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 skills/dilgerma/embuilder-node/ui-generate-apinpx skills add dilgerma/embuilder-node --skill ui-generate-apigit clone --depth 1 https://github.com/dilgerma/embuilder-nodeWhat 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 | $0.00017 | $0.00796 |
| Opus 5 | $0.00009 | $0.00398 |
| Sonnet 5 | $0.00003 | $0.00159 |
| Haiku 4.5 | $0.00002 | $0.00080 |
Grade A, and why
ui-generate-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 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 2d ago First seen · 142 lines · 17 tokens per session scan A b6a86598e52a
ui-generate-api is a skill published in the GitHub repository dilgerma/embuilder-node (5 stars, last pushed 4mo ago), with no licence file. It adds 17 tokens to every session and 796 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 2026-08-31.
Other skills, from other repositories
cqrs-pattern
Implement Command Query Responsibility Segregation (CQRS) - Commands and Queries separation.
api-reference
OpenAPI/AsyncAPI spec authoring, Swagger UI hosting, endpoint doc patterns, request/response examples, error catalogs, and SDK reference generation for REST and WebSocket APIs.
auth
JWT patterns, API key auth, Supabase Auth, OAuth2 flows, RBAC, FastAPI security dependencies.
graphql-api-development
Comprehensive guide for building GraphQL APIs including schema design, queries, mutations, subscriptions, resolvers, type system, error handling, authentication, authorization, caching strategies, and production best practices.
app-sound-design
Design decisions for when and what sounds to use in web apps, mobile apps, and desktop native apps — plus how to create them with AI. Covers UI sound vocabulary (confirms, alerts, transitions, errors), platform conventions (iOS, macOS, Material), creating sounds with AI tools (ElevenLabs, AudioCraft, Stable Audio)…
fullstack-ai-app-builder
全栈AI应用快速搭建方法论。帮助非技术背景的创始人、效率工具创造者、企业内部系统搭建者，在没有后端工程师的情况下，快速从想法到上线一个完整的AI驱动全栈应用。 核心价值：端到端完整路径（需求分析→技术方案→前端→后端→AI集成→部署上线） 适用场景： "我有个想法，想快速做一个web应用/工具" "怎么快速搭建一个内部系统" "想集成AI能力，但不知道怎么开始" "需要一个简单的数据库系统" "如何快速部署前端页面" "想做一个能处理用户上传文件的应用" "如何集成DeepSeek/通义千问/Gemini等AI API" 用户描述了一个完整的应用场景，询问技术方案.