Individual skill
run-train
Rigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup verification, short-run verification, full kickoff, or resume, with command, config, seed, log, checkpoint, status, and metric evidence written to standardized `train_outputs/`. Do not use for environment setup, exploratory sweeps, speculative idea implementation, or end-to-end orchestration.
skills/run-train/SKILL.md
Source commit fb3ccdf5aa64b1fa5b1d0463e666a8bc8bc26e01
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 5, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- 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
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 2,529 bytesagents/openai.yamlasset · 331 bytesreferences/training-policy.mddoc · 1,097 bytesscripts/run_training.pyruns · 19,876 bytesscripts/write_outputs.pyruns · 1,173 bytes
Read excerpt
# run-train
Use this as the Rigor Train skill. The installed slug remains `run-train` for
compatibility.
Use the shared operating principles in
`../ai-research-reproduction/references/agent-operating-principles.md`; this skill should keep
training evidence bounded while leaving repository-specific monitoring details
to the model.
## When to apply
- When the training command has already been selected and should be executed conservatively.
- When the researcher wants startup verification, short-run verification, full training kickoff, or resume handling.