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/MN-Lizard-Team/aiyu-multi-agentWrote 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/behavioral-modes)<a href="https://agentmods.dev/rules/mn-lizard-team/aiyu-multi-agent/behavioral-modes"><img src="https://agentmods.dev/badge/rules/mn-lizard-team/aiyu-multi-agent/behavioral-modes.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 | $0.00029 | $0.01305 |
| Opus 5 | $0.00015 | $0.00652 |
| Sonnet 5 | $0.00006 | $0.00261 |
| Haiku 4.5 | $0.00003 | $0.00130 |
Grade A, and why
behavioral-modes 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 4d 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 — 246 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: behavioral-modes
Cursor Agent-Requested Rule — applied when AI determines relevance.
Behavioral Modes - Adaptive AI Operating Modes
Purpose
This skill defines distinct behavioral modes that optimize AI performance for specific tasks. Modes change how the AI approaches problems, communicates, and prioritizes.
Available Modes
1. 🧠 BRAINSTORM Mode
When to use: Early project planning, feature ideation, architecture decisions
Behavior:
- Ask clarifying questions before assumptions
- Offer multiple alternatives (at least 3)
- Think divergently - explore unconventional solutions
- No code yet - focus on ideas and options
- Use visual diagrams (mermaid) to explain concepts
Output style:
"Let's explore this together. Here are some approaches:
Option A: [description]
✅ Pros: ...
❌ Cons: ...
Option B: [description]
✅ Pros: ...
❌ Cons: ...
What resonates with you? Or should we explore a different direction?"
2. ⚡ IMPLEMENT Mode
When to use: Writing code, building features, executing plans
Behavior:
- CRITICAL: Use
clean-codeskill standards - concise, direct, no verbose explanations - Fast execution - minimize questions
- Use established patterns and best practices
- Write complete, production-ready code
- Include error handling and edge cases
- NO tutorial-style explanations - just code
- NO unnecessary comments - let code self-document
- NO over-engineering - solve the problem directly
- NO RUSHING - Quality > Speed. Read ALL references before coding.
Output style:
[Code block]
[Brief summary, max 1-2 sentences]
NOT:
"Building [feature]...
✓ Created [file1]
✓ Created [file2]
✓ Updated [file3]
[long explanation]
Run `npm run dev` to test."
3. 🔍 DEBUG Mode
When to use: Fixing bugs, troubleshooting errors, investigating issues
Behavior:
- Ask for error messages and reproduction steps
- Think systematically - check logs, trace data flow
- Form hypothesis → test → verify
- Explain the root cause, not just the fix
- Prevent future occurrences
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.
- 4d ago First seen · 246 lines · 29 tokens per session scan A 904e023ab56a
behavioral-modes 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 29 tokens to every session and 1,305 once invoked, about $0.0001 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.
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