skill-zhihu-publisher

skill-zhihu-publisher is a skill for Claude Code, Codex from ZJU-REAL/Easel. It costs 69 tokens per session (572 once invoked), scanned A, original, Apache-2.0.

A browser-based publisher for posting articles to Zhihu, a Chinese question-and-answer and blogging platform. It uses a saved browser login to open the Zhihu column editor and submit an article.

In plain words
What is it for?
Log in, check a draft publishing plan, and publish a title and article body to Zhihu.
Why use it?
It reduces repetitive browser work when publishing prepared articles to a Zhihu column.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is 基于通用浏览器发布框架 `../../shared/scripts/web_publisher.py`(`--platform zhihu`)。.

Good fit Log in, check a draft publishing plan, and publish a title and article body to Zhihu.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/ZJU-REAL/Easel
agentmods
npx agentmods add skills/zju-real/easel/skill-zhihu-publisher

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for skill-zhihu-publisher

README.md
[![agentmods](https://agentmods.dev/badge/skills/zju-real/easel/skill-zhihu-publisher/github.svg)](https://agentmods.dev/skills/zju-real/easel/skill-zhihu-publisher)
Your own site
<a href="https://agentmods.dev/skills/zju-real/easel/skill-zhihu-publisher"><img src="https://agentmods.dev/badge/skills/zju-real/easel/skill-zhihu-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.

agentmods 80×15 button for skill-zhihu-publisher

Your own site · 80×15
<a href="https://agentmods.dev/skills/zju-real/easel/skill-zhihu-publisher"><img src="https://agentmods.dev/badge/skills/zju-real/easel/skill-zhihu-publisher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 572 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00069 $0.00572
Opus 5 $0.00034 $0.00286
Sonnet 5 $0.00014 $0.00114
Haiku 4.5 $0.00007 $0.00057

Measured 8d ago against content hash b1f160e0e7e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

skill-zhihu-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 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.

skills/openclaw/skill-zhihu-publisher/SKILL.md · 49 lines

What it actually says

知乎发布

基于通用浏览器发布框架 ../../shared/scripts/web_publisher.py--platform zhihu)。 发布到知乎专栏写作页(zhuanlan.zhihu.com/write)。

⚠️ 环境依赖

  • pip install playwright + playwright install chromium
  • 首次 login 登录知乎,登录态持久化复用
    • 远程/headless 环境用 login-qr --platform zhihu(抠二维码成图轮询),或走 Web「账号」页登录
  • 选择器时效:知乎正文为 Draft.js contenteditable,发布可能有二次确认弹窗;内置选择器为 最佳努力,首次务必 plan + --headed 校验,失效时更新 web_publisher.py 的 zhihu 配置。

无浏览器环境可用 platforms / plan / check

执行

ROOT=<项目根>; WP=$ROOT/skills/shared/scripts/web_publisher.py
python $WP check
python $WP login   --platform zhihu
python $WP plan    --platform zhihu --title "标题" --desc "正文..."
python $WP publish --platform zhihu --title "标题" --desc "正文..." --exec --headed

Profile 感知

  • 有 Profile:文风专业、有逻辑链,贴合 style.md;话题标签按垂类。
  • 无 Profile:按知乎通用规范(专业、结构化、有论据)。

规则

  1. 知乎重深度与专业性,正文结构清晰、有论据;标题克制不标题党。
  2. 长文可先用 video-to-article / social-content 成稿,再来发布。
  3. 首次 --headed 目视确认写作页与发布弹窗;选择器失效即更新配置。
  4. 正文为富文本编辑器,复杂排版建议登录后人工微调再发。

参考来源

知乎专栏写作页网页流程;复用统一 Playwright 框架。正文 Draft.js 编辑器,选择器按现状维护。

Files

What ships with it

1 file 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.

Changes

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.

  1. 8d ago First seen · 49 lines · 69 tokens per session scan A b1f160e0e7e9

Subscribe to this mod's changes

skill-zhihu-publisher is a skill published in the GitHub repository ZJU-REAL/Easel (841 stars, last pushed yesterday), licensed Apache-2.0. It adds 69 tokens to every session and 572 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 2026-09-03.

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