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 besoeasy/open-skills --skill humanizergit clone --depth 1 https://github.com/besoeasy/open-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/besoeasy/open-skills/humanizer)<a href="https://agentmods.dev/skills/besoeasy/open-skills/humanizer"><img src="https://agentmods.dev/badge/skills/besoeasy/open-skills/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/besoeasy/open-skills/humanizer"><img src="https://agentmods.dev/badge/skills/besoeasy/open-skills/humanizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Privilege Escalation · line 36 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
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 | $0.00025 | $0.02423 |
| Opus 5 | $0.00013 | $0.01211 |
| Sonnet 5 | $0.00005 | $0.00485 |
| Haiku 4.5 | $0.00003 | $0.00242 |
Grade B, and why
humanizer scanned grade B with 1 finding 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 9d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo apt-get install -y ripgrep nodejs npm How it starts
The opening of the file, as written. The whole thing — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Humanizer: Remove AI writing patterns
Edit text so it sounds like a real person wrote it: clearer rhythm, stronger specificity, less filler, and no chatbot artifacts. Keep the original meaning, facts, and intent.
Quick quality checklist
namematches folder name exactly (humanizer)- Examples are copy-paste runnable (Bash + Node.js)
- Rewrites preserve factual claims and scope
- Output includes rewritten text and optional concise change summary
- No invented facts, citations, or sources
When to use
- User asks to “humanize”, “de-AI”, “make this sound natural”, or “remove AI tone”
- Draft sounds generic, inflated, formulaic, or overly polished
- Content has chatbot artifacts (hedging, servile tone, boilerplate intros/outros)
- You need a tighter, more direct style without changing factual claims
Required tools / APIs
- No external API required
- Optional local tools for batch editing:
rg(ripgrep) for pattern detectionnode(v18+) for scripted rewrite pipelines
Install options:
# Ubuntu/Debian
sudo apt-get install -y ripgrep nodejs npm
# macOS
brew install ripgrep node
Skills
basic_usage
Use this flow for single passages:
- Identify AI-patterns in the input
- Rewrite sentences to simpler constructions
- Replace vague claims with specific details when provided
- Keep tone aligned to the user’s context (formal/casual/technical)
- Return the rewritten text
Bash (pattern scan):
cat input.txt \
| rg -n -i "\b(additionally|crucial|pivotal|underscores|highlighting|fostering|landscape|testament|vibrant)\b|\b(i hope this helps|let me know if|great question)\b|—|[“”]"
Node.js (simple rule-based humanizer):
function humanizeText(text) {
const replacements = [
[/\bIn order to\b/g, "To"],
[/\bDue to the fact that\b/g, "Because"],
[/\bAt this point in time\b/g, "Now"],
[/\bIt is important to note that\b/g, ""],
[/\bI hope this helps!?\b/gi, ""],
[/\bLet me know if you'd like.*$/gim, ""],
[/\bserves as\b/g, "is"],
[/\bstands as\b/g, "is"],
[/\bboasts\b/g, "has"],
[/—/g, ","],
[/[“”]/g, '"']
];
let output = text;
for (const [pattern, to] of replacements) {
output = output.replace(pattern, to);
}
return output
.replace(/\s{2,}/g, " ")
.replace(/\n{3,}/g, "\n\n")
.trim();
}
// Usage:
// const fs = require('node:fs');
// const input = fs.readFileSync('input.txt', 'utf8');
// console.log(humanizeText(input));
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.
- 9d ago First seen · 307 lines · 25 tokens per session scan B e75690f4d481
humanizer is a skill published in the GitHub repository besoeasy/open-skills (132 stars, last pushed 4d ago), licensed MIT. It adds 25 tokens to every session and 2,423 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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