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.
git clone --depth 1 https://github.com/coolnyx/libvirt-mcp-serverWrote 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/rules/coolnyx/libvirt-mcp-server/python-uv)<a href="https://agentmods.dev/rules/coolnyx/libvirt-mcp-server/python-uv"><img src="https://agentmods.dev/badge/rules/coolnyx/libvirt-mcp-server/python-uv/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/rules/coolnyx/libvirt-mcp-server/python-uv"><img src="https://agentmods.dev/badge/rules/coolnyx/libvirt-mcp-server/python-uv.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 | $0.00025 | $0.00367 |
| Opus 5.5 | $0.00010 | $0.00147 |
| Sonnet 5.5 | $0.00005 | $0.00073 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
python-uv 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.
What it actually says
使用 uv 进行包管理
这些规则定义了使用 uv 依赖管理器管理本项目中 Python 依赖项的严格准则。
✅ 仅使用 uv
- 所有 Python 依赖项必须使用
uv安装、同步和锁定。 - 切勿直接使用
pip、pip-tools或poetry进行依赖项管理。
🔁 管理依赖项
请始终使用以下命令：
# 添加或升级依赖项
uv add <package>
# 删除依赖项
uv remove <package>
# 从锁定文件重新安装所有依赖项
uv sync
🔁 脚本
# 使用正确的依赖项运行脚本
uv run script.py
您可以手动编辑内联元数据：
# /// script
# require-python = ">=3.12"
# dependency = [
# "torch",
# "torchvision",
# "opencv-python",
# "numpy",
# "matplotlib",
# "Pillow",
# "timm",
# ]
# ///
print("some python code")
或者使用 uv cli：
# 添加或升级脚本依赖项
uv add package-name --script script.py
# 删除脚本依赖项
uv remove package-name --script script.py
# 从锁定文件重新安装所有脚本依赖项
uv sync --script script.py
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 · 69 lines · 25 tokens per session scan A ab4a935dbb1d
python-uv is a cursor rule published in the GitHub repository coolnyx/libvirt-mcp-server (1 stars, last pushed 1y ago), licensed MIT. It adds 25 tokens to every session and 367 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 2026-08-31.
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