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 skyfox675/agents-skills --skill humanizergit clone --depth 1 https://github.com/skyfox675/agents-skillsWrote 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/skyfox675/agents-skills/humanizer)<a href="https://agentmods.dev/skills/skyfox675/agents-skills/humanizer"><img src="https://agentmods.dev/badge/skills/skyfox675/agents-skills/humanizer.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 5.1 | $0.00087 | $0.00410 |
| Opus 5 | $0.00044 | $0.00205 |
| Sonnet 5 | $0.00017 | $0.00082 |
| Haiku 4.5 | $0.00009 | $0.00041 |
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 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 (pointer skill)
Pointer skill — the implementation is not stored here. The name above is the stable local contract; the body lives upstream and is fetched/installed from source so consumers always get the latest version.
- Canonical source: https://github.com/blader/humanizer/blob/main/SKILL.md
- Raw SKILL.md: https://raw.githubusercontent.com/blader/humanizer/main/SKILL.md
- What it does: Identifies and rewrites statistical patterns common to LLM output, replacing them with natural alternatives while preserving meaning and the writer's voice.
- License: MIT (upstream). Upstream declares
allowed-tools(Read, Write, Edit, Grep, Glob, AskUserQuestion) and compatibility with claude-code / opencode.
Installing this skill
Recommended: git clone into your skills directory (gets SKILL.md plus bundled assets and stays updatable via git pull).
- Claude Code:
git clone https://github.com/blader/humanizer.git ~/.claude/skills/humanizer(Cursor & Copilot also read~/.claude/skills/). - Project scope / other tools: clone into
.cursor/skills/humanizer,.github/skills/humanizer, or.claude/skills/humanizer. OpenCode:~/.config/opencode/skills/humanizer.
Do not copy the upstream body into this file; that would freeze the version and defeat the pointer.
What ships with it
1 file 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.
- 3d ago First seen · 23 lines · 87 tokens per session scan A 6f40c1d21c07
humanizer is a skill published in the GitHub repository skyfox675/agents-skills (10 stars, last pushed 6d ago), licensed MIT. It adds 87 tokens to every session and 410 once invoked, about $0.0004 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 2026-09-03.
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