benchmark-honestly
Skill69 starsChanged 4 days agoNo licenceView on GitHub
Build benchmarks that survive scrutiny and catch the classic lies (dead code elimination, lazy results, constant folding, warm caches, coordinated omission, averages hiding GC pauses, unequal work, noisy machines). Defines the question first, controls and discloses the environment, uses warmups, interleaved repeats, medians, bootstrap confidence intervals and Mann-Whitney tests, and ends with a one-line verdict that includes the CI. Bundles a command runner, an environment reporter and an open-loop latency tester. Use when the user says "benchmark this", "is this faster", "compare performance", "did my change speed it up", "load test", "latency percentiles", "p99", or posts a speedup claim to check.
In this repository23 other files it gives its agents.
- api-design-reviewSkill
- bisect-anythingSkill
- codebase-mapSkill
- dx-auditSkill
- flaky-test-killerSkill
- security-threat-modelSkill
- brand-kitSkill
- image-genSkill
- from-scratchSkill
- paper-to-runnableSkill
- system-design-from-scratchSkill
- teach-backSkill
- next-stepSkill
- skill-routerSkill
- video-scriptSkill
- clean-audioSkill
- code-loopSkill
- perspective-illusionSkill
- repo-timelapseSkill
- reverse-engineer-videoSkill
- rough-cutSkill
- scripted-screencastSkill
- vox-explainerSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Your trail
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Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
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