Individual skill
env-and-assets-bootstrap
Rigor Setup skill for README-first deep learning repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for repo scanning, full orchestration, paper interpretation, final run reporting, or generic environment setup that is not tied to a specific reproduction target.
skills/env-and-assets-bootstrap/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
- No
- 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
- docs Derived category
- productivity Derived category
- research Derived category
- education Derived category
- productivity-notes 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 · 2,366 bytesSKILL.mdcore · 2,366 bytesagents/openai.yamlasset · 314 bytesreferences/assets-policy.mddoc · 826 bytesreferences/env-policy.mddoc · 1,171 bytesscripts/bootstrap_env.pyruns · 5,365 bytesscripts/bootstrap_env.shruns · 270 bytesscripts/plan_setup.pyruns · 4,795 bytesscripts/prepare_assets.pyruns · 4,288 bytes
Read excerpt
# env-and-assets-bootstrap
Use this as the Rigor Setup skill. The installed slug remains
`env-and-assets-bootstrap` for compatibility.
Use the shared operating principles in
`../ai-research-reproduction/references/agent-operating-principles.md`; this skill should keep setup
planning conservative while leaving environment-specific judgment to the model.
## When to apply
- After repo intake identifies a credible reproduction target.
- When environment creation or asset path preparation is needed before running commands.
- When the repo depends on checkpoints, datasets, or cache directories.