run-status-board
Skill1 starsChanged 41 days agoNo licenceView on GitHub
Use when the user asks about a long-running remote or cluster job: 'what is the status', 'are results done?', 'how is it going', 'when do you expect the experiments to conclude / how long until results', or before YOU say a run, wave, array, shard or seed sweep is finished, hung, timed out, walled or stuck. Builds ONE status board (status_board.md + status_board.json) from the expected unit manifest, output files that pass a validity check, and sacct/squeue text, with per-unit states (done_valid, done_invalid, running, pending, failed, missing), a throughput ETA with an interval (refused when too few units finished) and explicit timezones. Also use when a .done marker or exit code 0 is being trusted, when SLURM shows PENDING / TIMEOUT / OUT_OF_MEMORY array tasks, when comparing a log timestamp with a clock, or when resuming a run after a context reset. Every status answer must quote the board and its timestamp.
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
- experiment-preflightSkill
- fail-loud-pipelinesSkill
- gwas-analysisSkill
- job-watchSkill
- lab-notebookSkill
- paper-outlineSkill
- phase-delegationSkill
- reproducibleSkill
- rigor-reviewSkill
- 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, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
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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