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/Datai-Network/datai-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/datai-network/datai-mcp-server/python-testing)<a href="https://agentmods.dev/rules/datai-network/datai-mcp-server/python-testing"><img src="https://agentmods.dev/badge/rules/datai-network/datai-mcp-server/python-testing/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/datai-network/datai-mcp-server/python-testing"><img src="https://agentmods.dev/badge/rules/datai-network/datai-mcp-server/python-testing.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 | $0.04070 | $0.04070 |
| Opus 5.5 | $0.01628 | $0.01628 |
| Sonnet 5.5 | $0.00814 | $0.00814 |
| Haiku 4.5 | $0.00407 | $0.00407 |
Grade A, and why
python-testing scanned grade A with 1 finding 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
process = subprocess.run( The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 614 lines · 4,070 tokens per session scan A 5dd6d46aa3b1
python-testing is a cursor rule published in the GitHub repository Datai-Network/datai-mcp-server (3 stars, last pushed 1y ago), with no licence file. It adds 4,070 tokens to every session, about $0.0163 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other cursor rules, from other repositories
hypothesis
Definitive guidelines for writing robust, maintainable, and performant property-based tests using Hypothesis with Python and pytest.
mypy
This guide provides definitive, actionable best practices for using mypy to ensure robust static type checking in Python projects, focusing on modern patterns and common pitfalls.
production-code
Production code rule — TDD precondition + Spring Boot 4 conventions.
python-general-coding-standards
A set of general standards for Python projects, including type hints, input checking, code style, security, web requests, background work, and tests. It also covers FastAPI-specific tasks such as CORS and authentication.
style
Cursor rule "style" from Ayanami1314/swe-pruner, covering style guide, bad, good, test style and bad.
hatch3r-python-patterns
Python 3.12+ conventions covering uv project management, Ruff lint+format, mypy strict typing, pytest parametrize, and the FastAPI/Django request-path + ORM N+1 floor.