nomad3/AI Lead Scoring
apps/api/app/skills/native/ai_lead_rubric/SKILL.md
--- name: AI Lead Scoring engine: markdown version: 1 category: sales tags: [leads, scoring, AI, qualification, BANT] auto_trigger: "Score leads for AI platform fit using the AI Lead Scoring rubric" inputs: - name: entity_id type: string description: "Knowledge entity UUID to score" required: true --- ## Description Score leads 0-100 based on likelihood of becoming a customer for an AI/agent orchestration platform. ## Scoring Rubric (0-100 total) | Category | Max Points | What
development
Updated Apr 18, 2026
$ install --global
skillsauthnpx skillsauth add nomad3/servicetsunami-agents AI Lead ScoringInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 9, 2026, 2:19 AM8.5s1 file scanned
SKILL.md
- name:
- AI Lead Scoring
- engine:
- markdown
- version:
- 1
- category:
- sales
- tags:
- [leads, scoring, AI, qualification, BANT]
- auto_trigger:
- Score leads for AI platform fit using the AI Lead Scoring rubric
- - name:
- entity_id
- type:
- string
- description:
- Knowledge entity UUID to score
- required:
- true
Description
Score leads 0-100 based on likelihood of becoming a customer for an AI/agent orchestration platform.
Scoring Rubric (0-100 total)
| Category | Max Points | What to look for | |---|---|---| | hiring | 25 | Job posts mentioning AI, ML, agents, orchestration, automation, platform engineering | | tech_stack | 20 | Uses or evaluates LangChain, OpenAI, Anthropic, CrewAI, AutoGen, or similar agent frameworks | | funding | 20 | Recent funding round (Series A/B/C within 12 months scores highest) | | company_size | 15 | Mid-market (50-500 employees) and growth-stage companies score highest | | news | 10 | Recent product launches, partnerships, expansions, AI initiatives | | direct_fit | 10 | Explicit mentions of orchestration needs, multi-agent workflows, workflow automation |
Entity to Score
- Name: {name}
- Type: {entity_type}
- Category: {category}
- Description: {description}
- Properties: {properties}
- Enrichment Data: {enrichment_data}
- Source URL: {source_url}
Related Entities
{relations_text}
Output Format
Return ONLY a JSON object with this exact structure:
{
"score": "<integer 0-100>",
"breakdown": {
"hiring": "<integer 0-25>",
"tech_stack": "<integer 0-20>",
"funding": "<integer 0-20>",
"company_size": "<integer 0-15>",
"news": "<integer 0-10>",
"direct_fit": "<integer 0-10>"
},
"reasoning": "<one paragraph explaining the score>"
}
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