Resume Screening Agent
Scores resumes against job descriptions in seconds
Upload resumes in bulk, score each against your job description using structured criteria, and get a ranked shortlist with explanations. Saves 80% of manual screening time.
What this agent does
Scores on: skills match (30%), experience level (25%), culture fit (20%), career trajectory (15%), education (10%). Ranked output in seconds.
Requirements
- OpenClaw account
- OpenAI API key (GPT-4o)
- Greenhouse account (optional)
System prompt (320 lines)
4 workflow stages
10 test cases
Greenhouse + Lever integration guide
Every portfolio includes 10 test cases — verified input/output pairs that prove the agent works correctly on your platform.
"Sample user input for this agent" { status: 'success', response: '...', confidence: 0.95 } "Ambiguous or edge case input" { status: 'escalate', reason: '...', confidence: 0.3 } Create an account
Sign up for OpenClaw (free tier is sufficient)
Import the system prompt
Copy the system prompt from the included system-prompt.md file and paste it into your agent configuration
Configure tools
Add your API keys and configure the tool definitions included in the package
Run test cases
Use the included test cases to verify the agent works correctly before going live
9 verified reviews
The Resume Screening Agent was exactly what we needed. Imported in under 30 minutes and it just worked. Saved us 2 weeks of dev time.
Clean code, thorough documentation. The test cases are a great touch — you can verify it works before buying. Highly recommend.
Solid agent config. Had a small integration question but the deployment guide covered everything. Would buy again.
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