lllllllama/rigorpilot-skills
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.
What you’re adding
This skill may reference tools or services you need to set up separately. The package check shows the exact files; it does not install dependencies or run scripts.
5 files in the provider snapshot
agents/openai.yaml334 Breferences/execution-policy.md674 Bscripts/plan_variants.py10.7K Bscripts/write_outputs.py1,184 BSKILL.md3,332 B
Snapshot inspected Sep 15, 2026. Adding uses a fresh GitHub revision and checks it separately.
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- 01Inspect the source
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- 02Save a private Draft
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- 03Use the approved version
Make it available through your existing agent connection.
Observed activity
All-time installs reported by skills.sh. Daily observations start when this catalog is first synchronized.
| Date | Installs | Rank |
|---|---|---|
| Sep 9, 2026 | 310,449 | #182 |
| Sep 10, 2026 | 310,451 | #182 |
| Sep 11, 2026 | 310,454 | #182 |
| Sep 13, 2026 | 310,457 | #182 |
| Sep 14, 2026 | 310,464 | #182 |
| Sep 15, 2026 | 310,465 | #182 |
| Sep 16, 2026 | 310,467 | #185 |