Python Scripter
SkillFiles & storageCreate robust Python automation with full logging and safety checks. Use when tasks need complex data processing, authenticated API work, conditional file operations, or error handling beyond simple shell commands.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Python Scripter skill
What this skill tells your AI
The instructions your AI receives, as published by vaayne/agent-kit in skills/python-script/SKILL.md and read by ahel’s review.
Overview
Design and run Python scripts with clear requirements, safety checks, and reproducible logging.
Workflow
{project} is the git repo name (if in a git repo) or the basename of the current working directory.
- Confirm inputs, outputs, constraints, and preferred libraries.
- Identify risky operations and secure explicit approval.
- Scaffold a script with PEP 723 metadata and structured logging.
- Lint with
uvx ruff check --fix ~/.agents/sessions/{project}/scripts/{script_name}.py. - Run with
uv run --script ~/.agents/sessions/{project}/scripts/{script_name}.pyand monitor logs. - Report results, risks encountered, and any follow-up steps.
Logging requirements
- Log to
~/.agents/sessions/{project}/logs/{script_name}.logand stream to console - Capture start/end timestamps, parameters, file operations, and errors
- Add
RotatingFileHandlerif logs may grow large
Template
Read references/script-template.md for the full script template.
Safety practices
- Provide dry-run or rollback paths
- Validate external inputs and API responses
- Use temporary directories for intermediates
- Never run destructive steps without confirmation
Signals
- GitHub stars
- 53
- Forks
- 4
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
python-script- Source
- github.com/vaayne/agent-kit