paladini/harness-score — Your AI coding agent is only as reliable as the harness around it.

Description and use

Here's a brief summary of the open-source project:

**Harness Score**: A tool that measures the reliability of an AI coding agent by evaluating the "harness" around it, providing a score out of 100. This project aims to simplify the addition of AI capabilities without requiring a blank model stack. It is suitable for prototyping AI features, building RAG or agent workflows, and evaluating model tooling.

**Value**: Harness Score helps developers add AI capability quickly and efficiently, without the need to start from scratch. It provides a straightforward way to evaluate the reliability of an AI agent, making it easier to integrate AI into existing workflows.

**Practical Adoption Path**: To adopt Harness Score, developers can:

1. Evaluate the implementation signals exposed by the tool, such as API/SDK/CLI, language metadata, or focused topics.
2. Integrate Harness Score into their existing development workflows, using the tool to measure the reliability of their AI agents.
3. Use Harness Score to prototype AI features, build RAG or agent workflows, and evaluate model tooling.

**Production Readiness**: Harness Score is considered production-ready, with strong adoption, recent activity, and a stable ecosystem. However, it's essential to conduct a final review of the license, security posture, and active maintain

Problem

paladini/harness-score helps add AI capability without starting from a blank model stack.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

Your AI coding agent is only as reliable as the harness around it. Measure that harness in seconds with harness-score.

Source