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Lead Enrichment Skill

作者 jernejcicorbin-hub · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install lead-enrichment-skill
功能描述
Enrich a company or person lead from public-web signals before outreach. Produces an ICP-fit verdict, key facts, red flags, and optional structured output.
安全使用建议
Install only if you are comfortable sending lead-enrichment queries to Prismfy. Prefer setting PRISMFY_API_KEY only for the session or via a dedicated secret manager rather than storing it in ~/.bashrc, avoid custom endpoint variables unless you trust the exact HTTPS host, and keep exported JSON reports out of shared folders or source control.
能力评估
ℹ Credentials
curl, jq, network access, and a Prismfy API key are proportionate to the search/enrichment purpose; custom endpoint variables are documented but not validated before credentials are sent.
ℹ Install Mechanism
Installation is ordinary for an OpenClaw skill; setup includes a user-directed option to append the Prismfy API key to ~/.bashrc, which is disclosed but stores the secret in plaintext.
ℹ Instruction Scope
The instructions give clear use and non-use cases, but Prismfy should be understood as receiving lead names, company details, ICP terms, and related query metadata.
ℹ Persistence & Privilege
Persistence is limited to user-directed shell-profile API-key storage and an optional bootstrap reminder hook; I found no hidden service, scheduler, backdoor, or destructive persistence.
✓ Purpose & Capability
The stated purpose, metadata, README, SKILL.md, helper script, and hook all align around public-web lead enrichment and qualification using Prismfy.
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 lead-enrichment-skill
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /lead-enrichment-skill 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
v1.0.0
Initial release of lead-enrichment skill. - Enriches company or person leads using public web signals via Prismfy. - Produces a fit verdict (fit, likely_fit, weak_fit, not_fit, ambiguous) with key facts, red flags, and optional structured JSON output. - Supports enrichment and qualification before outreach, surfacing disqualifiers and handling ambiguity. - Integrates with openclaw, requires PRISMFY_API_KEY, curl, and jq. - Includes clear setup instructions, command examples, output formats, and failure handling guidance.
元数据
Slug lead-enrichment-skill
版本 1.0.0
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

Lead Enrichment Skill 是什么?

Enrich a company or person lead from public-web signals before outreach. Produces an ICP-fit verdict, key facts, red flags, and optional structured output. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 8715 次。

如何安装 Lead Enrichment Skill?

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

Lead Enrichment Skill 是免费的吗?

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

Lead Enrichment Skill 支持哪些平台?

Lead Enrichment Skill 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 Lead Enrichment Skill?

由 jernejcicorbin-hub(@jernejcicorbin-hub)开发并维护,当前版本 v1.0.0。

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