SkillsAdd

lllllllama/rigorpilot-skills

env-and-assets-bootstrap

Rigor Setup skill for README-first deep learning repo reproduction.

All-time #80 First seen Mar 30, 2026
8-week activity · all time api

Installation

$ npx skills add lllllllama/rigorpilot-skills --skill env-and-assets-bootstrap
View on skills.sh ↗ GitHub repository ↗

Summary

  • 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.

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

bootstrap Similar name
bytedance/deer-flow

Generate a personalized SOUL.md through a warm, adaptive onboarding conversation. Trigger when …

1.2K installs
bootstrap Similar name
mindrally/skills

Bootstrap development guidelines for responsive layouts, components, and utility-first styling.

1.1K installs
qa-project-bootstrap Similar name
petrkindlmann/qa-skills

>- Onboard a new QA engineer to an existing codebase, or audit an existing test architecture. P…

12 installs

Security audits

Partner security reviews for this skill.

agent-trust-hub SAFE

Analyzed May 18, 2026

This skill automates the setup of research environments and identifies asset requirements (like datasets and checkpoints) by parsing repository files. It uses standard tools such as conda and pip to manage dependencies. The primary security consideration is its inherent susceptibility to indirect prompt injection when processing untrusted third-party repositories, which could influence the setup plan or installation steps.

snyk LOW

Analyzed May 18, 2026

No issues detected.

socket Score 0.9000 · 0 alerts

Analyzed May 18, 2026

  • license 1
  • maintenance 1
  • quality 0.9
  • supply chain 0.99
  • vulnerability 1

0 alerts

Also in this package

Other skills from lllllllama/rigorpilot-skills · top by installs.

npx skills add lllllllama/rigorpilot-skills
paper-context-resolver 450.8K repo-intake-and-plan 450.1K minimal-run-and-audit 450K ai-research-explore 311.2K analyze-project 311K ai-research-reproduction 310.9K explore-code 310.6K safe-debug 310.6K explore-run 310.4K run-train 310.5K

Browse all from lllllllama/rigorpilot-skills

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 484
License LICENSE
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,366 B
  • docs SUMMARY.md 487 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 450,000 installs

SKILL.md

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.
  • 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/bootstrapenv.py, scripts/plansetup.py, and scripts/prepareassets.py. Use scripts/bootstrapenv.sh only as a POSIX wrapper around the Python bootstrapper when a shell entrypoint is more convenient.