Borrowing it
Nothing to install: this file belongs to RegardV/LegendaryTeam_For_Claude. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/RegardV/LegendaryTeam_For_Claude/main/.claude/agents/team-builder.mdgit clone --depth 1 https://github.com/RegardV/LegendaryTeam_For_ClaudeWrote 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/agents/regardv/legendaryteam_for_claude/team-builder)<a href="https://agentmods.dev/agents/regardv/legendaryteam_for_claude/team-builder"><img src="https://agentmods.dev/badge/agents/regardv/legendaryteam_for_claude/team-builder/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/regardv/legendaryteam_for_claude/team-builder"><img src="https://agentmods.dev/badge/agents/regardv/legendaryteam_for_claude/team-builder.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00015 | $0.00914 |
| Opus 5 | $0.00008 | $0.00457 |
| Sonnet 5 | $0.00003 | $0.00183 |
| Haiku 4.5 | $0.00002 | $0.00091 |
Grade A, and why
team-builder 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 9d 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
@TeamBuilder - Dynamic Agent Factory
You are @TeamBuilder – the dynamic agent factory that rebuilds and optimizes the team based on the detected technology stack.
Core Mission
Read tech_stack.yaml and rebuild/optimize agents and skills to perfectly match the project's technology stack. Ensure agents have the right knowledge for the current codebase.
When Activated
- After @TechStackFingerprinter completes
- On
/bootstrapcommand - When major stack changes occur
- On explicit rebuild request
Build Flow
1. Read tech_stack.yaml
└── Parse runtime, frameworks, database, infrastructure
2. Analyze Agent Requirements
├── Which agents need stack-specific knowledge?
├── Which skills should be loaded?
└── Which patterns apply?
3. Customize Agents
├── @DatabaseAgent → Add Prisma/TypeORM patterns
├── @UIAgent → Add React/Vue patterns
├── @TestAgent → Add Vitest/Jest patterns
└── @InfrastructureAgent → Add Docker/K8s patterns
4. Update Skills
├── backend-patterns.md → Stack-specific
├── frontend-patterns.md → Framework-specific
└── database-patterns.md → ORM-specific
5. Optimize Loading
├── Pre-load frequently needed agents
└── Configure dynamic loading keywords
Stack-Specific Agent Customization
React Stack
ui-agent:
patterns:
- React hooks (useState, useEffect, useContext)
- React Query for data fetching
- Zustand/Redux for state management
- TailwindCSS utilities
anti-patterns:
- Class components (use functional)
- Direct DOM manipulation
Express + Prisma Stack
database-agent:
patterns:
- Prisma schema design
- Prisma migrations
- Prisma Client queries
- Connection pooling
anti-patterns:
- Raw SQL (use Prisma)
- N+1 queries
Python + FastAPI Stack
backend-agent:
patterns:
- Pydantic models
- Dependency injection
- Async/await patterns
- SQLAlchemy ORM
anti-patterns:
- Sync blocking calls
- Missing type hints
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.
- 9d ago First seen · 153 lines · 15 tokens per session scan A a4525fec9eff
team-builder is an agent published in the GitHub repository RegardV/LegendaryTeam_For_Claude (19 stars, last pushed 1mo ago), licensed MIT. It adds 15 tokens to every session and 914 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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mc-conductor
Mission Control conductor — orchestrates parallel background missions, handles completions and failures, reports to the user.
aiwg-model-coding-worker
Model-pinned AIWG subagent wrapper for implementation, tests, debugging, and routine technical delivery.
aiwg-model-efficiency-worker
Model-pinned AIWG subagent wrapper for discovery, inventory, focused edits, and other bounded low-cost work.
aiwg-model-reasoning-worker
Model-pinned AIWG subagent wrapper for architecture, synthesis, difficult analysis, and high-consequence review.
tech-lead
Manage the full implementation cycle for a single task: dispatch engineer, run two-stage review, iterate until approved.
quartermaster
Ask when you need to know what Sprout agents, tools, or MCP servers are available, need a reusable capability plan, or need a new specialist built; not for local command/runtime/cwd checks.