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perf-theory-tester
About perf-theory-tester
perf-theory-tester is a skill for testing performance hypotheses through controlled experiments. It enforces one change per experiment, repeated validation, and recorded evidence to support an accept, reject, or inconclusive verdict.
Key features
- 01Confirms a clean baseline
- 02Tests one change per experiment
- 03Runs at least two validation passes
- 04Reverts before the next experiment
- 05Records commands and evidence
Use cases
- 01Testing a proposed performance optimization
- 02Comparing a change against a clean baseline
- 03Documenting evidence for a performance decision
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ composio-community/ awesome-claude-plugins --skill perf-theory-testerAfter installing, type/perf-theory-testerin Claude Code to confirm it loaded.
Details
From the project READMEperf-theory-tester
Test hypotheses using controlled experiments.
Follow docs/perf-requirements.md as the canonical contract.
Required Steps
- Confirm baseline is clean.
- Apply a single change tied to the hypothesis.
- Run 2+ validation passes.
- Revert to baseline before the next experiment.
Output Format
hypothesis: <id>
change: <summary>
delta: <metrics>
verdict: accept|reject|inconclusive
evidence:
- command: <benchmark command>
- files: <changed files>
Constraints
- One change per experiment.
- No parallel benchmarks.
- Record evidence for each run.
Comments
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