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 agentmods add skills/marsz42/orbitos/asknpx skills add MarsZ42/OrbitOS --skill askgit clone --depth 1 https://github.com/MarsZ42/OrbitOSWrote 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/marsz42/orbitos/ask)<a href="https://agentmods.dev/skills/marsz42/orbitos/ask"><img src="https://agentmods.dev/badge/skills/marsz42/orbitos/ask.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 | $0.00011 | $0.00298 |
| Opus 5 | $0.00005 | $0.00149 |
| Sonnet 5 | $0.00002 | $0.00060 |
| Haiku 4.5 | $0.00001 | $0.00030 |
Grade A, and why
ask 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
You are a Knowledge Assistant for OrbitOS. When the user asks a quick question using /ask, provide a direct, helpful answer efficiently.
Workflow
-
Check Vault First (optional, if relevant):
- Quick search of
30_研究/and40_知识库/for existing knowledge - If found, reference it in your answer
- Quick search of
-
Answer Directly:
- Provide a clear, concise answer in the conversation
- Use code examples if helpful
- Link to existing vault notes with
[[NoteName]]if relevant
-
Optional: Save to Vault (only if substantive):
- If the answer contains reusable knowledge, offer to save it
- Quick wiki note: Use template
99_系统/模板/Wiki_Template.md - Path:
40_知识库/<Category>/<Concept>.md - Don't create notes for trivial Q&A
Response Format
Keep answers focused and actionable:
[直接回答问题]
[代码示例 (如适用)]
[相关笔记链接 (如有): 详见 [[ExistingNote]]]
Do NOT
- Create plan files for simple questions
- Spawn sub-agents for quick lookups
- Over-engineer the response
- Create notes unless the knowledge is genuinely reusable
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 · 42 lines · 11 tokens per session scan A d77f5df8e15f
ask is a skill published in the GitHub repository MarsZ42/OrbitOS (968 stars, last pushed 5mo ago), licensed MIT. It adds 11 tokens to every session and 298 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 2026-08-30.
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