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Trade Show Lead Recommender

作者 weilun88313 · GitHub ↗ · v1.2.0 · MIT-0
cross-platform ✓ 安全检测通过
103
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install trade-show-lead-recommender
功能描述
Get AI-ranked exhibitors matching your ICP — shortlist the top accounts worth outreach at any show. "Who should we target at this show?" / "推荐参展商" / "Ausstel...
安全使用建议
This skill appears coherent and only needs a Lensmor API key to query platform.lensmor.com. Before installing: (1) Confirm you trust Lensmor (review the linked GitHub/homepage and API docs) because requests and results are sent to their service; (2) Treat LENSMOR_API_KEY like any secret — do not paste it into public chat logs, use least-privilege/rotatable keys if possible, and monitor usage; (3) Be aware results may be handed to other trade-show skills (contact-finder, outreach templates) — review those skills if you care about downstream data sharing; (4) If you need stronger guarantees, ask the vendor about data retention, privacy, and scope of the API key. Overall the skill is internally consistent with its stated purpose.
功能分析
Type: OpenClaw Skill Name: trade-show-lead-recommender Version: 1.2.0 The trade-show-lead-recommender skill is a legitimate tool designed to help users identify and rank exhibitors at trade shows using the Lensmor API (platform.lensmor.com). The SKILL.md instructions provide a clear, functional workflow for an AI agent to validate API keys, query event data, and format recommendations without any signs of malicious intent, data exfiltration, or unauthorized command execution. It includes safety rules such as preventing the disclosure of the LENSMOR_API_KEY and avoiding the exposure of internal endpoint paths.
能力评估
Purpose & Capability
Name/description match the observed behavior: the skill only needs a Lensmor API key and describes calling Lensmor endpoints to resolve an event and fetch exhibitor recommendations. Nothing requested (no unrelated credentials or binaries) is disproportionate to a trade-show recommender.
Instruction Scope
SKILL.md instructs the agent to verify LENSMOR_API_KEY, look up an event_id, call Lensmor endpoints, interpret the response, and (optionally) hand off results to related skills. It does not instruct reading unrelated files, searching shell history, or posting data to endpoints outside platform.lensmor.com or the documented Lensmor contact email.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk or downloaded during installation, which minimizes install-time risk.
Credentials
Only one environment variable (LENSMOR_API_KEY) is required and it's justified by the documented API calls. No other secrets or unrelated environment/config paths are requested.
Persistence & Privilege
The skill is user-invocable, not forced-always, and uses normal autonomous invocation settings. It does not request persistent platform-wide privileges or modify other skills' configs.
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-lead-recommender
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /trade-show-lead-recommender 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
Version 1.2.0 - Major documentation and guidance update: new SKILL.md provides detailed, step-by-step instructions and filter strategies for lead recommendations. - Comprehensive workflow: covers API key validation, event selection, ICP-based filtering, API call structure, response interpretation, and formatted output. - Added advanced filter recommendations (e.g., employee count, location, categories) for more precise exhibitor shortlisting. - Enhanced output formatting guidance, including clear ranking tables and ICP match rationale for recommendations. - Explicit error handling instructions included for common API issues. - Now supports multi-language prompts for exhibitor recommendation requests.
元数据
Slug trade-show-lead-recommender
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 Lead Recommender 是什么?

Get AI-ranked exhibitors matching your ICP — shortlist the top accounts worth outreach at any show. "Who should we target at this show?" / "推荐参展商" / "Ausstel... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 103 次。

如何安装 Trade Show Lead Recommender?

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

Trade Show Lead Recommender 是免费的吗?

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

Trade Show Lead Recommender 支持哪些平台?

Trade Show Lead Recommender 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 Lead Recommender?

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

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