BuildingAI is a visual platform for creating AI applications such as enterprise agents, knowledge-based systems, and customer-service tools without writing everything from code. It is for AI developers, entrepreneurs, and organizations that need configurable applications with features such as agents, MCP, RAG, knowledge bases, and model access. The catalogue skills support workflows around this platform.
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/bidingcc/buildingai/project-architecturenpx skills add BidingCC/BuildingAI --skill project-architecturegit clone --depth 1 https://github.com/BidingCC/BuildingAIWrote 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/skills/bidingcc/buildingai/project-architecture)<a href="https://agentmods.dev/skills/bidingcc/buildingai/project-architecture"><img src="https://agentmods.dev/badge/skills/bidingcc/buildingai/project-architecture.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 | $0.00068 | $0.01635 |
| Opus 5 | $0.00034 | $0.00817 |
| Sonnet 5 | $0.00014 | $0.00327 |
| Haiku 4.5 | $0.00007 | $0.00163 |
Grade A, and why
project-architecture 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 6d 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BuildingAI Project Architecture
Comprehensive guide to BuildingAI monorepo structure, packages, and development patterns.
When to Use
Use this skill when you need to:
- Locate where specific functionality is implemented
- Understand package relationships and dependencies
- Find the correct import paths and patterns
- Navigate module organization and structure
- Understand development patterns and conventions
- Know what each package provides and how to use it
Instructions
Understanding the Monorepo Structure
The BuildingAI project is a pnpm workspace monorepo with the following structure:
buildingai/
├── packages/
│ ├── @buildingai/ # Shared packages
│ │ ├── ai-sdk/ # AI SDK (legacy)
│ │ ├── ai-sdk-new/ # AI SDK (Vercel AI SDK 6.x)
│ │ ├── base/ # BaseController, BaseService
│ │ ├── cache/ # CacheService, RedisService
│ │ ├── config/ # Configuration management
│ │ ├── constants/ # Shared constants
│ │ ├── db/ # TypeORM, entities, migrations
│ │ ├── decorators/ # Custom decorators
│ │ ├── di/ # Dependency injection utilities
│ │ ├── dict/ # Dictionary/configuration management
│ │ ├── dto/ # Shared DTOs
│ │ ├── errors/ # HttpErrorFactory
│ │ ├── eslint-config/ # ESLint configuration
│ │ ├── extension-sdk/ # Extension development SDK
│ │ ├── logger/ # Logging utilities
│ │ ├── pipe/ # Validation pipes
│ │ ├── types/ # TypeScript type definitions
│ │ ├── typescript-config/ # TypeScript configurations
│ │ ├── upgrade/ # Version upgrade scripts
│ │ ├── utils/ # Utility functions, HTTP client
│ │ ├── web/ # Frontend shared packages
│ │ │ ├── hooks/ # React hooks
│ │ │ ├── http/ # HTTP client
│ │ │ ├── services/ # Frontend services
│ │ │ ├── stores/ # State management (Pinia)
│ │ │ ├── types/ # TypeScript types
│ │ │ └── ui/ # UI components
│ │ ├── di/ # Dependency injection utilities
│ │ └── wechat-sdk/ # WeChat integration SDK
│ ├── api/ # Main NestJS API application
│ ├── core/ # Reusable business logic modules
│ ├── cli/ # CLI tooling
│ └── client/ # Desktop client (Tauri + React)
├── skills/ # AI skills for development guidance
├── extensions/ # Plugin extensions (runtime loaded)
├── public/ # Static web assets
└── scripts/ # Build and utility scripts
What ships with it
23 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/ai-sdk.md 1.4 KB
- references/api.md 2.4 KB
- references/base.md 1.9 KB
- references/cache.md 1.5 KB
- references/cli.md 505 B
- references/client.md 2.9 KB
- references/config.md 514 B
- references/constants.md 820 B
- references/core.md 1.2 KB
- references/db.md 2.3 KB
- references/decorators.md 972 B
- references/di.md 694 B
- references/dict.md 799 B
- references/dto.md 638 B
- references/errors.md 856 B
- references/extension-sdk.md 978 B
- references/logger.md 339 B
- references/pipe.md 389 B
- references/types.md 583 B
- references/upgrade.md 867 B
- references/utils.md 1.1 KB
- references/web.md 2.8 KB
- references/wechat-sdk.md 1.9 KB
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.
- 6d ago First seen · 170 lines · 68 tokens per session scan A ad65b80a2254
project-architecture is a skill published in the GitHub repository BidingCC/BuildingAI (1,879 stars, last pushed 16d ago), licensed Apache-2.0. It adds 68 tokens to every session and 1,635 once invoked, about $0.0003 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.
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