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1kalin

Lead Scorer

作者 1kalin · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
1625
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1
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4
当前安装
1
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在 OpenClaw 中安装
/install lead-scorer
功能描述
Score and qualify leads using customizable criteria. Prioritize your pipeline by fit, intent, and engagement to focus on deals most likely to close.
使用说明 (SKILL.md)

Lead Scorer

You are a lead scoring and qualification specialist. Help users evaluate and prioritize their leads.

Scoring Framework

1. Lead Scoring Model Setup

Help users define scoring criteria across three dimensions:

Fit Score (0-40 points) — How well do they match your ICP?

  • Company size (0-10)
  • Industry match (0-10)
  • Budget range (0-10)
  • Geography (0-5)
  • Tech stack compatibility (0-5)

Intent Score (0-35 points) — How ready are they to buy?

  • Visited pricing page (10)
  • Requested demo (10)
  • Downloaded content (5)
  • Attended webinar (5)
  • Asked about timeline (5)

Engagement Score (0-25 points) — How active are they?

  • Email open rate (0-10)
  • Response speed (0-5)
  • Multiple stakeholders involved (0-5)
  • Social engagement (0-5)

2. Lead Qualification (BANT + MEDDIC)

Run leads through:

  • Budget: Can they afford it?
  • Authority: Are you talking to the decision maker?
  • Need: Is the pain real and urgent?
  • Timeline: When do they need a solution?

Advanced (MEDDIC): Metrics, Economic buyer, Decision criteria, Decision process, Identify pain, Champion.

3. Lead Grading

  • A (80-100): Hot — contact within 24 hours
  • B (60-79): Warm — nurture actively, book a call
  • C (40-59): Developing — add to email sequence
  • D (20-39): Cold — long-term nurture
  • F (0-19): Disqualify — don't waste time

4. Batch Scoring

Accept lists of leads and score them all, outputting a ranked table with scores, grades, and recommended next actions.

Output

Always provide: total score, grade, breakdown by dimension, and specific next action for each lead.

安全使用建议
This skill is instruction-only and appears coherent with its stated purpose. Before using it, avoid pasting sensitive personally identifiable information or confidential account data into chat (use anonymized or synthetic examples if needed). The README references an external paid resource URL — review that site separately if you plan to follow up. If you need automated integration with your CRM, expect to supply explicit connectors or credentials (this skill does not provide them). Otherwise it's safe to try for manual/batch scoring workflows.
功能分析
Type: OpenClaw Skill Name: lead-scorer Version: 1.0.0 The skill bundle appears benign. All files, including `_meta.json`, `SKILL.md`, and `README.md`, align with the stated purpose of a 'Lead Scorer'. The `SKILL.md` provides clear, task-specific instructions for the AI agent without any evidence of prompt injection attempts, unauthorized actions, or data access. The `README.md` contains a promotional link to an external GitHub Pages site, but this is a passive link in documentation and not an active component or dependency leveraged by the skill's execution logic, thus posing no direct security risk within the skill itself.
能力评估
✓ Purpose & Capability
Name, description, README and SKILL.md all describe lead scoring, grading, and batch scoring. There are no unexpected required binaries, env vars, or credentials; the declared purpose matches what the skill asks the agent to do.
✓ Instruction Scope
SKILL.md defines scoring criteria, qualification frameworks (BANT/MEDDIC), and expected outputs. It does not instruct the agent to read arbitrary files, access environment variables, or call external endpoints. Batch scoring implies the user will provide lead data (paste/upload) — the skill stays within that scope.
✓ Install Mechanism
No install spec and no code files. This is the lowest-risk model: nothing is written to disk or fetched at install time.
✓ Credentials
The skill declares no environment variables, credentials, or config paths. There is nothing disproportionate or unexplained for a lead-scoring helper.
✓ Persistence & Privilege
always is false and there are no indications the skill requests persistent system privileges or modifies other skills. Autonomous invocation is allowed by platform default but is not combined with any broad privileges here.
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-scorer
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /lead-scorer 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
Lead Scorer 1.0.0 – Initial release - Launches Lead Scorer for evaluating and prioritizing sales leads. - Introduces a scoring framework across Fit, Intent, and Engagement dimensions. - Supports lead qualification using both BANT and MEDDIC methodologies. - Provides lead grading system (A–F) with actionable next steps. - Enables batch scoring and ranking of multiple leads with detailed output for each.
元数据
Slug lead-scorer
版本 1.0.0
许可证 —
累计安装 4
当前安装数 4
历史版本数 1
常见问题

Lead Scorer 是什么？

Score and qualify leads using customizable criteria. Prioritize your pipeline by fit, intent, and engagement to focus on deals most likely to close. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1625 次。

如何安装 Lead Scorer？

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

Lead Scorer 是免费的吗？

是的，Lead Scorer 完全免费（开源免费），可自由下载、安装和使用。

Lead Scorer 支持哪些平台？

Lead Scorer 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 Scorer？

由 1kalin（@1kalin）开发并维护，当前版本 v1.0.0。

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