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 Morningstar202604/awesome-skillkit --skill oschina-publishergit clone --depth 1 https://github.com/Morningstar202604/awesome-skillkitWrote 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/morningstar202604/awesome-skillkit/oschina-publisher)<a href="https://agentmods.dev/skills/morningstar202604/awesome-skillkit/oschina-publisher"><img src="https://agentmods.dev/badge/skills/morningstar202604/awesome-skillkit/oschina-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/morningstar202604/awesome-skillkit/oschina-publisher"><img src="https://agentmods.dev/badge/skills/morningstar202604/awesome-skillkit/oschina-publisher.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 | $0.00019 | $0.00741 |
| Opus 5 | $0.00010 | $0.00370 |
| Sonnet 5 | $0.00004 | $0.00148 |
| Haiku 4.5 | $0.00002 | $0.00074 |
Grade A, and why
oschina-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 12d 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
开源中国 Publisher
开源中国发布客户端，支持两种模式：
- 官方开放平台 API —— 博客发布，需申请 AppKey
- Web 内部 API —— 问答/动态发布，仅需 Cookie
功能
blog-publish—— 发布博客（官方 API）question-ask—— 提问（Web 内部 API）dynamic-post—— 发布动态（Web 内部 API）
安全设计
- 默认 dry-run：所有写操作默认只打印请求计划，不联网；加
--execute才真正发送。 - 凭据隔离：
- 官方 API：
OSCHINA_ACCESS_TOKEN - Web API：
OSCHINA_COOKIE环境变量或--cookie-file
- 官方 API：
使用示例
# 博客发布（官方 API）
export OSCHINA_ACCESS_TOKEN="your_token"
python oschina_publisher.py blog-publish --execute \
--title "我的博客" \
--content "# 标题\n正文内容..." \
--tags "Python,AI" \
--catalog 123
# 问答（Web Cookie）
export OSCHINA_COOKIE="your_cookie"
python oschina_publisher.py question-ask --execute \
--title "如何解决某问题？" \
--content "详细描述..." \
--tags "Python,异步编程"
# 动态发布
python oschina_publisher.py dynamic-post --execute \
--content "发个动态 #话题#" \
--images "https://example.com/img1.png"
端点核对（首次使用必做）
Web 内部 API 无官方文档，端点可能随时变更。首次使用前请在浏览器 DevTools 核对。
当前端点（需核对）：
- 博客发布:
POST https://www.oschina.net/action/openapi/blog/add - 提问:
POST https://www.oschina.net/action/api/question/add - 动态:
POST https://www.oschina.net/action/api/dynamic/add
认证
官方 API：OSCHINA_ACCESS_TOKEN
Web 内部 API：OSCHINA_COOKIE 或 --cookie-file
export OSCHINA_COOKIE="your_cookie"
# 或
python oschina_publisher.py question-ask --cookie-file ~/.oschina_cookie ...
退出码
0成功1API 错误或参数错误
依赖
- Python 3.8+
- 标准库
publish_common
相关技能
v2ex-publisher— V2EX 发帖segmentfault-publisher— SegmentFault 发布douban-publisher— 豆瓣发布cross-post-orchestrator— 多平台编排
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.
- 12d ago First seen · 94 lines · 19 tokens per session scan A 533ca39b5801
oschina-publisher is a skill published in the GitHub repository Morningstar202604/awesome-skillkit (1 stars, last pushed 2d ago), licensed Apache-2.0. It adds 19 tokens to every session and 741 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 2026-08-31.
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