咨询级智能分析系统
v1.0.0咨询级智能分析系统。将碎片化信息通过结构化思考转化为可执行洞察。 使用场景：(1) 深度行业/市场/竞品分析 (2) 战略规划与决策支持 (3) 复杂问题根因诊断 (4) 创新方案设计 (5) 用户说"分析一下"、"深度研究"、"帮我调研"、"做个报告"时触发。 包含12大分析框架（诊断/战略/创新/决策/系统/...
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byNarain@penghang1223
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (consulting-grade analysis) align with the content: the instructions describe structured question understanding, web-based intelligence gathering, framework selection, analysis, validation, and report output. There are no unexpected credentials, binaries, or install steps required.
Instruction Scope
SKILL.md limits runtime behavior to asking clarifying questions, performing web_search/web_fetch style searches, applying included framework templates (references/*.md), synthesizing and citing sources, and producing reports. It does not instruct reading local files, environment variables, or sending data to unknown endpoints. The guidance to perform multiple searches and cite URLs is expected for this purpose.
Install Mechanism
No install spec and no code files beyond plain MD references. Because this is instruction-only, nothing is downloaded or written to disk by the skill itself.
Credentials
The skill declares no environment variables, credentials, or config paths. Its behavior (web searches and using the provided templates) does not require additional secrets or privileged access.
Persistence & Privilege
always is false (good). disable-model-invocation is false which allows autonomous invocation — this is the platform default and not itself a problem, but note that the skill can be invoked autonomously by the agent when triggers match (e.g., user asks for deep research).
Assessment
This skill is instruction-only and internally consistent with its stated goal of producing structured research reports. Before installing or enabling it, consider: (1) the skill will perform web searches and include URLs in reports — avoid sending confidential or proprietary text to it if you don't want that content to be used in web queries or stored in agent logs; (2) verify the agent's web_search/web_fetch implementation and privacy policy (which service executes the searches and how logs are handled); (3) because autonomous invocation is allowed by default, disable autonomous invocation or require user confirmation if you prefer to prevent the agent from starting long-running research tasks without explicit approval; (4) review generated reports and cited sources for accuracy and bias before acting on recommendations. No code or credentials are requested, and nothing in the files indicates hidden endpoints or exfiltration.Like a lobster shell, security has layers — review code before you run it.
latestvk9736dnjpcc1hv8rstc0h9ts0x83qtyg
License
MIT-0
Free to use, modify, and redistribute. No attribution required.