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 IceWhaleTech/ZimaOS-Blue --skill askgit clone --depth 1 https://github.com/IceWhaleTech/ZimaOS-BlueWrote 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/icewhaletech/zimaos-blue/ask)<a href="https://agentmods.dev/skills/icewhaletech/zimaos-blue/ask"><img src="https://agentmods.dev/badge/skills/icewhaletech/zimaos-blue/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/icewhaletech/zimaos-blue/ask"><img src="https://agentmods.dev/badge/skills/icewhaletech/zimaos-blue/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 | $0.00063 | $0.00965 |
| Opus 5 | $0.00032 | $0.00483 |
| Sonnet 5 | $0.00013 | $0.00193 |
| Haiku 4.5 | $0.00006 | $0.00097 |
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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ask Skill
Setup
No external dependencies required. This skill uses the built-in ask capability.
Task Routing
Based on user intent, choose the corresponding ask action:
| User Intent | Action |
|---|---|
| User explicitly asks for question flow (e.g. "ask me questions", "用 ask 技能问我问题") | Run one blue ask call immediately (prefer questions='[...]' for multi-question flows) |
| Requirement is ambiguous and you must clarify before choosing a strategy | Run blue ask to collect missing constraints/preferences |
| MCP internal Plan mode requires a confirmation/clarification gate | Run blue ask before continuing plan execution |
| Multi-step questionnaire/interview (Q1/Q2/Q3) | Use a single blue ask questions='[...]' call whenever possible |
| Multiple valid implementation approaches | Run blue ask to get explicit user choice before execution |
Command Usage
Preferred Single-Question Format
blue ask q="Choose a deploy strategy" a='["Canary","Blue-Green"]'
Multi-Question Format (Recommended)
blue ask questions='[
{"question":"How should I address you?","type":"radio","options":["Alex","A."]},
{"question":"Preferred language?","type":"radio","options":["zh","en"]},
{"question":"请假时长？","type":"text"},
{"question":"邮件收件人是？","type":"radio","options":["直属上级","HR","两者都抄送"]}
]'
Do not continue staged questionnaires via plain assistant text (e.g. "continnue second question...").
Each follow-up must be another blue ask call.
Input Format
| Field | Requirement | Notes |
|---|---|---|
questions |
Preferred | Array of question objects |
type |
Required per item | radio, checkbox, or text |
options |
Conditional | Required for radio/checkbox; omit for text |
q + a |
Shorthand | Single-question shorthand |
mq + a |
Shorthand | Multi-choice shorthand |
Example payload:
[
{
"question": "Which environment should we use?",
"type": "radio",
"options": ["Staging", "Production"]
},
{
"question": "How long is the leave?",
"type": "text"
}
]
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.
- 9d ago First seen · 118 lines · 63 tokens per session scan A 46aa4473b7bc
ask is a skill published in the GitHub repository IceWhaleTech/ZimaOS-Blue (25 stars, last pushed 4mo ago), licensed MIT. It adds 63 tokens to every session and 965 once invoked, about $0.0003 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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