schliff is an open-source CLI tool that deterministically scores the quality of AI agent instruction files in formats like SKILL.md and CLAUDE.md. It provides multi-dimensional scoring, security checks, and anti-gaming detection for developers working with autonomous agents.
In the Code review & quality space, schliff takes a focused approach. It focuses on ensuring the quality and security of AI agent instruction files through deterministic scoring and linting. schliff is an open-source project aimed at AI developers. The project is open source (MIT). It runs on the web and the command line, and it can be self-hosted.
schliff first shipped in 2026. Development happens publicly on GitHub with 163 commits in the last 90 days. Key capabilities include multi-format support, quality scoring, and security checks.
Summary written by a language model from the project’s public pages.
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