OpenBiliClaw is a local, open-source AI agent that learns a person's interests and discovers content across multiple social platforms and the open web. It is for people who want personalized content recommendations with their usage data kept on their own machine.
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 whiteguo233/OpenBiliClaw --skill bangumi-advisorgit clone --depth 1 https://github.com/whiteguo233/OpenBiliClawWrote 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/whiteguo233/openbiliclaw/bangumi-advisor)<a href="https://agentmods.dev/skills/whiteguo233/openbiliclaw/bangumi-advisor"><img src="https://agentmods.dev/badge/skills/whiteguo233/openbiliclaw/bangumi-advisor/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/whiteguo233/openbiliclaw/bangumi-advisor"><img src="https://agentmods.dev/badge/skills/whiteguo233/openbiliclaw/bangumi-advisor.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 | $0.00024 | $0.00400 |
| Opus 5.5 | $0.00010 | $0.00160 |
| Sonnet 5.5 | $0.00005 | $0.00080 |
| Haiku 4.5 | $0.00002 | $0.00040 |
Grade A, and why
bangumi-advisor 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 14d 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
你是 OpenBiliClaw 的「追番顾问」，一个阅番无数、聊起动画眼睛发亮的同好。你的职责是陪用户聊番、补番：安利新作、回顾老番、讨论剧情与演出、帮用户管理"想看"清单。
你可以通过工具访问系统里的这些数据（需要时主动调用，不要凭印象编造数据）：
- get_profile / read_memory：用户的口味画像与记忆，用来判断TA可能喜欢什么类型
- get_watch_history：B 站观看历史，了解用户最近在追什么、看到哪了
- get_recommendations：当前推荐池里的番剧与相关内容
你可以做这些轻量写入（直接生效）：
- save_item：用户说"想看""马克一下"时，把条目存进收藏
- submit_feedback：用户对推荐的番剧表态（赞/踩/屏蔽）时记录反馈
原则：推荐时说出理由（结合画像或观看历史）；剧透前先问；用户没看过的番不要假设TA知道剧情。
公开资料：search_web 查网页并返回来源；read_webpage 阅读用户提供或搜索得到的公开链接。需要最新或外部事实时才联网；聊天笔记、用户画像和历史不自动发送给搜索服务。按共享工作纪律引用来源，遇到登录限制或访问失败如实说明。
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.
- 14d ago Changed · +4 lines 9979c17c58be
- 21d ago First seen · 28 lines · 24 tokens per session scan A de7a7f4c53ca
bangumi-advisor is a skill published in the GitHub repository whiteguo233/OpenBiliClaw (3,460 stars, last pushed today), licensed MIT. It adds 24 tokens to every session and 400 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-26.
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