Explore Code
Rigor Improve implementation leaf skill for auditable candidate implementation 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 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.
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-code 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:ff9e58b29477207241aace478d9a045b864441322453632849fb0a5e4af8374e
- Licence
- MIT
Files in the scanned package
| File | Size |
|---|---|
| SKILL.md | 2.5 KB |
| agents/openai.yaml | 326 bytes |
| references/explore-policy.md | 652 bytes |
| scripts/plan_code_changes.py | 14.2 KB |
| scripts/write_outputs.py | 1.2 KB |
Try Explore Code in your agent.
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning...