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Harness Score 1.5 Adds Multilingual Docs, GitHub Action, and Custom Config for AI Coding

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Harness Score, a free open-source scanner that measures how well a code repository is set up to guide AI coding agents, has released version 1.5 with several new features. The tool evaluates repositories across six dimensions and assigns a maturity level from L0 to L4 by checking for files like AGENTS.md, CI gates, linters, and safety hooks — without making any LLM calls or network requests. Version 1.5 introduces repository-level configuration via a .harness-score.json file, custom scoring presets, and a published GitHub Marketplace Action for CI integration. Documentation is now available in five languages: English, Brazilian Portuguese, Spanish, Simplified Chinese, and Hindi. The release also includes a public Harness Maturity Showcase and a reproducible research repository that benchmarks the scanner against real open-source projects.

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Harness Score 1.5 Adds Multilingual Docs, GitHub Action, and Custom Config for AI Coding · ShortSingh