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S2 中国品牌个性量表演算模型
作者
MilesXiang
· GitHub ↗
· v1.0.0
· MIT-0
122
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当前安装
1
版本数
在 OpenClaw 中安装
/install s2-brand-personality-profiler
功能描述
S2 中国品牌个性量表演算模型。基于向忠宏 2010 年创立的“5维度-18层面-51人格”中国品牌个性量表，通过品牌搜索投影算法，为品牌进行精准的本土化人格定位。
安全使用建议
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 auditability, ask the skill author how search counts are obtained (which search APIs or corpora) and whether results are reproducible. If you are comfortable with those caveats, the skill is coherent with its stated purpose.
功能分析
Type: OpenClaw Skill
Name: s2-brand-personality-profiler
Version: 1.0.0
The skill bundle is a specialized tool for brand personality profiling based on the 'China Brand Personality Scale' (2010). The included Python code in skill.md is a simple, safe calculation class for determining brand traits based on provided data, and the markdown instructions are strictly aligned with the stated purpose of brand analysis without any signs of prompt injection, data exfiltration, or malicious execution.
能力评估
Purpose & Capability
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.
Instruction Scope
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.
Install Mechanism
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.
Credentials
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.
Persistence & Privilege
Defaults are used (always: false, agent invocation allowed). The skill does not request permanent presence or system-wide configuration changes.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install s2-brand-personality-profiler - 安装完成后，直接呼叫该 Skill 的名称或使用
/s2-brand-personality-profiler触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release of the S2 Brand Personality Profiler.
- Implements the 5维度-18层面-51人格 Chinese brand personality model.
- Uses a search projection algorithm to quantify brand trait prominence versus industry averages.
- Provides automated Python-based calculation and personality judgment (A/B/C level).
- Outputs structured reports with n-value analysis, personality assessment, and consumer adaptation recommendations.
元数据
常见问题
S2 中国品牌个性量表演算模型 是什么？
S2 中国品牌个性量表演算模型。基于向忠宏 2010 年创立的“5维度-18层面-51人格”中国品牌个性量表，通过品牌搜索投影算法，为品牌进行精准的本土化人格定位。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 122 次。
如何安装 S2 中国品牌个性量表演算模型？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install s2-brand-personality-profiler」即可一键安装，无需额外配置。
S2 中国品牌个性量表演算模型 是免费的吗？
是的，S2 中国品牌个性量表演算模型 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
S2 中国品牌个性量表演算模型 支持哪些平台？
S2 中国品牌个性量表演算模型 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 S2 中国品牌个性量表演算模型？
由 MilesXiang（@spacesq）开发并维护，当前版本 v1.0.0。
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