proctor svngoku · PARTIAL
A a comprehensive Python package designed to implement and explore a variety of text-based prompt engineering techniques. It provides a structured way to apply different prompting strategies to interact with Large Language Models (LLMs)
github.com/svngoku/proctor · ★ 2 · Forks 1 · Size 3.2 MB
SUMMARY
Technologies 13
Scored 11
Observed 11
Practices 6
Evidence 14
Skips 2
COVERAGE
Analyzed 78 files · 25 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
21 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
47 files · PRODUCTION
uv BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 73
3 files · PRODUCTION, TEST
Ruff QUALITY Depth —
0 files · config only
TypeScript LANGUAGE Depth 62
2 files · PRODUCTION
pytest TESTING Depth 41
2 files · TEST
python-dotenv LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-04-16
Last commit 2026-08-15
Active months 6
Commits 25