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 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/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/marsz42/orbitos/ask"><img src="https://agentmods.dev/badge/skills/marsz42/orbitos/ask.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 | $0.00011 | $0.00298 |
| Opus 5.5 | $0.00004 | $0.00119 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo ago First seen · 42 lines · 11 tokens per session scan A d77f5df8e15f
ask is a skill published in the GitHub repository MarsZ42/OrbitOS (976 stars, last pushed 7mo ago), licensed MIT. It adds 11 tokens to every session and 298 once invoked, about $0.0000 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 2026-08-30.
Other skills, from other repositories
forget
Remove a personal fact, preference, relationship detail, topic, or prior event from Muse's active memory and stop existing copies or automations from bringing it back. Use for explicit requests such as 'forget that', 'don't remember this about me', or 'remove that from your memory'. Do not use when 'forget it' merely…
mem0-oss-to-platform
Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient). TRIGGER when: the developer wants to move, switch, or migrate mem0 off OSS/self-hosted to the hosted API, e.g. "migrate my mem0 setup to the platform", "switch…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
shellm
Reference for the shellm system — recursive LLM shell, identity management, memory, skills, trajectory, and all CLI tools. Use when working on shellm itself, debugging agent behavior, or understanding how the pieces fit together.