Enforce Python changes to follow checked-in tooling and bootstrap rules.
npx skills add https://github.com/hack-ink/codexlab --skill python-policy
Please help me install this Agent Skill. Skill: python-policy Source: https://github.com/hack-ink/codexlab/tree/main/.codex/skills/python-policy Command: npx skills add https://github.com/hack-ink/codexlab --skill python-policy
This policy document ensures Python changes align with the repository's checked-in tooling and bootstrap rules, rather than personal defaults.
Consult this policy before modifying Python code to ensure your changes follow the project's configured tooling and bootstrap rules.
High-intent search queries and answers about installing and using this skill.
Enforce Python runtime safety by aligning code changes with the project's checked-in tooling and bootstrap path, using documented config and CI commands to minimize environment drift.
A Python bootstrap path is the project's authoritative runtime selection and tooling setup mechanism. You need it when modifying Python services, libraries, or tooling to ensure reproducible environments.
Python CI pipelines fail from environment drift when changes rely on personal defaults instead of the project's checked-in tooling. Following the repository's bootstrap rules and project-configured environments prevents this.
Manage Python project-configured environments by following the repository's checked-in bootstrap paths and documented CI commands, avoiding personal environment changes to maintain build consistency.
Yes, this Python policy applies to Python services, libraries, and tooling within hack-ink repositories whenever Python code or tooling is touched, governing environment management and dependency handling.
No, you should not use personal local runtimes. The policy requires following the project's bootstrap and runtime selection rules to ensure changes align with checked-in tooling for reproducibility.
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