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 YangsonHung/awesome-agent-skills --skill wechat-theme-extractorgit clone --depth 1 https://github.com/YangsonHung/awesome-agent-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/yangsonhung/awesome-agent-skills/wechat-theme-extractor)<a href="https://agentmods.dev/skills/yangsonhung/awesome-agent-skills/wechat-theme-extractor"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/wechat-theme-extractor/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/yangsonhung/awesome-agent-skills/wechat-theme-extractor"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/wechat-theme-extractor.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 | $0.00025 | $0.01153 |
| Opus 5 | $0.00013 | $0.00576 |
| Sonnet 5 | $0.00005 | $0.00231 |
| Haiku 4.5 | $0.00003 | $0.00115 |
Grade A, and why
wechat-theme-extractor 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WeChat Theme Extractor
Overview
Extract layout and style signals from a WeChat Official Account article, then generate a reusable theme for markdown-wechat-converter. The workflow derives typography, colors, spacing, and block styles from the article, writes the generated theme into markdown-to-wechat.html, and supports previewing the result.
When to Use
Use this skill when the user:
- Provides a
mp.weixin.qq.comarticle URL - Wants to extract typography, color, spacing, and block styles from a WeChat article
- Wants a new theme generated for
markdown-wechat-converter - Wants the theme written into
markdown-to-wechat.htmland previewed
Do not use
Do not use this skill when:
- The URL is not a WeChat Official Account article
- The user only wants article text extraction without theme analysis
- The target project does not contain
markdown-wechat-converterormarkdown-to-wechat.html
Instructions
- Run
scripts/extract.pyto fetch the article HTML and extract the title andjs_content. - Read
.extracted_content.htmland analyze style traits directly from the HTML. - Generate a theme object compatible with
markdown-wechat-converter. - Locate
markdown-to-wechat.htmlin the current workspace and inject the new theme without breaking existing theme definitions. - Re-open the file and verify the theme entry was actually written.
- If verification succeeds, open
markdown-to-wechat.htmlin the browser for preview.
Workflow
User provides URL
-> run extractor script
-> produce .extracted_content.html
-> analyze styles
-> generate theme config
-> write into markdown-to-wechat.html
-> verify write result
-> open preview
Run the script
python3 scripts/extract.py "https://mp.weixin.qq.com/s/xxxxx"
Script responsibilities
The Python script only:
- Fetches article HTML
- Extracts the article title
- Extracts the
js_contentbody fragment - Saves the result to
.extracted_content.html
What ships with it
2 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.
- 9d ago First seen · 148 lines · 25 tokens per session scan A 73da59d3bff2
wechat-theme-extractor is a skill published in the GitHub repository YangsonHung/awesome-agent-skills (18 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 1,153 once invoked, about $0.0001 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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