Explore Run
Rigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning...
Works in any agent
2 static scans, 0 counted findings.
Recorded for this package revision; Edge checks the exact bundle again when your agent loads it.
What this skill does for you
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.
Quoted from the skill description in the pinned sourceUse it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the explore-run skill from lllllllama/rigorpilot-skills.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-29 | Pass | 0 |
| Edge committed-secret checks | 2026-09-29 | Pass | 0 |
Static scans check the code, not how well the skill works.
Scanner scope, raw findings and mirrored provider records
Edge static checks (Edge-run): edge-static/1.0.0. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: fb3ccdf5aa64b1fa5b1d0463e666a8bc8bc26e01. Raw findings: not supplied. Counted findings: .
Edge committed-secret checks (Edge-run): edge-secrets/1.0.0. Scope: Credentials committed in the skill's files (values never shown). Revision: fb3ccdf5aa64b1fa5b1d0463e666a8bc8bc26e01. Raw findings: not supplied. Counted findings: .
Socket (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.
Snyk (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.
Source and licence
- Repository
- https://github.com/lllllllama/rigorpilot-skills
- Pinned skill file
- View source at revision
- Revision
- fb3ccdf5aa64b1fa5b1d0463e666a8bc8bc26e01
- Package hash
- sha256:3cdbc1172d65bd7ccd431f0f4e4c912f08c8e3137589920670d25ecbd031967a
- Licence
- MIT
Files in the scanned package
| File | Size |
|---|---|
| SKILL.md | 3.3 KB |
| agents/openai.yaml | 334 bytes |
| references/execution-policy.md | 674 bytes |
| scripts/plan_variants.py | 10.5 KB |
| scripts/write_outputs.py | 1.2 KB |
Try Explore Run in your agent.
Rigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning...