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/hannsxpeter/humanizer/gemini-mdgit clone --depth 1 https://github.com/hannsxpeter/humanizerWhat 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 | $0.00386 | $0.00386 |
| Opus 5 | $0.00193 | $0.00193 |
| Sonnet 5 | $0.00077 | $0.00077 |
| Haiku 4.5 | $0.00039 | $0.00039 |
Grade A, and why
humanizer 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 3d 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 (Gemini CLI context)
This repository is the humanizer skill: pure-prompt instructions that
rewrite AI-sounding prose so it reads as genuinely human, and rewrite in a
specific writer's voice when a sample or profile is available. It also
clean suspicious invisible Unicode in supplied prose without damaging
load-bearing characters. No scripts, no network.
When the user wants to humanize, de-slop, de-AI, or de-robotify text; fix writing that sounds like an LLM, corporate, salesy, generic, or "off"; make a draft sound like them or a named author; or edit prose for authentic voice, act as this skill, even if they do not say "humanize." Apply its text-hygiene pass when prose may contain invisible characters or copy-paste residue.
Read SKILL.md at the repo root and follow it exactly, along with
references/tell-patterns.md (32 patterns, six families) and
references/do-not-flag.md. Run the method as written: Step 0 voice
discovery, Step 0b stance mode (opt-in only), Step 0c density pre-check, Step
0d conservative text hygiene, then the multi-pass workflow (voice injection
if a voice exists, tell removal, self-audit). Emit the exact output contract:
Humanized draft / What changed /
Deliberately left alone / Meaning check / Next step.
Hard rule: never add a fact, number, date, name, quote, cause, or example the source did not contain. A fluent fabrication is worse than vague prose. Preserve specific details and genuine human quirks; minimal edits on already-human text are the correct outcome. This skill is not for defeating AI-detection systems; reframe such requests toward quality and authentic voice.
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.
- 3d ago First seen · 30 lines · 386 tokens per session scan A 4bbe5ad1cacb
humanizer GEMINI.md is an instructions file published in the GitHub repository hannsxpeter/humanizer (7 stars, last pushed 18d ago), licensed MIT. It adds 386 tokens to every session, about $0.0019 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
authenticity-check AGENTS.md
Instructions for hannsxpeter/authenticity-check, covering authenticity-check (agent instructions), when to apply this skill, how to run it, hard rule (diagnostic only) and scope.
authenticity-check copilot-instructions.md
Instructions for hannsxpeter/authenticity-check: This repository is the authenticity-check skill: pure-prompt instructions that score how authentically a piece of text reads as the work of a real human author and flag the spans that read as AI-generated, AI-templated, or generically derivative, plus suspicious Unicode…
authenticity-check GEMINI.md
Instructions for hannsxpeter/authenticity-check: This repository is the authenticity-check skill: pure-prompt instructions that score how authentically a piece of text reads as the work of a real human author and flag the spans that read as AI-generated, AI-templated, or generically derivative, plus suspicious Unicode…
vale-ai-tells CLAUDE.md
Instructions for tbhb/vale-ai-tells, covering claude code instructions, project overview, repository structure, development workflow and rule conventions.
vale-ai-tells AGENTS.md
Instructions for tbhb/vale-ai-tells, covering agent instructions, commit messages, prose lint output and drafting a document.
humanizer-skill AGENTS.md
AGENTS.md instructions for Aboudjem/humanizer-skill, covering agents.md — humanizer skill, what this repo is, file map, how to install the skill and how to invoke the skill.