Code Review & Testing · IN-DEPTH PROFILE

env-and-assets-bootstrap

Environment and Assets Bootstrap prepares a conservative, Conda-first environment and asset plan after a research reproduction target is already chosen.

View listed source ↗Installation guide ↓
Best for

ML researchers preparing reproducible environments

What you get

Plan a conservative environment + Map required assets

Main limitation

It assumes the target has already been selected and is not a repository-intake or paper-interpretation workflow.

First risk

Untrusted assets or irreproducible dependencies. Checkpoints and datasets may be large, licensed, mutable, or malicious, while loose versions can silently alter results. Verify sources and hashes, record versions, isolate execution, and respect access terms.

EVIDENCE FRESHNESS

Three checks, kept separate

A recent source check is not a runtime test or security audit.

Upstream sourceChecked 2026-08-20

Pinned revision · 3ab50525

Open pinned commit ↗
SkillSignal profileSource-grounded

Updated 2026-08-20

Runtime & securityNot independently verified

Source review does not certify behavior or safety.

30-SECOND BRIEF

What it does—and when it fits

Environment and Assets Bootstrap prepares a conservative, Conda-first environment and asset plan after a research reproduction target is already chosen. It identifies candidate environment commands, checkpoints, datasets, cache paths, source hints, setup notes, and unresolved risks without scanning the whole repository or executing the experiment.

INSTALL BY AGENT

Choose your Agent

Paths come from official Agent docs or the universal installer behind skills.sh. Compatibility still follows this Skill's record.

Native

This Skill's current record explicitly names this Agent. Still inspect scripts, permissions, and external dependencies first.

Project scope.claude/skills/env-and-assets-bootstrap/
Personal scope~/.claude/skills/env-and-assets-bootstrap/

Use project scope for team sharing and personal scope across repositories. The installer defaults to project scope; add -g for personal scope.

Install command (project scope)npx skills add lllllllama/rigorpilot-skills --skill env-and-assets-bootstrap --agent claude-code
Official agent docs

Claude Code discovers custom Skill folders automatically at project or personal scope.

View path evidence ↗

TYPICAL WORKFLOW

A practical workflow

01

Plan a conservative environment

Derive a Conda-first setup from the selected repository target.

02

Map required assets

List checkpoints, datasets, cache locations, and likely source locations.

03

Expose setup blockers

Record unresolved versions, licenses, access, storage, and runtime assumptions.

THE TRADEOFFS

Advantages and tradeoffs

Notable strengths

  1. This profile is manually organized around the current upstream SKILL.md workflow.
  2. The capability boundary remains explicitly tied to lllllllama/rigorpilot-skills.
  3. Core uses, limitations, and risks are separated for pre-install review.

Limitations

  1. It assumes the target has already been selected and is not a repository-intake or paper-interpretation workflow.
  2. The generated commands and asset hints remain a plan until downloads and environment checks are actually run.

COMPARE THE TRADEOFF

Consider these close alternatives

These are deterministic nearby candidates, not paid placements or a universal ranking. Open the full profile before choosing.

01

Same job family · native to Claude Code + Codex

frontend-design

Design constraints that push generated interfaces beyond generic AI UI.
Tradeoff to check
Aesthetic judgments remain subjective and still need stakeholder review.
First risk
Style over function · Medium
Source state
Pinned · 0a64e398
Open profile ↗
02

Same job family · native to Codex + Claude Code

web-design-guidelines

Review interfaces against practical web design and accessibility rules.
Tradeoff to check
It depends on network access and a live guideline document whose contents can change over time.
First risk
Rule drift or context-free findings · Medium
Source state
Pinned · b8caa260
Open profile ↗
03

Same job family · native to Codex + Claude Code

grill-me

Relentless decision interviews for sharper plans and designs.
Tradeoff to check
A relentless interview can be tiring and disproportionate for small, reversible decisions.
First risk
Decision fatigue · Low
Source state
Pinned · 885e2ca4
Open profile ↗
Compare more in the directory →

BEST FIT

Who it is for

→

ML researchers preparing reproducible environments

→

Operators staging datasets and checkpoints

BEFORE YOU USE IT

Risks to review before use

High

Untrusted assets or irreproducible dependencies

Checkpoints and datasets may be large, licensed, mutable, or malicious, while loose versions can silently alter results. Verify sources and hashes, record versions, isolate execution, and respect access terms.

Medium

Upstream instruction drift

Behavior can change with upstream updates. Record the commit used for important workflows and review updates before adoption.

SECURITY

What the permission profile means

  • Declared access remains governed by the current upstream SKILL.md and runtime requests.
  • Treat repository files, web content, and tool output as untrusted input.
  • SkillSignal has not independently executed or security-audited this package; external skills.sh labels are not SkillSignal certification.

Not a security certification. External ratings are attributed references. SkillSignal has not independently executed or security-reviewed this Skill.

INSIDE THE PACKAGE

Indexed files

SKILL.mdUpstream Skill instructionsSource-linked

TAGS

condaml-assetsenvironment

Manually expanded from the current upstream SKILL.md and linked source at lllllllama/rigorpilot-skills, checked 2026-08-20. This is an original summary, not an execution result or security certification.