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 zhinjs/zhin --skill bilibiligit clone --depth 1 https://github.com/zhinjs/zhinWrote 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/zhinjs/zhin/bilibili)<a href="https://agentmods.dev/skills/zhinjs/zhin/bilibili"><img src="https://agentmods.dev/badge/skills/zhinjs/zhin/bilibili/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/zhinjs/zhin/bilibili"><img src="https://agentmods.dev/badge/skills/zhinjs/zhin/bilibili.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 | $0.00086 | $0.00400 |
| Opus 5.5 | $0.00034 | $0.00160 |
| Sonnet 5.5 | $0.00017 | $0.00080 |
| Haiku 4.5 | $0.00009 | $0.00040 |
Grade A, and why
bilibili 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.
What it actually says
B 站订阅技能
工具
| 工具 | 用途 | 说明 |
|---|---|---|
bili_live_status |
查询开播状态 | 传直播间号（room）或 UP 主 UID（uid），返回是否在播、标题、链接 |
bili_list_subscriptions |
查看订阅 | 列出本插件实例的全部 UP 主订阅，按会话分组 |
Example:
用户: 嘉然现在在播吗？直播间 22637261
→ bili_live_status(room="22637261")
用户: 我们订阅了哪些 UP 主？
→ bili_list_subscriptions()
注意
- 订阅的增加 / 删除走聊天命令
bili sub <uid> [all|live|dynamic]、bili unsub <uid>，不是 AI 工具。 - 推送有随机延迟和退避，B 站风控时会暂停一段时间，属于正常现象。
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 · 47 lines · 86 tokens per session scan A d047e581fe15
bilibili is a skill published in the GitHub repository zhinjs/zhin (137 stars, last pushed today), licensed MIT. It adds 86 tokens to every session and 400 once invoked, about $0.0003 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 2026-10-21.
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