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 QiYuOr2/anitabi-mcp-server --skill anitabi-pilgrimagegit clone --depth 1 https://github.com/QiYuOr2/anitabi-mcp-serverWrote 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/qiyuor2/anitabi-mcp-server/anitabi-pilgrimage)<a href="https://agentmods.dev/skills/qiyuor2/anitabi-mcp-server/anitabi-pilgrimage"><img src="https://agentmods.dev/badge/skills/qiyuor2/anitabi-mcp-server/anitabi-pilgrimage/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/qiyuor2/anitabi-mcp-server/anitabi-pilgrimage"><img src="https://agentmods.dev/badge/skills/qiyuor2/anitabi-mcp-server/anitabi-pilgrimage.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 | $0.00065 | $0.00288 |
| Opus 5.5 | $0.00026 | $0.00115 |
| Sonnet 5.5 | $0.00013 | $0.00058 |
| Haiku 4.5 | $0.00006 | $0.00029 |
Grade A, and why
anitabi-pilgrimage 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 4d 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
巡礼查询
只使用已连接的 anitabi MCP 工具。不要自己请求 anitabi 或 Bangumi 的 HTTP 接口。
先选工具
- 没有数字 subject id 时,先调用
search_animate_subject。出现多个作品时先确认,不要自行选定。 - 已有 id 时,先调用
get_bangumi_stage_lite_by_id,看作品、城市和代表性地点。 - 需要某个地点的图片、出处或更多字段时,再调用
get_bangumi_stage_point_detail_by_id。用limit和offset翻页,不要一次取回全部地标。
怎么用结果
- 结果里没有
geo时,不要编造坐标,给出返回的map链接。 - 展示地点或截图时,保留
origin和originURL。 - 工具返回错误时,把错误告诉用户,不要改走别的接口重试。
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.
- 4d ago First seen · 21 lines · 65 tokens per session scan A 4b572e92ce7d
anitabi-pilgrimage is a skill published in the GitHub repository QiYuOr2/anitabi-mcp-server (10 stars, last pushed 4d ago), licensed MIT. It adds 65 tokens to every session and 288 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 2026-11-03.
anitabi-pilgrimage compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| anitabi-pilgrimageQiYuOr2/anitabi-mcp-server | Skill | 10 | 4d ago | MIT | A | 65 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |