Zandereins/schliff

Deterministic quality scorer for AI agent instruction files — 8-dimension scoring with security, multi-format (SKILL.md, CLAUDE.md, .cursorrules, AGENTS.md), anti-gaming detection, zero dependencies

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/ 100
Emerging

Schliff performs deterministic static analysis across 9 dimensions (structure, triggers, quality, edges, efficiency, composability, clarity, security, runtime) without requiring an LLM, ensuring identical scores for identical inputs. It includes anti-gaming detection that catches common inflation patterns like keyword stuffing, copy-paste examples, and contradictory instructions through deduplication, frequency caps, and contradiction detection. Beyond scoring, it offers CLI tools for comparative analysis, ranked fix suggestions with impact estimates, drift detection across files, and autonomous improvement loops via Claude Code integration.

Available on PyPI.

No Dependents
Maintenance 13 / 25
Adoption 8 / 25
Maturity 18 / 25
Community 0 / 25

How are scores calculated?

Stars

2

Forks

Language

Python

License

MIT

Last pushed

Mar 27, 2026

Monthly downloads

586

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/agents/Zandereins/schliff"

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