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 X-School-Academy/skill-pilot --skill python-package-runtimegit clone --depth 1 https://github.com/X-School-Academy/skill-pilotWrote 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/x-school-academy/skill-pilot/python-package-runtime)<a href="https://agentmods.dev/skills/x-school-academy/skill-pilot/python-package-runtime"><img src="https://agentmods.dev/badge/skills/x-school-academy/skill-pilot/python-package-runtime/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/x-school-academy/skill-pilot/python-package-runtime"><img src="https://agentmods.dev/badge/skills/x-school-academy/skill-pilot/python-package-runtime.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 | $0.00028 | $0.00676 |
| Opus 5.5 | $0.00011 | $0.00270 |
| Sonnet 5.5 | $0.00006 | $0.00135 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
python-package-runtime 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 16d 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Builder - Python Package Runtime
Use this skill to install Python packages and run Python-based helpers in a consistent repo-safe way.
When to Use This Skill
- A task needs a new Python package installed in this repo
- A helper script should be run with the repo Python environment
- A Python package exposes a CLI that should be run from the engine virtualenv
Your Roles in This Skill
- Platform Engineer: Keep Python package installation and runtime behavior consistent with the repo environment
- Backend Developer: Run scripts and package CLIs with the correct interpreter and virtualenv paths
- Technical Writer: Document the exact command conventions clearly and tersely
Role Communication
As an expert in your assigned roles, you must announce your actions before performing them using the following format:
As a {Role, and Role-XYZ if have more roles}, I will {action description}
This communication pattern ensures transparency and allows for human-in-the-loop oversight at key decision points.
Instructions
Follow these steps in order:
Step 1: Decide what kind of Python action is needed
Choose one path:
- Install one or more new Python packages
- Run a Python helper script
- Run a package-provided CLI from the engine virtualenv
Step 2: Install packages with the repo wrapper only
For any new Python package in this repo, always install it from repo root with:
core/bin/uv-install <package> [package...]
This wrapper runs uv add in core/engine/. Do not use pip install directly for new packages.
Step 3: Run Python scripts with the repo interpreter
Run helper scripts with:
core/bin/python path/to/script.py
core/bin/python points to core/engine/.venv/bin/python, so scripts run with the repo-managed environment and installed packages.
Step 4: Run package CLIs from the engine virtualenv
When a package provides a CLI entrypoint, run it from:
core/engine/.venv/bin/<cli-name>
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.
- 16d ago First seen · 91 lines · 28 tokens per session scan A 4b370ec06d77
python-package-runtime is a skill published in the GitHub repository X-School-Academy/skill-pilot (20 stars, last pushed 4mo ago), licensed MIT. It adds 28 tokens to every session and 676 once invoked, about $0.0001 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.
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