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 zhengbingquant/frontier-skills --skill new-python-projectgit clone --depth 1 https://github.com/zhengbingquant/frontier-skillsWrote 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/zhengbingquant/frontier-skills/new-python-project)<a href="https://agentmods.dev/skills/zhengbingquant/frontier-skills/new-python-project"><img src="https://agentmods.dev/badge/skills/zhengbingquant/frontier-skills/new-python-project/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/zhengbingquant/frontier-skills/new-python-project"><img src="https://agentmods.dev/badge/skills/zhengbingquant/frontier-skills/new-python-project.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 | $0.00131 | $0.01783 |
| Opus 5.5 | $0.00052 | $0.00713 |
| Sonnet 5.5 | $0.00026 | $0.00357 |
| Haiku 4.5 | $0.00013 | $0.00178 |
Grade A, and why
new-python-project 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 1mo 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
New Python Project
This skill instantiates the scaffold stored in assets/template/. The
scaffold's guarantees: a fresh generation installs cleanly, passes
make test, and answers --help before any feature code is written. Do
not improvise a different layout when this skill applies.
1. When to use / when not
- Use: any brand-new Python repo — tool, library, CLI, service skeleton, experiment that may outlive the week.
- Do not use: adding code to an existing project (respect its existing
layout instead), or a non-Python project (you may still copy the
conventions in
assets/OPERATING_MANUAL.md, which are language-agnostic; only the template itself is Python).
2. Gather the three inputs
Derive these without asking, unless the rules below force a question:
- project_name — kebab-case, from the user's own words for the thing
(e.g. "a log deduplicator" →
log-deduplicator). Strip filler words. Rules: lowercase letters, digits, hyphens only; must not collide with an existing directory at the target location. - package_name —
project_namewith hyphens replaced by underscores. Must be a valid Python identifier: if it starts with a digit or clashes with a stdlib module name you know (e.g.json,test), prefix or reword it, and note the choice. - description — one sentence, taken from the user's request. If the request contains no describable purpose, use a neutral one-liner and flag in your report that the description is a placeholder.
Only ask the user if the project's purpose is genuinely unknowable from the request — never ask about naming mechanics.
3. Choose the target directory
| Situation | Target |
|---|---|
| User named a path | that path |
| Current directory is empty or clearly meant to become the project | current directory |
| Otherwise | a new sibling directory named <project_name> under the user's usual projects location (default: home or current directory) |
Never generate inside another project's source tree.
What ships with it
17 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.
- assets/DEFINITION_OF_DONE.md 1.2 KB
- assets/OPERATING_MANUAL.md 4.0 KB
- assets/REVIEW_CHECKLIST.md 2.1 KB
- assets/template/.gitignore 188 B
- assets/template/AGENTS.md 1.7 KB
- assets/template/CLAUDE.md 81 B
- assets/template/docs/DECISIONS.md 494 B
- assets/template/docs/OPERATING.md 815 B
- assets/template/Makefile 361 B
- assets/template/pyproject.toml 611 B
- assets/template/README.md 1.1 KB
- assets/template/src/package_name/__init__.py 45 B runs code
- assets/template/src/package_name/__main__.py 144 B runs code
- assets/template/src/package_name/cli.py 592 B runs code
- assets/template/tests/conftest.py 203 B runs code
- assets/template/tests/test_smoke.py 746 B runs code
- scripts/new_project.py 3.9 KB runs code
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.
- 1mo ago First seen · 140 lines · 131 tokens per session scan A c0376d8c0705
new-python-project is a skill published in the GitHub repository zhengbingquant/frontier-skills (1 stars, last pushed 3mo ago), licensed MIT. It adds 131 tokens to every session and 1,783 once invoked, about $0.0005 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 2026-08-31.
Other skills, from other repositories
python-idioms
Modern Python (3.11+) idioms: type annotations, typing Protocols, Pydantic models, asyncio, pytest fixtures, and Ruff/Mypy strict compliance. Use when writing, refactoring, or reviewing Python applications, APIs, or scripts.
django-idioms
Django and Django REST Framework (DRF) patterns: ORM queries, model managers, class-based views, serializers, migrations, and pytest-django testing. Use when building or maintaining Django backend applications. Pair with python-idioms.
modal-deploy
Deploy a Modal function from a local Python file.
python-code
Make sure to ALWAYS use this skill when working with python code! Help designing, structuring, and maintaining Python projects, including virtualenvs, packaging, SQLite (sql3) usage, documentation of bug fixes, and clear commenting practices.
temp-file-python-analysis
Inline Python in shell scripts has quoting issues.
python-rules
Python-specific patterns: uv/poetry virtual environments, python -m imports, version pinning, pip restrictions on macOS.