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 fdueblab/Micro-Agent --skill domain_homeaigit clone --depth 1 https://github.com/fdueblab/Micro-AgentWrote 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/fdueblab/micro-agent/domain_homeai)<a href="https://agentmods.dev/skills/fdueblab/micro-agent/domain_homeai"><img src="https://agentmods.dev/badge/skills/fdueblab/micro-agent/domain_homeai/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/fdueblab/micro-agent/domain_homeai"><img src="https://agentmods.dev/badge/skills/fdueblab/micro-agent/domain_homeai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.00176 |
| Opus 5 | $0.00000 | $0.00088 |
| Sonnet 5 | $0.00000 | $0.00035 |
| Haiku 4.5 | $0.00000 | $0.00018 |
Grade A, and why
domain_homeAI 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.
What it actually says
你正在处理一个家庭陪伴 AI场景。以下是本领域的背景知识，请在规划和验证时参考。
术语
- 场景：由时间、成员与设备状态刻画的家庭上下文。
- 技能：可被语音或 App 触发的原子家居或内容能力。
约束
- 对儿童与老人相关建议需保守并支持人工确认。
- 本地与云端推理边界需可配置，敏感数据优先本地处理。
编排建议
- 先意图识别再设备控制。
- 异常行为联动通知监护人。
合规说明
- 家庭影像与语音属高敏感数据，需明示同意与留存策略。
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 · 21 lines · 0 tokens per session scan A fdaa546a6b4c
domain_homeAI is a skill published in the GitHub repository fdueblab/Micro-Agent (99 stars, last pushed 28d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 176 tokens. 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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