Evaluating Agentic AI Skills (using OpenHands)
Skills:
Agent Foundations90%
Key Takeaways
Evaluates agentic AI skills using OpenHands and measures skill performance with examples from SkillsBench
Original Description
Yikes. A lot of “skills” actually make agents worse.
An overview of how to measure skill performance. Using examples from SkillsBench, you’ll see that some skills help a lot, some only help in narrow cases, and others quietly make things worse.
Everything is open source, and you can run it locally or on OpenHands Cloud to test your own skills the same way.
Blog post: https://openhands.dev/blog/evaluating-agent-skills
Repo: https://github.com/rajshah4/evaluating-skills-tutorial
━━━━━━━━━━━━━━━━━━━━━━━━━
★ Rajistics Social Media »
● Home Page: http://www.rajivshah.com
● LinkedIn: https://www.linkedin.com/in/rajistics/
● Reddit: https://www.reddit.com/r/rajistics/
━━━━━━━━━━━━━━━━━━━━━━━━━
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Agent Foundations
View skill →Related Reads
📰
📰
📰
📰
AI frameworks make the first 10% feel like magic. The other 90% is where they break you.
Dev.to AI
Why Developers Should Pay Attention to AIoT
Dev.to AI
SSAS MCP Server: Let AI Agents Query Your Analysis Services Cubes
Dev.to · Nexus AI
Your best knowledge shouldn’t be in your knowledge base
Medium · AI
🎓
Tutor Explanation
DeepCamp AI