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 jiushiwon/wg-skills --skill python-install-skillgit clone --depth 1 https://github.com/jiushiwon/wg-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/jiushiwon/wg-skills/python-install-skill)<a href="https://agentmods.dev/skills/jiushiwon/wg-skills/python-install-skill"><img src="https://agentmods.dev/badge/skills/jiushiwon/wg-skills/python-install-skill/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/jiushiwon/wg-skills/python-install-skill"><img src="https://agentmods.dev/badge/skills/jiushiwon/wg-skills/python-install-skill.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 | $0.00049 | $0.00451 |
| Opus 5.5 | $0.00020 | $0.00180 |
| Sonnet 5.5 | $0.00010 | $0.00090 |
| Haiku 4.5 | $0.00005 | $0.00045 |
Grade A, and why
python-install-skill 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 17d 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.
What it actually says
Python Install Skill
Overview
本技能负责在目标服务器上安装 Python3。支持多种安装方式，幂等检测。
When to Use
触发词：
- 安装 Python
- 装 Python
- install python
交互流程
1. 检测当前系统（OS + 版本 + 包管理器）
2. 询问安装方式（包管理器 / Docker）
3. 询问版本（3.12 / 3.11 / 3.10）
4. 检测是否已安装
5. 执行安装（幂等）
6. 输出验证命令
安装方式
包管理器安装
| OS | 安装命令 |
|---|---|
| Ubuntu/Debian | apt install python3.12 + deadsnakes PPA |
| CentOS/RHEL | dnf install python3.12 |
| macOS | brew install python3.12 |
| Windows | winget install Python.3.12 |
Docker 安装
docker pull python:3.12
版本选择
- Python 3.12（最新）
- Python 3.11（稳定）
- Python 3.10（老项目兼容）
输出
# Python 安装完成
## 系统信息
- OS: Ubuntu 22.04 LTS
- 包管理器: apt
## 安装结果
- 版本: Python 3.12.0
- 安装方式: apt
- 状态: ✅ 已安装
## 验证命令
python3 --version
pip3 --version
Resources
- references/install-commands.md — 各 OS 安装命令
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.
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.
- 17d ago First seen · 76 lines · 49 tokens per session scan A 5f5ed055c081
python-install-skill is a skill published in the GitHub repository jiushiwon/wg-skills (119 stars, last pushed 3d ago), licensed Apache-2.0. It adds 49 tokens to every session and 451 once invoked, about $0.0002 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 2026-09-30.
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