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 agentmods add commands/mn-lizard-team/aiyu-multi-agent/mathgit clone --depth 1 https://github.com/MN-Lizard-Team/aiyu-multi-agentWhat 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 | $0.00000 | $0.00489 |
| Opus 5 | $0.00000 | $0.00244 |
| Sonnet 5 | $0.00000 | $0.00098 |
| Haiku 4.5 | $0.00000 | $0.00049 |
Grade A, and why
math 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/math
Activate math-specialist for mathematical modeling, numerical analysis, optimization, and computational algorithms.
⚠️ CURSOR OUTPUT CONTRACT
You MUST start your FIRST response with this exact agent activation line:
🤖 **Active Agent: `math-specialist`** | Skills: `clean-code, architecture, plan-writing, python-patterns, systematic-debugging`
If this line is missing from your response, you are violating the protocol. Add it before any other content.
Required Behavior
- Read the agent's full instructions from
.windsurf/agents/math-specialist.md(or.cursor/rules/agents/math-specialist.mdc) - Apply the Socratic Gate: ask clarifying questions before coding if requirements are unclear
- Follow clean-code principles: concise, no over-engineering, self-documenting
/math - Mathematics
$ARGUMENTS
🤖 Agent Activation
MANDATORY: Before starting any work, announce the active agent to the user.
🤖 **Active Agent: `math-specialist`** | Skills: `clean-code, architecture, plan-writing, python-patterns, systematic-debugging`
Task
Load .windsurf/agents/math-specialist.md and execute mathematical tasks with specialist context.
Guidelines
- Read
.windsurf/agents/math-specialist.mdfor full agent instructions - Apply mathematical rigor principles:
- Rigor over speed: A correct proof beats a fast guess
- Bound everything: Error bounds, convergence rates, complexity bounds
- Verify numerically: Analytical results must survive floating-point reality
- Choose the right tool: Symbolic for proofs, numerical for computation, statistical for data
- Communicate clearly: Math must be readable, not just correct
- Follow required skills from frontmatter for domain-specific rules
Verification Scripts
python3 .windsurf/skills/lint-and-validate/scripts/lint_runner.py .
python3 .windsurf/skills/testing-patterns/scripts/test_runner.py .
Examples
/math derive Kalman filter equations for sensor fusion
/math optimize production scheduling with linear programming
/math analyze convergence rate of iterative solver
/math implement SVD decomposition with error bounds
/math prove correctness of graph algorithm with Big-O 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 · 71 lines · 0 tokens per session scan A 5490b4aaa6bf
math is a command published in the GitHub repository MN-Lizard-Team/aiyu-multi-agent (7 stars, last pushed 3mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 489 tokens. 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.
Other commands, from other repositories
end-session
Wrap up the work session with read-only evidence gathering, owner-classified documentation handoffs, gated issue sync, Kano refinement, and git hygiene checks.
test-feature
Test a React Native feature on the running simulator/emulator. Verifies UI, user flows, and internal state. Generates a persistent Maestro test file.
commit-all
Stage and commit all current changes with a single message. Auto Git Push will pick up and push to origin within 30s.
doctor
Diagnose installation health. Check Node, CDP bridge, rn-fast-runner (iOS), rn-android-runner (Android), maestro-runner, simulators, Metro, CDP, injected helpers, ffmpeg, physical devices, plugin version, Vercel rules sync. Reports what's missing — does NOT modify your project.
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.