LakshmiN5/promptqc
62
ESLint for your system prompts — catch contradictions, anti-patterns, injection vulnerabilities, and token waste before production
What's novel
ESLint for your system prompts — catch contradictions, anti-patterns, injection vulnerabilities, and token waste before production
Score Breakdown
Innovation
4 (25%)
Craft
57 (35%)
Traction
17 (15%)
Scope
64 (25%)
Signal breakdown
Innovation
Not Fork+1
Code Novelty+0
Unique Niche+1
Concept Novelty+2
Craft
Ci+0
Tests+5
Polish+2
Releases+1
Has License+5
Code Quality+12
Readme Quality+15
Recent Activity+7
Structure Quality+5
Commit Consistency+0
Has Dependency Mgmt+5
Traction
Forks+6
Stars+6
Hn Points+0
Watchers+3
Early Traction+0
Devto Reactions+0
Community Contribs+2
Scope
Commits+5
Languages+3
Subsystems+13
Bloat Penalty+0
Completeness+7
Contributors+6
Authored Files+12
Readme Code Match+3
Architecture Depth+7
Implementation Depth+8
Evidence
Commits
9
Contributors
2
Files
53
Active weeks
1
TestsCI/CDREADMELicenseContributing
Repository
Language
Python
Stars
1
Forks
1
License
MIT