Agent skill

perf-theory-tester

Use when running controlled perf experiments to validate hypotheses.

agent-sh404★ · +29/wk · 2 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add agent-sh/agentsys --skill perf-theory-tester --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 5.1.0
Path: .kiro/skills/perf-theory-tester/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 923
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# perf-theory-tester Test hypotheses using controlled experiments. Follow `docs/perf-requirements.md` as the canonical contract. ## Required Steps 1. Confirm baseline is clean. 2. Apply a single change tied to the hypothesis. 3. Run 2+ validation passes. 4. 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.

What's inside
Steps it walks through
  1. Required Steps
  2. Output Format
  3. Constraints
More from agentsys
All skills →
About this skill
What does the perf-theory-tester skill do?

Use when running controlled perf experiments to validate hypotheses.

How do I install it?

Run `npx skills add agent-sh/agentsys --skill perf-theory-tester --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From agent-sh/agentsys, a repository with 923 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going