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 majiayu000/spellbook --skill humanizergit clone --depth 1 https://github.com/majiayu000/spellbookWrote 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/majiayu000/spellbook/humanizer)<a href="https://agentmods.dev/skills/majiayu000/spellbook/humanizer"><img src="https://agentmods.dev/badge/skills/majiayu000/spellbook/humanizer.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00092 | $0.00350 |
| Opus 5 | $0.00046 | $0.00175 |
| Sonnet 5 | $0.00018 | $0.00070 |
| Haiku 4.5 | $0.00009 | $0.00035 |
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 8d 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
Use this skill to remove AI-writing artifacts while preserving the author's meaning, factual claims, and intended voice.
Routing
- Start here to confirm scope, safety boundaries, and the minimum workflow.
- Load
references/full-guide.mdbefore executing detailed commands, applying templates, or relying on examples from this skill. - Keep the work limited to the user-requested target; do not add adjacent improvements unless the user asks.
Quick Workflow
- Confirm the target, available context, constraints, and done-when signal.
- Read the relevant section of
references/full-guide.mdfor task-specific details. - Execute the smallest reversible action that satisfies the request.
- Verify that meaning is preserved, claims are not added, and the revised text no longer uses the targeted AI-writing patterns.
- Report changed files, commands run, evidence collected, and any remaining risk.
References
references/full-guide.md- complete command patterns, examples, checklists, and edge cases.
What ships with it
3 files 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.
- 8d ago First seen · 49 lines · 92 tokens per session scan A 08eadbf6f02c
humanizer is a skill published in the GitHub repository majiayu000/spellbook (276 stars, last pushed 2d ago), licensed MIT. It adds 92 tokens to every session and 350 once invoked, about $0.0005 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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