Harness Score 1.6.4 adds safer scans, broader CI support, and multilingual docs

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Harness Score, an open-source tool that audits AI coding workflow repositories, has released version 1.6.4 following a focused series of updates since version 1.5.3. The tool evaluates repositories across 36 signals in six dimensions — covering context, skills, hooks, sensors, CI feedback, and safety hygiene — assigning a maturity level from L0 to L4 with no LLM calls or network access during scans. A key safety change introduced in 1.5.3 ensures that incomplete filesystem walks now fail closed rather than presenting partial results as authoritative scores. The latest release expands CI detection to include nested workspaces, Google Cloud Build, and Forgejo Actions, while adding support for documentation in five languages including Hindi and Simplified Chinese. The tool supports a wide range of AI coding environments such as Cursor, Claude Code, and Codex, and can be run instantly via npx without installation.

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