by 安全扫描
OpenClaw
安全
high confidenceNULL
评估建议
This skill appears internally consistent and does not request secrets or install code. Before using it, consider: (1) any brand names, competitor lists, or proprietary market data you submit may be sent to external search engines or LLMs — avoid sending confidential information if you lack a privacy guarantee; (2) the algorithm relies on simulated or external search/semantic counts, so results depend on the data source and may not reflect accurate, real-time search indices; (3) if you need audit...详细分析 ▾
✓ 用途与能力
The name/description claim to compute brand personality via search-projection/semantic density; the SKILL.md only asks the agent to obtain search/semantic counts and run a small Python calculation. No unrelated credentials, binaries, or installs are requested — coherent with the stated purpose.
ℹ 指令范围
Instructions permit using a search engine or the agent's LLM semantic retrieval to generate n-values and run the provided Python snippet in a sandbox. This is within scope, but the guidance is somewhat open-ended about which external search endpoints or services to call — meaning brand names and competitor lists may be sent to external search/LLM APIs during runtime.
✓ 安装机制
No install spec and no code files beyond prose examples; lowest-risk class (instruction-only). There is no archive download or third-party package install declared.
✓ 凭证需求
The skill declares no required environment variables, credentials, or config paths. That is proportionate for a skill that relies on generic search/LLM capabilities rather than service-specific keys.
✓ 持久化与权限
Defaults are used (always: false, agent invocation allowed). The skill does not request permanent presence or system-wide configuration changes.
安全有层次，运行前请审查代码。
运行时依赖
无特殊依赖
版本
latestv1.0.02026/3/27
NULL
● 无害
安装命令
点击复制官方npx clawhub@latest install s2-brand-personality-profiler
镜像加速npx clawhub@latest install s2-brand-personality-profiler --registry https://cn.longxiaskill.com