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environment-setup

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Mis à jour21 juillet 2026 à 01:52

Create and verify the experiment runtime environment

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Source

OpenDFM

OpenDFM/Xcientist

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Métiers associésSOC

Basé sur la classification professionnelle SOC

Développeurs de logicielsProfessions informatiques et mathématiques·SOC 15-1252

SKILL.md

readonly

name	environment-setup
description	Create and verify the experiment runtime environment
argument-hint
allowed-tools	Bash(*), Read, Edit, Write, Glob, Grep, Agent
license	MIT

Environment Setup

Mission

Prepare the local execution environment required by the experiment workspace.

Protocol

Create or validate the project virtual environment.
Install only the dependencies required for the planned runs.
Record which real models are API-backed versus local-checkpoint-backed so prepare can declare them in its reviewer-approved handoff reports.
Record environment status, commands, and blockers in a structured report.

Hard Rules

Do not mark the environment ready unless the target venv exists and basic activation/import checks pass.
Never print secret values; only record variable names and purposes.
If the formal path needs local checkpoints, do not leave the model target unspecified; record it clearly so the dataset/model acquisition step can fetch it.

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name	environment-setup
description	Create and verify the experiment runtime environment
argument-hint
allowed-tools	Bash(*), Read, Edit, Write, Glob, Grep, Agent
license	MIT

Environment Setup

Mission

Prepare the local execution environment required by the experiment workspace.

Protocol

Create or validate the project virtual environment.
Install only the dependencies required for the planned runs.
Record which real models are API-backed versus local-checkpoint-backed so prepare can declare them in its reviewer-approved handoff reports.
Record environment status, commands, and blockers in a structured report.

Hard Rules

Do not mark the environment ready unless the target venv exists and basic activation/import checks pass.
Never print secret values; only record variable names and purposes.
If the formal path needs local checkpoints, do not leave the model target unspecified; record it clearly so the dataset/model acquisition step can fetch it.