cybergym m4ll0k · PARTIAL
CyberGym is a large-scale, high-quality cybersecurity evaluation framework designed to rigorously assess the capabilities of AI agents on real-world vulnerability analysis tasks.
github.com/m4ll0k/cybergym · ★ 0 · Forks 0 · Size 88 KB
SUMMARY
Technologies 13
Scored 11
Observed 11
Practices 6
Evidence 14
Skips 2
COVERAGE
Analyzed 31 files · 38 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
3 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
19 files · PRODUCTION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
FastAPI FRAMEWORK Depth 66
3 files · PRODUCTION
HTTPX LIBRARY Depth —
0 files · config only
Pydantic LIBRARY Depth 62
2 files · PRODUCTION
Requests LIBRARY Depth 58
1 files · PRODUCTION
Ruff QUALITY Depth —
0 files · config only
SQLAlchemy LIBRARY Depth 66
3 files · PRODUCTION
Uvicorn LIBRARY Depth 58
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-06-02
Last commit 2026-07-29
Active months 10
Commits 38