Individual skill

explore-run

Rigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as small-subset validation, short-cycle guess-and-check, batch sweeps, idle-GPU search, or quick transfer-learning trials, with fair-comparison caveats and no-overclaim summaries in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline execution, conservative training verification, default routing, verified SOTA claims, or implicit experimentation.

skills/explore-run/SKILL.md

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Observed behavior: Local scripts
Last checked: Nov 10, 2026

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Repository stars (not skill ratings): 486
Repository last updated: Sep 23, 2026
License: MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

agent-skills Repository topic
ai-agents Repository topic
deep-learning Repository topic
reproducibility Repository topic
research-tools Repository topic
research Derived category
education Derived category
testing Derived category
testing-browser Derived category

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SKILL.mdcore · 3,332 bytes
agents/openai.yamlasset · 334 bytes
references/execution-policy.mddoc · 674 bytes
scripts/plan_variants.pyruns · 10,708 bytes
scripts/write_outputs.pyruns · 1,184 bytes

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# explore-run

Use this as the Rigor Improve / Rigor Explore run leaf skill. The installed slug
remains `explore-run` for compatibility.

Use the shared operating principles in
`../ai-research-reproduction/references/agent-operating-principles.md`; this skill should guide
candidate run planning while preserving model judgment about the active repo.

## When to apply

- When the researcher explicitly authorizes exploratory runs.
- When the task is a small-subset validation, short-cycle training probe, batch sweep, idle-GPU search, or quick transfer-learning trial.
- When the output should rank candidate runs rather than certify trusted success.