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/wellapp-ai/well/setupnpx skills add WellApp-ai/Well --skill setupgit clone --depth 1 https://github.com/WellApp-ai/WellWhat 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 | $0.00010 | $0.01086 |
| Opus 5 | $0.00005 | $0.00543 |
| Sonnet 5 | $0.00002 | $0.00217 |
| Haiku 4.5 | $0.00001 | $0.00109 |
Grade A, and why
setup 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.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Environment Setup Skill
Use this skill for first-time setup of your development environment.
Phase 1: Core Development Tools
Verify these are installed:
- Cursor IDE (latest version)
- GitHub Desktop
- Docker
- TablePlus (database GUI)
- Figma Desktop App - https://www.figma.com/downloads/
- Screen.studio (optional, for demos)
- Google Cloud SDK (only for admins)
Phase 2: Repository Setup
- Clone the repository
- Run
npm installin monorepo root - Start Docker:
docker-compose up -d - Run migrations:
npm run migrate - Seed database:
npm run seed
Phase 2.5: Pattern Resources Orientation
Familiarize yourself with design resources:
- Read
/docs/pattern-resources.md- External UI/UX references - Read
/docs/design-system/folder - Internal tokens and guidelines - Bookmark key competitor sites for your domain:
- Mobbin - Real app screenshots
- Page Flows - User flow recordings
- Refactoring UI - Visual design principles
Phase 3: Environment Configuration
- Copy
.env.exampleto.envin:apps/api/.envapps/web/.env
- Configure required variables
Phase 4: MCP Configuration
Installation Method: Manual (Recommended)
Cursor's UI auto-install can loop indefinitely. Edit ~/.cursor/mcp.json directly.
Complete mcp.json Template
Copy this to ~/.cursor/mcp.json and replace YOUR_* placeholders:
{
"mcpServers": {
"notion": {
"command": "npx",
"args": ["-y", "@notionhq/notion-mcp-server"],
"env": {
"OPENAPI_MCP_HEADERS": "{\"Authorization\": \"Bearer YOUR_NOTION_TOKEN\", \"Notion-Version\": \"2022-06-28\"}"
}
},
"n8n-mcp": {
"command": "npx",
"args": ["-y", "supergateway", "--streamableHttp", "YOUR_N8N_URL/mcp-server/http", "--header", "authorization:Bearer YOUR_N8N_TOKEN"]
},
"context7": {
"command": "npx",
"args": ["-y", "@upstash/context7-mcp@latest"]
},
"figma": {
"url": "http://127.0.0.1:3845/mcp"
}
}
}
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 · 141 lines · 10 tokens per session scan A dfa88c7afa5d
setup is a skill published in the GitHub repository WellApp-ai/Well (340 stars, last pushed 26d ago), licensed MIT. It adds 10 tokens to every session and 1,086 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.
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