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.
npx skills add CHENyiru3/AI-Skills-Collections --skill cli-developmentgit clone --depth 1 https://github.com/CHENyiru3/AI-Skills-CollectionsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/chenyiru3/ai-skills-collections/cli-development)<a href="https://agentmods.dev/skills/chenyiru3/ai-skills-collections/cli-development"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/cli-development/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/chenyiru3/ai-skills-collections/cli-development"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/cli-development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00079 | $0.00858 |
| Opus 5.5 | $0.00032 | $0.00343 |
| Sonnet 5.5 | $0.00016 | $0.00172 |
| Haiku 4.5 | $0.00008 | $0.00086 |
Grade A, and why
building-python-clis 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 6d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python CLI Development
Framework Selection
Click (Recommended): Mature, extensive features Typer: Modern, type-hint focused argparse: Zero dependencies, standard library
Click Quick Start
import click
@click.group()
@click.version_option(version='1.0.0')
def cli():
"""My CLI tool."""
pass
@cli.command()
@click.argument('input_file', type=click.Path(exists=True))
@click.option('--output', '-o', default='-', help='Output file')
@click.option('--verbose', '-v', is_flag=True)
def process(input_file, output, verbose):
"""Process an input file."""
if verbose:
click.echo(f"Processing {input_file}")
# ...
if __name__ == '__main__':
cli()
Entry Point (pyproject.toml)
[project.scripts]
mycli = "my_package.cli:cli"
[project.optional-dependencies]
cli = ["click>=8.0"]
Common Patterns
# File I/O with stdin/stdout support
@click.argument('input', type=click.File('r'), default='-')
@click.argument('output', type=click.File('w'), default='-')
# Progress bar
with click.progressbar(items, label='Processing') as bar:
for item in bar:
process(item)
# Colored output
click.secho("Success!", fg='green', bold=True)
click.secho("Error!", fg='red', err=True)
# Error handling
if not valid:
raise click.BadParameter(f'Invalid value: {value}')
Testing with CliRunner
from click.testing import CliRunner
from mypackage.cli import cli
def test_process():
runner = CliRunner()
result = runner.invoke(cli, ['process', 'input.txt'])
assert result.exit_code == 0
assert 'expected output' in result.output
def test_stdin():
runner = CliRunner()
result = runner.invoke(cli, ['process', '-'], input='test data\n')
assert result.exit_code == 0
Shell Completion
# Generate completion scripts
_MYCLI_COMPLETE=bash_source mycli > ~/.mycli-complete.bash
_MYCLI_COMPLETE=zsh_source mycli > ~/.mycli-complete.zsh
For detailed patterns, see:
- CLICK_PATTERNS.md - Advanced Click usage
- TYPER_GUIDE.md - Typer alternative
What ships with it
2 files 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.
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.
- 6d ago First seen · 126 lines · 79 tokens per session scan A 9b4654bb2074
building-python-clis is a skill published in the GitHub repository CHENyiru3/AI-Skills-Collections (1 stars, last pushed 7d ago), licensed MIT. It adds 79 tokens to every session and 858 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-02.
Other skills, from other repositories
content-hash-cache-pattern
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python-release
Handle Python SDK release, build, bump, packaging metadata, PyPI client pin, uv.lock, nox/build workflow, and publish verification changes. Use for Python release process work or dependency pin bumps; do not use for ordinary Python feature implementation.
notebook.refactor_to_utils
Move or add notebook code to a utils.py library file.
notebook.split_header_cells
Split notebook header cells so each cell has a single header and comment.
python-cli-ops
CLI application patterns for Python. Triggers on: cli, command line, typer, click, argparse, terminal, rich, console, terminal ui.
notebook.split_cells
Split Jupyter notebook cells so each cell performs only one logical task.