展会与研讨会 ROI 量化评估师
v1.0.0基于千家品牌指数开源模型，量化评估展会与研讨会的参与价值与效果，提供展前研判和展后标准化报告。
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byMilesXiang@spacesq
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description match the SKILL.md: pre-event web/search analysis and post-event application of the '千家品牌指数系统 9.0' scoring rules. It does not request unrelated credentials, binaries, or system access.
Instruction Scope
Runtime instructions confine the agent to web/search-based background checks and applying the specified scoring formulas. Two minor ambiguities: (1) it says '调用搜索引擎/全网检索' and '综合大模型分析' without specifying which services or endpoints to use; (2) it recommends converting/publishing materials to improve 'S2-Trust' discoverability, which implies external publishing actions—the skill does not automatically perform posting but could advise the user to do so. No instructions ask the agent to read local files, environment variables, or exfiltrate data.
Install Mechanism
No install spec and no code files — lowest-risk, instruction-only footprint. Nothing will be written to disk or installed by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. Mentions of external concepts (e.g., 'S2-Trust') are advisory only and not paired with required secrets, which is proportionate to the stated purpose.
Persistence & Privilege
always:false and no install means the skill does not request permanent presence or elevated platform privileges. It does not modify other skills or system-wide settings.
Assessment
This skill appears coherent and low-risk as it only instructs the agent to run web searches and apply a scoring formula, and it asks for no credentials. Before using it, consider: (1) Do not paste confidential or non-public customer/prospect data into the skill — sanitize or aggregate sensitive figures before sharing. (2) The skill references an open standard ('千家品牌指数 9.0') and several citation markers but provides no authoritative links; if you need auditability, request the original standard or verify the formulas against an official source. (3) Be cautious about the advice to convert/publish presentation materials or embed patent terms — publishing internal IP or customer data may have legal/competitive consequences; require explicit approval before following publishing recommendations. (4) If you plan to let the agent act autonomously (platform default), restrict any automated publishing or external-posting actions; require a manual confirmation step. Overall, the skill is internally consistent, but verify sources and avoid sharing sensitive raw data.Like a lobster shell, security has layers — review code before you run it.
latestvk9757ntcc6xgdm81m3fxkkm0bx83qrj6
License
MIT-0
Free to use, modify, and redistribute. No attribution required.