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/madebyaris/advance-minimax-m3-cursor-rulesWrote 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/madebyaris/advance-minimax-m3-cursor-rules/model-compatibility)<a href="https://agentmods.dev/rules/madebyaris/advance-minimax-m3-cursor-rules/model-compatibility"><img src="https://agentmods.dev/badge/rules/madebyaris/advance-minimax-m3-cursor-rules/model-compatibility/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/madebyaris/advance-minimax-m3-cursor-rules/model-compatibility"><img src="https://agentmods.dev/badge/rules/madebyaris/advance-minimax-m3-cursor-rules/model-compatibility.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 | $0.00027 | $0.00955 |
| Opus 5 | $0.00014 | $0.00477 |
| Sonnet 5 | $0.00005 | $0.00191 |
| Haiku 4.5 | $0.00003 | $0.00096 |
Grade A, and why
model-compatibility 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 9d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Transferable Agent Behavior (M3-first, model-resilient)
This repo is tuned for MiniMax M3 first. M3 is a generational shift: 1M-token MSA context, native multimodal input (text, image, video), and higher agentic and coding benchmarks.
The purpose of this file is to define the transferable execution behavior the agent should copy across models: tool-first work, read-before-edit discipline, short prompts, and context-aware problem solving that also maps well to strong GPT/Codex/Composer-style coding agents.
Prompt Hierarchy
Treat the current environment as the source of truth:
- system instructions and exposed tools win
- always-on rules should stay short, durable, and canonical
- requestable rules should carry runtime-specific guidance
- user instructions still define the task
Do not assume an older rule or prompt shape is still valid just because it appears in this repo. Prefer a single always-on execution spine over duplicated policy spread across multiple files.
Model Selection
| Need | Default | Why |
|---|---|---|
| Long context (multi-file refactor, transcript analysis, large retrieval pack, full-repo synthesis) | MiniMax-M3 |
1M-token MSA context |
| Visual-fidelity work, design parity, error UI triage, screenshot-driven dev | MiniMax-M3 |
Native multimodal input (text, image, video) |
| Deep agentic / coding (SWE-Bench-class tasks, long-horizon planning) | MiniMax-M3 |
Higher agentic and coding benchmarks |
| Anything where the user asks for "frontier" by name | MiniMax-M3 |
Positioned as the new frontier default |
When the active model is not M3 (for example composer-2.5, GPT, or Claude), the always-on core continues to apply — tool discipline, read-before-edit, scope control, solver loop, status taxonomy. The M3-specific sections (long-context discipline, multimodal input discipline) become inert, and the agent must not promise multimodal or 1M-context behavior. Confirm the model's actual capabilities from the current runtime before relying on them.
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.
- 9d ago First seen · 79 lines · 27 tokens per session scan A 4de12d7d31e0
model-compatibility is a cursor rule published in the GitHub repository madebyaris/advance-minimax-m3-cursor-rules (125 stars, last pushed 2mo ago), licensed MIT. It adds 27 tokens to every session and 955 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 2026-08-30.
Other cursor rules, from other repositories
git-commit
Use this when the user asks for a git commit, commit message, or commit command.
learnship
Activate learnship agentic engineering workflows — structured phases, persistent memory, learning partner, and impeccable UI design. Use whenever a user is working on a software project or asks about project planning, phases, workflows, or how to build something.
behavior-principles
Global behavioral principles for all AI-assisted work in this repository. Covers thinking before coding, simplicity, surgical changes, goal-driven execution, and communication standards.
coding
Core coding behavior for this repository. Always prefer cautious, minimal, reversible changes.
testing
Optional Spring Boot example-pack testing rules. Apply only when editing an adopted project or spring-boot profile output.
workflow
Workflow canonical adapter and intent routing rules.