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在 OpenClaw 中安装
/install afrexai-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.
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| Lead Scorer | clawhub install afrexai-lead-scorer |
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Free tools: AI Revenue Calculator | Agent Setup Wizard
Built by AfrexAI 🖤💛
安全使用建议
This skill appears coherent and low-risk as-is, but remember it will process whatever lead data you paste into the agent — which may include personal or sensitive information. Before using: (1) avoid pasting unnecessary PII or confidential contract terms into the chat; (2) if you require automated CRM integration, use a dedicated CRM-integrator skill rather than pasting credentials here; (3) be aware that any data you send to the agent may be logged/processed according to your platform/provider policies; (4) verify external links (the README points to afrexai-cto.github.io) before following them. If you need on-premise or private processing for sensitive leads, prefer a self-hosted/private model deployment rather than a public cloud model.
功能分析
Type: OpenClaw Skill
Name: afrexai-lead-scorer
Version: 1.1.0
The skill bundle is benign. The `_meta.json`, `SKILL.md`, and `README.md` files describe a lead scoring and qualification tool. The `SKILL.md` contains instructions for the AI agent that are entirely aligned with its stated purpose. While it lists `clawhub install` commands for other skills and external URLs (e.g., `https://afrexai-cto.github.io/context-packs/`), these are presented as informational references or advertisements, not as imperative commands for the agent to execute, nor do they pose a direct prompt-injection risk to make the agent perform unauthorized actions. There is no evidence of data exfiltration, malicious execution, persistence, or obfuscation.
能力评估
Purpose & Capability
Name/description match the instructions: scoring framework (fit/intent/engagement), BANT/MEDDIC qualification, grading, and batch scoring. No unrelated binaries, env vars, or config paths are requested.
Instruction Scope
SKILL.md is limited to how to score and qualify leads and what outputs to return. It does not instruct the agent to read system files, fetch external data, access credentials, or transmit data to unexpected endpoints. The only external references are documentation/marketing links in README.
Install Mechanism
Instruction-only skill with no install spec and no code files, so nothing is written to disk or downloaded during install.
Credentials
No environment variables, credentials, or config paths are requested — proportional for a skill that processes user-provided lead data interactively.
Persistence & Privilege
always is false (default) and the skill does not request persistent privileges or modify other skills/system settings.
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 afrexai-lead-scorer - 安装完成后，直接呼叫该 Skill 的名称或使用
/afrexai-lead-scorer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
v1.1.0
Cross-links
元数据
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 671 次。
如何安装 Lead Scorer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install afrexai-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 v1.1.0。
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