Env And Assets Bootstrap
Published by teng-bio in codex-skills-hub
What this skill does
Environment and assets sub-skill for README-first AI 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. 中文触发词：复现环境、论文复现环境、conda环境、依赖安装、checkpoin
Add Env And Assets Bootstrap to your agent
Review the source and files first. When you are ready, copy the prompt instruction or use the CLI command supported by your environment.
Install with a prompt
Paste this into a compatible coding agent:
add this skill "env-and-assets-bootstrap" from https://github.com/teng-bio/codex-skills-hubInstall with the CLI
Run this command in a controlled environment after reviewing the repository:
npx skills add https://github.com/teng-bio/codex-skills-hub --skill env-and-assets-bootstrapSkill instructions
env-and-assets-bootstrap
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.
- When the user explicitly wants setup help before any run attempt.
When not to apply
- When the repository already ships a ready-to-run environment that does not need translation.
- When the task is only to scan and plan.
- When the task is only to report results from commands that already ran.
- When the request is a generic conda or package-management question outside repo reproduction.
Clear boundaries
- This skill prepares environment and asset assumptions.
- It does not own target selection.
- It does not own final reporting.
- It does not perform paper lookup except by forwarding gaps to the optional paper resolver.
Input expectations
- target repo path
- selected reproduction goal
- relevant README setup steps
- any known OS or package constraints
Output expectations
- conservative environment setup notes
- candidate conda commands
- asset path plan
- checkpoint and dataset source hints
- unresolved dependency or asset risks
Notes
Use references/env-policy.md, references/assets-policy.md, scripts/bootstrap_env.py, scripts/plan_setup.py, and scripts/prepare_assets.py.
Use scripts/bootstrap_env.sh only as a POSIX wrapper around the Python bootstrapper when a shell entrypoint is more convenient.
Files included
- agents/openai.yaml
- references/assets-policy.md
- references/env-policy.md
- scripts/bootstrap_env.py
- scripts/bootstrap_env.sh
- scripts/plan_setup.py
- scripts/prepare_assets.py
- SKILL.md