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Trade Show Fit Score

作者 weilun88313 · GitHub ↗ · v1.2.0 · MIT-0
cross-platform ✓ 安全检测通过
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当前安装
1
版本数
在 OpenClaw 中安装
/install trade-show-fit-score
功能描述
Score a trade show against your company profile for an AI-backed exhibit vs. skip decision. "Should we exhibit at this show?" / "这个展会值得参加吗" / "Lohnt sich die...
安全使用建议
This skill looks coherent and limited in scope, but confirm a few practical points before installing: (1) Verify Lensmor (platform.lensmor.com) is a known/trusted provider and that your account tied to LENSMOR_API_KEY has an appropriate company profile stored (the skill assumes the API key links to your profile). (2) Check Lensmor API docs or support to understand what company data the service stores/uses and the retention/billing implications. (3) Use a scoped API key (not a high-privilege/long-lived secret) when possible and avoid reusing production secrets. (4) If you need offline/manual scoring, consider the companion trade-show-finder skill instead. Overall there are no hidden reads, downloads, or unrelated credential requests in the skill.
功能分析
Type: OpenClaw Skill Name: trade-show-fit-score Version: 1.2.0 The skill bundle is a legitimate tool for evaluating trade shows using the Lensmor API. It follows standard security practices, such as explicitly instructing the agent not to leak the API key (LENSMOR_API_KEY) or internal endpoint details in its responses (SKILL.md). The workflow is transparent, using standard HTTP requests to platform.lensmor.com, and lacks any indicators of data exfiltration, malicious execution, or harmful prompt injection.
能力评估
Purpose & Capability
The declared purpose (score a trade show against your company profile) aligns with the Lensmor fit-score endpoints described. One minor note: the SKILL.md never shows sending a company profile payload — it appears to rely on the Lensmor account associated with LENSMOR_API_KEY to provide company/profile data. This is a plausible design but is an implicit dependency worth understanding before use.
Instruction Scope
Runtime instructions are narrow and concrete: check LENSMOR_API_KEY is set, optionally resolve an event_id via a search endpoint, then POST event_id to the fit-score endpoint and format the response. The instructions do not read other files, environment variables, or send data to third-party endpoints beyond platform.lensmor.com.
Install Mechanism
Instruction-only skill with no install spec and no code files. Nothing is written to disk or downloaded by the skill itself.
Credentials
Only one required env var (LENSMOR_API_KEY) is declared and used; its purpose is clear and proportional to the skill's API calls. No unrelated credentials or config paths are requested.
Persistence & Privilege
Skill is user-invocable, not forced-always, and allows normal autonomous invocation. It does not request elevated platform privileges or attempt to modify other skills or system-wide settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install trade-show-fit-score
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /trade-show-fit-score 触发
  4. 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
v1.2.0
- Major update: Comprehensive workflow, output, and error handling details added for fit-scoring trade shows via the Lensmor API. - Expanded multilingual description and use case scenarios for exhibit decision support. - Clear step-by-step process: API key check, event lookup, fit-score request, response formatting, and user guidance included. - Score interpretation bands and error messages standardized for consistent user experience. - Added relationship clarification and routing guidance for use with related skills (`trade-show-finder`, `trade-show-lead-recommender`, `trade-show-budget-planner`). - Strict output rules and suggestions for next steps now defined.
元数据
Slug trade-show-fit-score
版本 1.2.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Trade Show Fit Score 是什么?

Score a trade show against your company profile for an AI-backed exhibit vs. skip decision. "Should we exhibit at this show?" / "这个展会值得参加吗" / "Lohnt sich die... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 95 次。

如何安装 Trade Show Fit Score?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install trade-show-fit-score」即可一键安装,无需额外配置。

Trade Show Fit Score 是免费的吗?

是的,Trade Show Fit Score 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Trade Show Fit Score 支持哪些平台?

Trade Show Fit Score 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 Trade Show Fit Score?

由 weilun88313(@weilun88313)开发并维护,当前版本 v1.2.0。

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