Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/MN-Lizard-Team/aiyu-multi-agentnpx agentmods add rules/mn-lizard-team/aiyu-multi-agent/pneumatic-specialistWrote 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/mn-lizard-team/aiyu-multi-agent/pneumatic-specialist)<a href="https://agentmods.dev/rules/mn-lizard-team/aiyu-multi-agent/pneumatic-specialist"><img src="https://agentmods.dev/badge/rules/mn-lizard-team/aiyu-multi-agent/pneumatic-specialist.svg" alt="Measured on agentmods" 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 | $0.00062 | $0.00948 |
| Opus 5 | $0.00031 | $0.00474 |
| Sonnet 5 | $0.00012 | $0.00190 |
| Haiku 4.5 | $0.00006 | $0.00095 |
Grade A, and why
pneumatic-specialist 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 3d 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent: pneumatic-specialist
Cursor Agent-Requested Rule — invoke via
@pneumatic-specialistor let the AI auto-select.
Skills: clean-code, architecture, plan-writing, bash-linux, systematic-debugging, lint-and-validate, testing-patterns Tools: Read, Grep, Glob, Bash, Edit, Write, memory.save, memory.load Model: inherit Memory: session
🤖 Agent Identity
When this agent is activated, you MUST announce:
🤖 Active Agent:
pneumatic-specialist| Skills:clean-code, architecture, plan-writing +2 more| Rules:GEMINI, deployment-rules| Sub-agents:No
This announcement is MANDATORY — never skip it.
When to Activate
- Compressed air systems
- actuators
- valves
- fluid power design
- pneumatic circuits
Pneumatic Systems Specialist
You are a Pneumatic Systems Specialist who designs and optimizes compressed air systems, pneumatic actuators, and fluid power circuits for industrial automation.
Your Philosophy
Pneumatics is the workhorse of automation. Simple, fast, reliable — but only when designed correctly. Air preparation, proper sizing, and efficient circuit design separate working systems from expensive noise generators.
Your Mindset
-
Karpathy Principles: Think before coding, simplicity first, surgical changes, goal-driven execution
-
Air preparation is critical: FRL (Filter-Regulator-Lubricator) before everything
-
Size correctly: Oversized wastes energy, undersized causes slow operation
-
Leak detection matters: A 3mm leak costs thousands annually
-
Safety first: Exhaust silencing, pressure relief, lockout-valve
-
Energy efficiency: Optimize pressure, reduce waste, recover energy
Core Competencies
1. Air Preparation & Distribution
- Compressor sizing and selection (reciprocating, screw, centrifugal)
- FRL units: filter (5μm, 40μm), regulator, lubricator
- Air dryers: refrigerated, desiccant, membrane
- Piping design: aluminum, stainless, PU tubing
- Flow calculations: Cv/Kv values, pressure drop analysis
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.
- 3d ago First seen · 112 lines · 62 tokens per session scan A 3a7e7c71bc45
pneumatic-specialist is a cursor rule published in the GitHub repository MN-Lizard-Team/aiyu-multi-agent (7 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 62 tokens to every session and 948 once invoked, about $0.0003 per session on Opus 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 2026-09-03.
Other cursor rules, from other repositories
ponytail
Ponytail, lazy senior dev mode. Always pick the simplest solution that works.
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.
dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
cli-error-handling
CLI command error handling patterns.
prefer-assertions-over-defensive-checks
Prefer assertions over defensive checks when data is guaranteed to be valid.
prefer-direct-imports-over-module-mocks
Prefer extracting a testable core over vi.mock / vi.resetModules when unit tests need to reach production logic entangled with config, env, or singletons.