sadjad6/precision_recall
src/skills/evaluation/precision_recall/SKILL.md
Compute precision and recall metrics
testing
Updated Apr 13, 2026
$ install --global
skillsauthnpx skillsauth add sadjad6/open-autonomous-research-lab precision_recallInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
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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 13, 2026, 2:56 AM215.1s2 files scanned
SKILL.md
- name:
- precision_recall
- description:
- Compute precision and recall metrics
Precision-Recall Evaluator
Description
Compute precision and recall metrics
When to Use
For classification evaluation
Workflow
- Compute precision\n2. Compute recall\n3. Compute F1
Tools Used
sklearn
Examples
from src.skills.evaluation.precision_recall import Skill
skill = Skill()
result = await skill.run(SkillInput(data={"key": "value"}))
Best Practices
Use macro/micro averaging for multi-class
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