Borrowing it
Nothing to install: this file belongs to tuanductran/hr-skills. 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/tuanductran/hr-skills/main/.agents/skills/humanizer/SKILL.mdgit clone --depth 1 https://github.com/tuanductran/hr-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/tuanductran/hr-skills/humanizer)<a href="https://agentmods.dev/skills/tuanductran/hr-skills/humanizer"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-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/tuanductran/hr-skills/humanizer"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/humanizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
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 →
- high Rogue Agent · line 3 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- high Rogue Agent · line 13 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- high Rogue Agent · line 26 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00034 | $0.00460 |
| Opus 5 | $0.00017 | $0.00230 |
| Sonnet 5 | $0.00007 | $0.00092 |
| Haiku 4.5 | $0.00003 | $0.00046 |
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 10d 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
Supported tasks
- Rewrite SKILL.md sections to sound natural and human-authored
- Fix grammar, inclusive language, and remove AI artifacts
- Shorten long descriptions to fit trigger thresholds
- Ensure blank lines before lists and headings per repo rules
- Normalize phrasing for trigger phrases and placeholders
- Provide multiple tone variants (formal, friendly, concise)
- Generate reviewer-friendly diffs highlighting changes
- Produce suggestions for improving prompt clarity
Key prompts
Rewrite tasks
- "Rewrite this SKILL.md description to sound natural and clear: [text]."
- "Shorten and sharpen the description while keeping every trigger phrase and staying above the 50-character minimum — real descriptions in this repo run 250-700+ characters, so don't over-trim."
- "Convert this list of prompts into a consistent style and tone."
- "Generate three tone variants for the Tips section: formal, friendly, concise."
Quality enforcement
- "Check this file for missing blank lines between headings and lists per repo rules."
- "Flag inclusive language issues and suggest neutral replacements."
- "Provide a one-paragraph summary of changes suitable for a PR body."
- "Highlight any placeholders that don't follow
[placeholders]convention."
Tone and examples
- "Provide short example rewrites for this Tips section in a friendly tone: [text]."
- "Convert these technical examples into beginner-friendly language while preserving accuracy."
- "Generate three alternative opening lines for the SKILL description with different formality levels."
- "Suggest 4 sample prompt phrasings that follow the repo's
[placeholders]pattern."
Tips
- Always run
bun run lint:mdafter rewrites to enforce markdown rules - Keep example prompts short and use
[placeholders]consistently - Preserve technical accuracy when simplifying prose for non-technical readers
- Use this skill as a final pass before opening PRs to
dev
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.
- 10d ago First seen · 51 lines · 34 tokens per session scan A a8956fdd9e9b
humanizer is a skill published in the GitHub repository tuanductran/hr-skills (56 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 460 once invoked, about $0.0002 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 2026-08-30.
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