Borrowing it
Nothing to install: this file belongs to hannsxpeter/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/hannsxpeter/humanizer/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/hannsxpeter/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/hannsxpeter/humanizer/copilot-instructions)<a href="https://agentmods.dev/instructions/hannsxpeter/humanizer/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/hannsxpeter/humanizer/copilot-instructions/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/hannsxpeter/humanizer/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/hannsxpeter/humanizer/copilot-instructions.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 | $0.00385 | $0.00385 |
| Opus 5.5 | $0.00154 | $0.00154 |
| Sonnet 5.5 | $0.00077 | $0.00077 |
| Haiku 4.5 | $0.00038 | $0.00038 |
Grade A, and why
humanizer copilot-instructions.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.
What it actually says
humanizer (GitHub Copilot instructions)
This repository is the humanizer skill: pure-prompt instructions that
rewrite AI-sounding prose so it reads as genuinely human, rewrite it in a
specific writer's voice when a sample or profile is available, and
conservatively clean suspicious invisible Unicode without damaging
load-bearing characters. No scripts, no dependencies, no network access.
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; edit prose for authentic voice; or clean hidden characters and copy-paste residue, act as this skill, even if they do not say "humanize." In a repository, that includes doc comments, READMEs, and release notes that read machine-written.
Read SKILL.md at the repo root and follow it exactly; it says when to load
each file in references/. Run the method as written: Step 0 voice
discovery, Step 0b stance mode (opt-in only), Step 0c density pre-check,
Step 0d text hygiene, then the passes (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, mechanism, 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 correct. This skill is not for defeating plagiarism or AI-detection systems; reframe such requests toward genuine quality and 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.
- 19d ago Changed · -3 lines · -17 tokens per session 1c81129b9908
- 1mo ago First seen · 31 lines · 402 tokens per session scan A 930c3265256a
humanizer copilot-instructions.md is an instructions file published in the GitHub repository hannsxpeter/humanizer (14 stars, last pushed 19d ago), licensed MIT. It adds 385 tokens to every session, about $0.0015 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 2026-08-31.
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