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 5.5 | $0.00006 | $0.00366 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 3mo ago), licensed MIT. It adds 15 tokens to every session and 914 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other agents, from other repositories
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.
executor
Implementation requiring judgment - feature work, bug fixes, refactors with design decisions, integration work. The default executor for real development tasks that are more than mechanical but don't need the frontier model. Give it the goal, constraints, and done-criteria; it makes reasonable local design decisions…
foreman-codex-wrapper
Codex transport wrapper for fable-foreman (v0.3). Runs the skill's fixed-argv launcher (scripts/codex-dispatch.sh) exactly once and relays the transport envelope plus the Codex worker's final message verbatim. Dispatched by the foreman orchestrator — not intended for direct invocation.
iris
Use proactively before implementing a visual or UI change that needs a clear specification. Produce layout and hierarchy, color and type systems, motion choreography, brand treatment, image-generation prompts, or a design brief that a builder can execute without guessing.
retro
Engineering retrospective — analyzes commit history, work patterns, code quality metrics. Per-person breakdowns, shipping streaks, actionable improvements. READ-ONLY, never modifies code.