Factual package intelligence from PyPI
Evaluate agent skills via static analysis, trigger testing, and trace analysis. Run `sklab` after installing to scan your skills.
pip install skill-lab
PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.9.0>=13.0.0>=6.0>=2023.0.0>=0.39.0>=1.0.0>=0.8.0>=1.0.0>=7.0.0The compact report shows 12 of 15 declarations. The interactive dependency graph loads the complete metadata.
skill-lab publishes 1 wheel and 1 source archive for version 0.7.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .