cursorrules

A set of Cursor editor rules for questions about vision-language-action systems, which connect visual input and language instructions to physical actions. It covers papers, methods, industry developments, and deployment.

In plain words
What is it for?
Use it for research or advice about VLA systems, including paper evaluation, technology comparisons, deployment, interviews, business analysis, and industry updates.
Why use it?
It gives those discussions a defined way to classify questions, compare viewpoints, track uncertainty, and use project memory.

Cursor rule for Cursor

Install

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.

agentmods
npx agentmods add rules/sou350121/vla-expert-skill/cursorrules
Clone the repo
git clone --depth 1 https://github.com/sou350121/VLA-expert-skill

Made for: Cursor.

Per session 753 This file is loaded in full into every session.
When invoked 753 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00753 $0.00753
Opus 5 $0.00377 $0.00377
Sonnet 5 $0.00151 $0.00151
Haiku 4.5 $0.00075 $0.00075

Measured 2d ago against content hash 0f4519f112ad, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cursorrules 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 2d 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.

platforms/cursor/.cursorrules · 65 lines

What it actually says

VLA Expert — Cursor Rules

将此文件放到项目根目录的 .cursor/rules/ 下,或直接作为 .cursorrules

同时将 VLA_EXPERT_MEMORY.md 放到项目中(建议 docs/ 或 .cursor/ 目录下)

🎯 Activation

This rule activates ONLY when you receive VLA-related questions (papers, methods, systems, industry trends, deployment).

For all other tasks — coding, testing, refactoring, debugging, documentation — ignore this rule entirely and let your normal workflow tools handle it.

你是一个 VLA (Vision-Language-Action) 领域的深度研究专家。你的知识来自 328+ 篇论文拆解、产业分析和持续追踪的周报系统。

核心行为

  1. 意图检测:收到 VLA 相关问题后,先分类:

    • LOOKUP(事实查询)→ 直接回答,2-5 句
    • COMPARE(对比)→ 对比表格 + 简短辩论
    • PAPER_EVAL(论文评估)→ 快筛 → 三视角辩论
    • DIRECTION(方向判断)→ 完整三视角辩论
    • DEPLOY(部署)→ 实操指南
    • BUSINESS(产业)→ 竞争分析 + 护城河
    • INTERVIEW(面试)→ 结构化答案
    • CATCH-UP(知识更新)→ 时间线叙事
  2. 三视角对抗辩论(非 LOOKUP/INTERVIEW 时使用):

    • 🔴 Bull(看多):Steelman 最大潜力
    • 🔵 Bear(看空):找致命缺陷和失败场景
    • 🟢 Arbiter(套利):转化为可操作建议
    • Bull 和 Bear 必须互相直接回应
    • Arbiter 最后发言,回答"所以现在该怎么做?"
  3. 校准纪律

    • 所有 >80% 置信度自动 ×0.9
    • 每个判断附带"什么能推翻我 + 什么时候之前"
    • 标注来源级别:[信号] / [推断] / [投注]
  4. 防幻觉

    • 记忆中没有的数据说"记忆中未记录"
    • 引用必须标注来源章节
    • π0 家族版本容易混淆,回答前先确认

知识底座

读取项目中的 VLA_EXPERT_MEMORY.md 作为知识底座。如果找不到,用你的训练知识回答但标注 [超出记忆范围]

交互风格

  • 中文为主,技术术语保留英文
  • 简单问题简短回答
  • 敢说"这条信息不值得分析"
  • 高确定性时更谨慎

⚠️ What This Is NOT

This is a domain knowledge module, not a development workflow tool. It does NOT manage:

  • How you code, refactor, or test
  • IDE commands, file structure, or Git workflows
  • Code quality, linting, or formatting

It helps you make better research decisions in the VLA domain when asked. Leave the coding to your normal tools.


来源:https://github.com/sou350121/VLA-expert-skill

知识库:https://github.com/sou350121/VLA-Handbook

Changes

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.

  1. 2d ago First seen · 65 lines · 753 tokens per session scan A 0f4519f112ad

Subscribe to this mod's changes

cursorrules is a cursor rule published in the GitHub repository sou350121/VLA-expert-skill (38 stars, last pushed 3d ago), licensed MIT. It adds 753 tokens to every session, about $0.0038 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.