edge-hint-extractor
by community
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Description
# Edge Hint Extractor ## Overview Convert raw observation signals (`market_summary`, `anomalies`, `news reactions`) into structured edge hints. This skill is the first stage in the split workflow: `observe -> abstract -> design -> pipeline`. ## When to Use - You want to turn daily market observations into reusable hint objects. - You want LLM-generated ideas constrained by current anomalies/news context. - You need a clean `hints.yaml` input for concept synthesis or auto detection. ## Prerequisites - Python
Install edge-hint-extractor
Run this in your OpenClaw agent to add edge-hint-extractor from the ClawHub registry.
openclaw skills install edge-hint-extractorRequires ClawHub registry access. Review the security analysis below before installing.
Security Analysis
Open Source
Code is publicly available for audit.
Community Verified
Reviewed by the ClawHub community.
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Frequently asked questions
Is edge-hint-extractor safe to install?
edge-hint-extractor has a SkillsReview security score of 50/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.
How much does edge-hint-extractor cost?
edge-hint-extractor is free to install for OpenClaw via ClawHub.
What are the best alternatives to edge-hint-extractor?
You can compare edge-hint-extractor side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.
How do I install edge-hint-extractor?
Install edge-hint-extractor from ClawHub at clawhub.ai/skills/edge-hint-extractor, or use the install action on this page to copy the command for your OpenClaw agent.
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