First downloadable release of agentharness-benchmarking-suite.
AgentHarness Benchmarking Suite
$29.99One-time purchase
A method and a scoring model for measuring whether a change to your coding-agent setup made it better, instead of guessing from the last three tasks you happened to run.
- Current version
- 1.0.0
- Files included
- 12
- Digital delivery
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Built to save a real afternoon
Four metrics reported together, each documented with the specific way it gets gamed
A task suite built from your own merged pull requests, where the verification command already exists
The anti-gaming guard most home-grown benchmarks miss: test files restored before scoring
Wilson intervals and a paired sign test, so a result is a claim you can defend rather than a number
Should-refuse tasks — the only ones that measure whether your setup pushes back on a bad request
AgentHarness Benchmarking Suite
Requirements
- A repository with a test suite that passes today
- A history of merged pull requests to draw tasks from
- The ability to run your agent headlessly, from a script
- About a day to build the task suite — it is the part that cannot be borrowed
Digital delivery
Secure download available after payment confirmation.
Practical license
Use and adapt the files in your own projects.
Versioned files
A clear changelog is included in every package.
Version history
Good questions, straight answers.
Does this come with tasks I can run out of the box?+
No, deliberately, and that is the central design decision. A borrowed task suite measures a codebase that is not yours, and a public one measures performance on a public benchmark — which models may have memorised. TASK-SUITE.md is a method for building 20 to 30 tasks from your own merged pull requests, where a human already wrote the verification command.
Why five runs per task? That is expensive.+
Because a single run returns 0 or 1, so two configurations 15 points apart will look identical or reversed more often than not. Thirty tasks by five runs by two configurations is 300 runs — an afternoon on a suite of three-minute tasks. With one run per task you do not have a benchmark, you have an anecdote in a spreadsheet.
Is it tied to a particular agent framework or model?+
No. It is model-neutral and harness-neutral by necessity: the whole purpose is to compare them, and a benchmark that assumes one cannot. The example runner is Python, a few hundred lines, and translates directly.
What stops an agent from passing by editing the test?+
The verification step restores every path listed in restore_paths — normally tests/ — from the base commit before running the check, and fails the run outright if a must_not_touch path was modified. This is the guard most home-grown benchmarks omit, and omitting it is what makes a suite reward compliance theatre. It is documented as the way success rate is gamed.
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