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 agentmods add skills/hanmirage/deepdepcat/wechat-articlenpx skills add hanmirage/deepdepcat --skill wechat-articlegit clone --depth 1 https://github.com/hanmirage/deepdepcatWrote 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/hanmirage/deepdepcat/wechat-article)<a href="https://agentmods.dev/skills/hanmirage/deepdepcat/wechat-article"><img src="https://agentmods.dev/badge/skills/hanmirage/deepdepcat/wechat-article.svg" alt="Measured on agentmods" 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 | $0.00051 | $0.00419 |
| Opus 5 | $0.00026 | $0.00210 |
| Sonnet 5 | $0.00010 | $0.00084 |
| Haiku 4.5 | $0.00005 | $0.00042 |
Grade A, and why
wechat-article 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 5d 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
公众号文章模板
结构（1200 字量级）
- 钩子开头（前 3 行）：具体冲突、反常识结论或数字，禁止「在当今社会」式套话；30 秒内给出「读完能得到什么」的承诺。
- 小标题分段（3–5 段）：每段一个小标题 + 一个核心论点 + 一个例子/数据；段与段之间逻辑递进，不并列堆砌。
- 论证完整：关键事实必须可溯源（来源/链接/访问日期）；无法查证的写「未证实」，不编造。
- 结尾行动号召：一句可被截图引用的总结 + 一个具体行动建议（不要只写「欢迎点赞」）。
写作要求
- 每段不超过 6 行；段落短，多用句号断句。
- 数据、引用单独成行并标注来源；不用「据统计」这类无出处说法。
- 标题 8–20 字，包含关键词与利益点。
- 语气：直接、有观点，不写官话套话。
导出
- 长文 →
docx_generate（标题、小标题、正文、引用列表）。 - 需要样张 →
pdf_generate。
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.
- 5d ago First seen · 29 lines · 51 tokens per session scan A 8537a9c0867f
wechat-article is a skill published in the GitHub repository hanmirage/deepdepcat (10 stars, last pushed 17d ago), licensed Apache-2.0. It adds 51 tokens to every session and 419 once invoked, about $0.0003 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 2026-08-31.
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