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harness-evals

v0.1.0

Published

Agent-first coding-agent evaluation harness with Docker isolation, skills onboarding, and result reporting.

Readme

harness-evals

Reusable coding-agent evaluation harness for running real agent CLIs in isolated Docker workspaces.

Recommended setup

Start by installing the packaged skill from the npm package:

npx skills add harness-evals --skill harness-evals

Then open your coding agent and ask it to use the skill, for example:

can you setup evals for this project?

The skill guides the agent to:

  • check whether the harness-evals CLI is installed
  • ask whether to install the CLI globally or locally in the project when it is missing
  • inspect the project structure, package manager, test commands, Docker usage, CI, and existing agent config
  • ask what you want to test and how before creating cases
  • optionally derive cases from existing sessions, failures, or repeated workflows
  • map your goals to eval cases, agents, mocks, assertions, scoring, and reports
  • create or update harness-evals.yaml and goal-specific eval files
  • run harness-evals list and a focused first validation run

After setup

After your agent creates harness-evals.yaml and the first goal-specific cases, use the CLI loop directly. If the CLI is installed locally, use your package runner such as npx harness-evals, pnpm exec harness-evals, or bunx harness-evals.

harness-evals list
harness-evals run --case <case-id> --agents <agent-name>
harness-evals view --open

harness-evals runs coding agents in Docker. If docker.image is set, that ready image is used directly. Otherwise the harness builds and reuses a local managed image from the selected adapters' installation recipes.

Documentation

Start with the bundled docs hub at skills/harness-evals/docs/index.md, or jump to the installation and configuration guide and CLI reference.

Contributor architecture notes live under docs/design/index.md.