ClawHub

Lead Scorer

v1.1.0

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

⭐ 0· 637·0 current·0 all-time
by@1kalin
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
✓
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.
Assessment
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.

Like a lobster shell, security has layers — review code before you run it.

latestvk9744vzc0ek595mrprrf5xbvks813xsp

License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

Comments