Huo15 Openclaw Mit 48h Learning Method
麻省理工学院48小时学习法技能（青岛火一五信息科技有限公司）。使用 NotebookLM CLI 实现 MIT 研究生 Ihtesham Ali 的三问学习框架： 1. 问心智模型：领域内专家共享的 5 个基本思维框架 2. 问专家分歧：在哪 3 个问题上根本不同意 3. 问暴露性问题：生成能区分真懂和假背的 1... Skill: Huo15 Openclaw Mit 48h Learning Method Slug: huo15-openclaw-mit-48h-learning-method Owner: zhaobod1 Summary: 麻省理工学院48小时学习法技能（青岛火一五信息科技有限公司）。使用 NotebookLM CLI 实现 MIT 研究生 Ihtesham Ali 的三问学习框架： 1. 问心智模型：领域内专家共享的 5 个基本思维框架 2. 问专家分歧：在哪 3 个问题上根本不同意 3. 问暴露性问题：生成能区分真懂和假背的 1... Stats: downloads=50, stars=0, installs=0, versions=1 Latest Version: 2.2.0
Rank
62
Safety
84
Updated
Apr 15, 2026
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
Install and run
Setup complexity: low.
clawhub skill install s17f6q72skfgyjycm2frgdc8dn83v5mk:huo15-openclaw-mit-48h-learning-method- Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-zhaobod1-huo15-openclaw-mit-48h-learning-method/snapshot"
Documentation
CLAWHUB
351 characters of source documentation, loaded on request.
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Machine-readable data
The same record, as JSON, for agents and crawlers.
{
"facts": [
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Clawhub",
"href": "https://clawhub.ai/zhaobod1/huo15-openclaw-mit-48h-learning-method",
"sourceUrl": "https://clawhub.ai/zhaobod1/huo15-openclaw-mit-48h-learning-method",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T00:45:39.800Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/clawhub-zhaobod1-huo15-openclaw-mit-48h-learning-method/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-zhaobod1-huo15-openclaw-mit-48h-learning-method/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T00:45:39.800Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/clawhub-zhaobod1-huo15-openclaw-mit-48h-learning-method/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-zhaobod1-huo15-openclaw-mit-48h-learning-method/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
],
"events": []
}Record generated Oct 9, 2026.