python-script

A method for writing small, standalone Python command-line scripts with their dependencies listed inside the file. The scripts run with uv, a Python tool for managing and executing them, without needing a full project setup.

In plain words
What is it for?
It is for quick command-line tools, temporary agent scripts, data processing, and other small Python jobs that need external packages but do not justify a full project.
Why use it?
It avoids creating a virtual environment, project configuration, and other scaffolding for a one-off automation or data task. It also provides conventions for typed arguments, formatted output, and safe error handling.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/fmind/dotfiles/python-script
Any agent
npx skills add fmind/dotfiles --skill python-script
Clone the repo
git clone --depth 1 https://github.com/fmind/dotfiles

Made for: Claude Code, Codex.

Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 656 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00034 $0.00656
Opus 5 $0.00017 $0.00328
Sonnet 5 $0.00007 $0.00131
Haiku 4.5 $0.00003 $0.00066

Measured yesterday against content hash 1d7f16216072, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

python-script scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

The scan reads SKILL.md. This mod also ships 1 executable file (references/script.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/python-script/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PEP 723 Standalone Python Scripts

Write single-file Python CLI scripts with inline dependency metadata (PEP 723) executed via uv run — no virtualenv, no pyproject.toml, no project scaffolding required.

When to Use

  • Agent scratch scripts (store in .agents/tmp/).
  • Any situation where a full Python project is overkill.
  • Quick automation, data processing, or one-off CLI tools.

Template

Base every script on script.py. Key elements:

  1. Shebang + PEP 723 block (must be at the top of the file):
    #!/usr/bin/env -S uv run --quiet --script
    # /// script
    # requires-python = ">=3.14"
    # dependencies = [
    #     "rich>=15.0.0",
    #     "typer>=0.27.0",
    # ]
    # ///
    
  2. CLI framework: Use Typer with Rich for argument parsing and formatted output.
  3. Dual consoles: Console() for stdout results, Console(stderr=True) for logs/errors.
  4. Typed arguments: Use Annotated[..., typer.Argument/Option(...)] with help text.
  5. Error handling: Catch exceptions at the CLI boundary with err.print_exception(show_locals=False) and exit via raise typer.Exit(code=1) from None; never render locals because they can contain secrets.

Execution

# Direct execution (after chmod +x)
./script.py input.txt

# Or via uv explicitly
uv run script.py input.txt --verbose

uv resolves and caches the declared dependencies automatically — no manual install step.

For a durable script, commit its adjacent lockfile so future runs reuse the same resolution:

uv lock --script script.py
uv run --locked --script script.py input.txt

Guidelines

  • Pin requires-python to the minimum version you need (e.g., >=3.14).
  • Declare dependency lower bounds (e.g., rich>=15.0.0) for compatibility. Lower bounds alone are not reproducible; use uv lock --script for a durable script.
  • Keep it single-file — if the script grows beyond ~200 lines or needs multiple modules, switch to a full project via the python-stack skill.
  • No bare except — outside the CLI boundary handler above (which prints the full traceback before exiting non-zero), let unexpected errors propagate.

Read the full file on GitHub · 67 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 67 lines · 34 tokens per session scan A 1d7f16216072

Subscribe to this mod's changes

python-script is a skill published in the GitHub repository fmind/dotfiles (4 stars, last pushed 2d ago), licensed MIT. It adds 34 tokens to every session and 656 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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