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 rules/dcloudio/uni-ai-x/apigit clone --depth 1 https://github.com/dcloudio/uni-ai-xWhat 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 | $0.00300 | $0.00300 |
| Opus 5 | $0.00150 | $0.00150 |
| Sonnet 5 | $0.00060 | $0.00060 |
| Haiku 4.5 | $0.00030 | $0.00030 |
Grade A, and why
api 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 today.
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.
What it actually says
Global API (no uni. prefix required)
Get system information: getApp(), getSystemInfoSync() Lifecycle management: application-level events such as onLaunch and onShow
Platform native APIs
Android/iOS/Harmony/Web Mini Program can be directly called by the native interface of all platforms (import through import) Example: import Build from 'android.os.Build' to get the device model
Cross-platform encapsulation API
Network request: uni.request (Promise supported) File operation: uni.writeFile (overwrite/append mode needs to be explicitly declared) Location service: uni.getLocation (need to dynamically apply for location permission)
Cloud Service API
uniCloud database: uniCloud.database() File storage: uniCloud.uploadFile (supports multipart upload)
UI Component API
Custom component communication: $emit/$refs binding UI drawing: uni.createCanvasContext (WebGL supported)
Key usage specifications
- iOS does not support direct calls to Swift APIs in JS-driven mode, and must be encapsulated as uts plug-ins
- Dynamic permission application process: Registered permission listener: uni.addInterceptor('beforeEnter') Permission verification: uni.checkSetting({scope: 'scope.userLocation'}) Pop-up application: uni.authorize({scope: 'scope.camera'})
- The native API must be encapsulated as a uni_modules plugin
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.
- today First seen · 34 lines · 300 tokens per session scan A cf84bd4508bf
api is a cursor rule published in the GitHub repository dcloudio/uni-ai-x (85 stars, last pushed today), licensed Apache-2.0. It adds 300 tokens to every session, about $0.0015 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 2026-09-01.
Other cursor rules, from other repositories
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.
typescript
Changes to these high-fan-out internals can affect every message, delta, element, or rerun. Keep work in them minimal, and benchmark changes with representative stress-test apps.
coolify-ai-docs
Master reference to all Coolify AI documentation in .ai/ directory.
python_lib
Tips and guidelines specific to the development of the Streamlit Python library, not applicable to scripts and e2e tests.
specs
This directory contains product and tech specs for Streamlit features.