CrewScore is an offline tool that generates structural production-readiness scorecards for AI agent system prompts. It helps developers assess safety, governance, guardrails, and overall readiness for production LLM-based agent systems. The package is distributed as a Python library and CLI tool under the MIT license.
In the LLM eval & observability space, crewscore takes a focused approach. It focuses on evaluating and scoring AI agent system prompts for structural production readiness without relying on online services. crewscore is an open-source project aimed at developers. The project is open source (MIT). The product ships for the web and the command line.
It is developed by shmindmaster, and the product first shipped in 2026. The project is developed in the open on GitHub with 7 commits in the last 90 days. Among its 4 catalogued features are Production Readiness Scorecard, Offline Evaluation, and Prompt Governance.
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