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 swaylq/humanize-chinese --skill declaude-cngit clone --depth 1 https://github.com/swaylq/humanize-chineseWrote 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/swaylq/humanize-chinese/declaude-cn)<a href="https://agentmods.dev/skills/swaylq/humanize-chinese/declaude-cn"><img src="https://agentmods.dev/badge/skills/swaylq/humanize-chinese/declaude-cn/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/swaylq/humanize-chinese/declaude-cn"><img src="https://agentmods.dev/badge/skills/swaylq/humanize-chinese/declaude-cn.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 | $0.00110 | $0.00681 |
| Opus 5 | $0.00055 | $0.00341 |
| Sonnet 5 | $0.00022 | $0.00136 |
| Haiku 4.5 | $0.00011 | $0.00068 |
Grade A, and why
declaude-cn 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 11d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 11d ago First seen · 36 lines · 110 tokens per session scan A 590bee465987
declaude-cn is a skill published in the GitHub repository swaylq/humanize-chinese (15 stars, last pushed 12d ago), with no licence file. It adds 110 tokens to every session and 681 once invoked, about $0.0006 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.
Other skills, from other repositories
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Detect and remove the tells of AI-generated writing in BOTH English and Spanish, and read back the evidence honestly. Use when the user asks to "de-AI" / "humanize" / "un-slop" a draft, to examine whether text carries the tells (delve, tapestry, "it's not just X, it's Y", "here's the thing", em-dash overuse, an…
humanizer-ko
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shuorenhua
A writing and editing guide for making Chinese and English text sound natural and less machine-generated, with special attention to Taiwan Traditional Chinese usage. It preserves technical terms, facts, and the responsible subject.
humanize-korean
A Korean-language editing skill that makes AI-written text sound more natural while preserving its meaning, facts, numbers, names, quotations, and genre. It focuses on patterns such as translation-like wording, repetitive structure, and overly mechanical rhythm.
humanize-redo
A second editing pass for Korean text produced by the humanize-korean workflow. It can revisit remaining issues in selected categories or paragraphs, with adjustable editing strictness.
humanize
A command for making AI-written Korean text sound more natural through an automated editing process.