lllllllama/rigorpilot-skills
explore-code
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
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.yaml326 Breferences/explore-policy.md652 Bscripts/plan_code_changes.py14.5K Bscripts/write_outputs.py1,186 BSKILL.md2,592 B
Snapshot inspected Sep 14, 2026. Adding uses a fresh GitHub revision and checks it separately.
Your vault, your checks
- 01Inspect the source
Review the exact revision, files and available capacity.
- 02Save a private Draft
Run your vault’s security scan and complete any required review.
- 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 | 310,622 | #179 |
| Sep 10, 2026 | 310,624 | #179 |
| Sep 11, 2026 | 310,627 | #179 |
| Sep 13, 2026 | 310,633 | #179 |
| Sep 14, 2026 | 310,639 | #179 |
| Sep 15, 2026 | 310,641 | #179 |
| Sep 16, 2026 | 310,645 | #182 |