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Vigilante issue implementation on python

Skill aliengiraffe/vigilante/skills/vigilante-issue-implementation-on-python

Implement a GitHub issue end-to-end when Vigilante dispatches work for a Python repository with idiomatic tooling and security guidance.From its SKILL.md

Install
npx -y skills add aliengiraffe/vigilante --skill vigilante-issue-implementation-on-python

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

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Vigilante Python Issue Implementation

Focus

  • Read the prompt for detected tech stacks, process hints, and Python security guidance before changing code.
  • Follow idiomatic Python conventions already established by the repository and keep changes scoped to the issue.
  • Prefer the repository's existing environment, dependency, formatting, linting, typing, and test workflows over inventing a new stack.

Python Tooling Workflow

  • Environment: use the repository's documented bootstrap or environment workflow first. When no repo-specific workflow exists, prefer isolated environments such as venv rather than ad hoc global installs.
  • Formatting and linting: run the repository's established formatter and linter for touched files. When the repository already uses Ruff, prefer ruff format and ruff check; when it uses Black, use black. Do not introduce repo-wide formatting churn unrelated to the issue.
  • Typing: run the repository's existing typing checks when present, such as mypy, pyright-style tooling, or equivalent configured commands.
  • Testing: run targeted pytest or repo-standard test commands for the changed area first, then broaden scope when needed.
  • Dependency and package security: when dependency or packaging changes are involved, run repo-standard audit tooling. Use pip-audit when it is already part of the repo workflow or otherwise clearly available and relevant.
  • Dependencies: prefer standard library modules when they cover the need. Keep dependency manifests and lockfiles consistent when adding or updating packages.

Idiomatic Python

  • Follow existing project conventions for layout, imports, and naming instead of forcing a new style.
  • Prefer small, explicit functions, early returns, and straightforward exception handling.
  • Add or update docstrings only where the repository already expects them or where a public API change needs clear documentation.
  • Avoid broad cleanup or modernization unrelated to the issue.

Security

  • Prefer secrets over random for security-sensitive values.
  • Avoid unsafe pickle usage or deserializing untrusted data with Python-native object loaders.
  • Be careful with subprocess: prefer explicit argument lists, avoid shell=True unless required and safely constrained, and validate any external input passed to commands.
  • Treat file paths and untrusted input defensively to avoid traversal, injection, and unintended file access.
  • Do not store secrets, tokens, or credentials in source files.

Workflow

  • Follow the base vigilante-issue-implementation workflow for issue comments, validation, push, and PR creation, including stacked base-branch detection (Base branch: directive in the issue body).
  • Use vigilante commit for all commit-producing operations. Do not use git commit or GitHub CLI commit flows directly.
  • Any commit or amend must preserve the user's existing git author, committer, and signing configuration. Commit on behalf of the user and do not overwrite git config with a coding-agent identity.
  • Do not add Co-authored by: trailers or any other agent attribution for Codex, Claude, Gemini, or similar coding-agent identities.

Repository Overrides

  • Repository-specific instructions (AGENTS.md, README.md, CI config, tool config files) remain authoritative when they are more specific than the generic Python guidance in this skill.

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