experiment-preflight
Skill1 starsChanged 40 days agoNo licenceView on GitHub
Pre-launch go/no-go gate for any computational experiment (ML, statistics, simulation, bioinformatics, NLP, imaging). Load BEFORE launching a run, sweep, wave, array job or benchmark, before adopting a new metric, and before quoting a cost, runtime or walltime. Triggers: 'ready to launch', 'kick off the sweep', 'submit the wave', 'is this metric valid', 'how long will this take', 'compare method A vs B', 'best lambda then report', 'train/test split', 'add a no-op baseline', 'benchmark the timing'. Checks split unit vs sample unit (leakage), winner's-curse selection, matched tuning across arms, unequal coverage in pooled means, identity baselines, sample-size collapse, metric vs source equation, timing confounds, pilot-based cost, launch flags vs intended settings, provenance filters. Writes experiments/ID/PREFLIGHT.md + preflight.json with a GO/NO-GO verdict; domain packs plug in.
In this repository23 other files it gives its agents.
- bio-diagramSkill
- claim-gateSkill
- cli-subagentsSkill
- cluster-autoscoutSkill
- cluster-rulesSkill
- codex-offloadSkill
- deslopSkill
- doc-build-gateSkill
- experiment-preflight-singlecellSkill
- fail-loud-pipelinesSkill
- gwas-analysisSkill
- job-watchSkill
- lab-notebookSkill
- paper-outlineSkill
- phase-delegationSkill
- reproducibleSkill
- rigor-reviewSkill
- run-status-boardSkill
- science-daemon-opsSkill
- session-handoffSkill
- standing-instructionsSkill
- variant-annotationSkill
- variant-callingSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 2 are distinctive, and 1 is 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.
1
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.
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