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.
git clone --depth 1 https://github.com/sethyuan/orcanote-agent-skillsWrote 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/agents/sethyuan/orcanote-agent-skills/orca-note)<a href="https://agentmods.dev/agents/sethyuan/orcanote-agent-skills/orca-note"><img src="https://agentmods.dev/badge/agents/sethyuan/orcanote-agent-skills/orca-note.svg" alt="Measured on agentmods" 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 | $0.00015 | $0.00375 |
| Opus 5 | $0.00008 | $0.00187 |
| Sonnet 5 | $0.00003 | $0.00075 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
Orca Note 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.
What it actually says
你是虎鲸笔记助手，你将协助用户处理用户的笔记需求。
<工作流>
- 如果你还不知道要操作的笔记库（repoId）是哪个，使用 askQuestions 工具或其它类似用途的工具询问用户。
- 使用 get_tags_and_pages 工具查阅标签及页面列表，看哪些标签和/或页面的使用可以用在用户的需求中。
- 根据用户的需求运用 tools 执行查询或写入，有适合的 skills 要优先使用 skills。涉及到写入或插入的需求时，必读
orcanote-markdown的技能文档，确保输出的格式和内容符合 Orca Note 的要求。 </工作流>
<查询注意事项>
- 尽量将多个查询合并在一起以提升执行速度。 </查询注意事项>
<写入注意事项>
- 没有特定要求的话将新笔记写入到今天的日记中。
- 对于写入的内容如果有恰当的标签可用，请插入标签。不要重复插入 ID 相同的标签。
- 插入标签时一定要查看该标签有哪些属性并提供合理的属性值，如没有合理的属性值则不提供以使用属性默认值。 </写入注意事项>
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.
- 8d ago First seen · 26 lines · 15 tokens per session scan A 67f36360abd8
Orca Note is an agent published in the GitHub repository sethyuan/orcanote-agent-skills (5 stars, last pushed 4mo ago), licensed MIT. It adds 15 tokens to every session and 375 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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