Borrowing it
Nothing to install: this file belongs to fanfan-de/anybox. 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/fanfan-de/anybox/master/.agents/skills/zhihu-md-publisher/SKILL.mdgit clone --depth 1 https://github.com/fanfan-de/anyboxWrote 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/fanfan-de/anybox/zhihu-md-publisher)<a href="https://agentmods.dev/skills/fanfan-de/anybox/zhihu-md-publisher"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/zhihu-md-publisher/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/fanfan-de/anybox/zhihu-md-publisher"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/zhihu-md-publisher.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00079 | $0.01027 |
| Opus 5 | $0.00039 | $0.00513 |
| Sonnet 5 | $0.00016 | $0.00205 |
| Haiku 4.5 | $0.00008 | $0.00103 |
Grade A, and why
zhihu-md-publisher 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 13d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Zhihu Markdown Publisher
Use this skill to move a local Markdown article into Zhihu's article editor and publish it with images. Treat Zhihu login, CAPTCHA, and final publishing as live external actions.
Required Inputs
Expect a Markdown article path. If the user does not provide one, search the workspace for likely Zhihu drafts under paths such as 03_内容生产/知乎.
The article should have frontmatter:
---
zhihu-title: 文章标题
zhihu-topics:
- 大语言模型
- 桌面应用
zhihu-cover:
zhihu-link:
---
Support body images in either Markdown or Obsidian wiki syntax:
![[assets/screenshot.png|说明]]
Workflow
- Run the bundled preparer:
node "<skill-dir>\scripts\prepare-zhihu-article.mjs" "<article.md>" "<output-dir>"
Use a workspace output directory such as 07_自动化脚本/out/zhihu. The script writes:
<name>.manifest.json: title, topics, cover, image paths, output paths.<name>.html: local preview.<name>.txt: plain-text fallback.
Stop and fix any missing frontmatter or missing images before using the browser.
-
Open
https://zhuanlan.zhihu.com/writein the in-app browser when available. If Zhihu redirects to login, ask the user to finish login/CAPTCHA, then continue. -
Fill the editor from the manifest:
- Put
manifest.titleinto the title textbox. - Clear the body if it contains an old draft or duplicate content.
- Paste rich HTML chunks, not raw Markdown, so headings/lists/links render correctly.
- Paste local images as clipboard image items in the original image order.
- Verify
figurecount equalsmanifest.images.length. - Verify raw Markdown heading text such as
##is not present. - Verify key tail content and links exist.
- Set publishing metadata:
- Add no more topics than Zhihu accepts. Prefer exact topic suggestions surfaced by Zhihu over forcing frontmatter names.
- If topic search returns ambiguous results, pick fewer high-confidence topics rather than incorrect ones.
- Leave column/question/source settings unchanged unless the user explicitly asks.
- Add a cover only if the page supports it reliably; otherwise rely on the article's first product image.
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.
- 13d ago First seen · 119 lines · 79 tokens per session scan A 7c0fbe73ab9a
zhihu-md-publisher is a skill published in the GitHub repository fanfan-de/anybox (57 stars, last pushed 1mo ago), licensed MIT. It adds 79 tokens to every session and 1,027 once invoked, about $0.0004 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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