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Score and qualify leads using customizable criteria. Prioritize your pipeline by fit, intent, and engagement to focus on deals most likely to close.

开发与 DevOps

许可证:MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本:v1.1.0

统计:⭐ 0 · 496 · 0 current installs · 0 all-time installs

0

安装量(当前) 0

🛡 VirusTotal :良性 · OpenClaw :良性

Package:1kalin/afrexai-lead-scorer

安全扫描(ClawHub)

  • VirusTotal :良性
  • OpenClaw :良性

OpenClaw 评估

The skill's requirements and runtime instructions match its stated purpose (lead scoring) and it does not request extra credentials, installs, or suspicious actions.

目的

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.

说明范围

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.

安装机制

Instruction-only skill with no install spec and no code files, so nothing is written to disk or downloaded during install.

证书

No environment variables, credentials, or config paths are requested — proportional for a skill that processes user-provided lead data interactively.

持久

always is false (default) and the skill does not request persistent privileges or modify other skills/system settings.

综合结论

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 …

安装(复制给龙虾 AI)

将下方整段复制到龙虾中文库对话中,由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「Lead Scorer」。简介:Score and qualify leads using customizable criteria. Prioritize your pipeline b…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/1kalin/afrexai-lead-scorer/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

---
name: Lead Scorer
description: Score and qualify leads using customizable criteria. Prioritize your pipeline by fit, intent, and engagement to focus on deals most likely to close.
---

# 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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