanizer when the user:
- asks to humanize, naturalize, de-AI, or de-corporatize text
- says the writing sounds robotic, stiff, bland, generic, or unlike them
- wants a cleanup pass after drafting
- pastes prose full of obvious AI tells, inflated tone, or repetitive structure
You may also use it without explicit request when the text is clearly:
- overstuffed with AI vocabulary or corporate phrasing
- rhythmically flat
- padded with fake significance, vague authority, or formulaic transitions
When not to use this skill
Do not treat this as the default for all prose generation.
Do not use it to:
- inject personality into formal or citation-bound writing by default
- make accurate technical or legal text less precise
- replace
academic-writing-editorfor manuscript structure or argument flow - introduce slang, humor, or first-person voice unless the genre supports it
Workflow
1. Identify the mode
Choose one:
- Academic mode: manuscript, abstract, methods, results, discussion, literature review, reviewer response, technical note, grant prose
- General prose mode: email, blog post, memo, essay, marketing copy, social post, proposal, documentation, cover letter
If this is academic writing, use academic-writing-editor first for structure
and claim discipline, then use humanizer as the final cleanup pass.
2. Diagnose before rewriting
Determine which failure mode dominates:
- Vocabulary tells: AI words, hedges, corporate jargon, fake intensity
- Structure tells: repetitive sentence shape, participial trailers, rigid paragraph logic, lists of three everywhere
- Voice tells: neutralized tone, generic enthusiasm, no point of view, inappropriate smoothness
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 161 lines · 97 tokens per session scan A f13d7898264b
humanizer is a skill published in the GitHub repository CHENyiru3/AI-Skills-Collections (1 stars, last pushed 7d ago), licensed MIT. It adds 97 tokens to every session and 1,103 once invoked, about $0.0004 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 2026-10-02.
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