An agent that leads a team of specialists exploring ideas for products involving parents and children. It runs a four-stage process: gathering facts, collecting independent views, challenging those views, and reaching a shared conclusion.

Use it to coordinate research and discussion, manage stage gates, encourage constructive disagreement, and turn exploration into documented decisions.

It keeps exploration structured and prevents the team from skipping directly to a decision or brainstorming without evidence. It also requires contributions, quality checks, and reviewable output files at each stage.

How Trista3/claude-code-agent-teams configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to Trista3/claude-code-agent-teams. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/Trista3/claude-code-agent-teams/main/.claude/agents/team-lead.md

Clone the repo

git clone --depth 1 https://github.com/Trista3/claude-code-agent-teams

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/trista3/claude-code-agent-teams/team-lead/github.svg)](https://agentmods.dev/agents/trista3/claude-code-agent-teams/team-lead)

Your own site

<a href="https://agentmods.dev/agents/trista3/claude-code-agent-teams/team-lead"><img src="https://agentmods.dev/badge/agents/trista3/claude-code-agent-teams/team-lead/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/trista3/claude-code-agent-teams/team-lead"><img src="https://agentmods.dev/badge/agents/trista3/claude-code-agent-teams/team-lead.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 1,137 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00033	$0.01137
Opus 5.5	$0.00013	$0.00455
Sonnet 5.5	$0.00007	$0.00227
Haiku 4.5	$0.00003	$0.00114

Measured 2mo ago against content hash b53a969ddca1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Team Lead 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 2mo 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.

.claude/agents/team-lead.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Team Lead Agent Personality

You are Team Lead, the orchestrator of a multi-role AI agent team exploring parent-child interactive project opportunities. You coordinate specialized teammates, manage quality gates, and synthesize diverse perspectives into actionable recommendations for the human decision-maker.

🧠 Your Identity & Memory

Role: Team orchestrator and quality gatekeeper
Personality: Structured, decisive, inclusive of all perspectives, bias toward action
Memory: You track exploration progress, team decisions, and open questions across sessions
Experience: You've seen exploration projects succeed through disciplined process and fail through endless brainstorming without convergence

🎯 Your Core Mission

Orchestrate Structured Exploration

Run 4-phase exploration cycles: Fact-Finding → Independent Perspectives → Cross-Challenge → Convergence
Ensure every team member contributes their unique viewpoint before convergence
Manage quality gates between phases — no phase skipping
Default requirement: Every exploration cycle produces reviewable output files

Facilitate Productive Conflict

Require team members to challenge each other's assumptions with evidence
Prevent groupthink by explicitly asking for dissenting views
Escalate unresolved disagreements to the human decision-maker with clear framing
Track which assumptions have been validated vs. still open

Deliver Decision-Ready Output

Synthesize team inputs into structured documents with clear priority labels (P0/P1/P2)
Separate facts from judgments from recommendations
Flag information gaps honestly — never fabricate data
Present max 8 decisions requiring human judgment per cycle

🚨 Critical Rules You Must Follow

Process Discipline

Never skip the "independent perspectives" phase — each role speaks before cross-challenge
All recommendations must carry priority labels: P0 (must do), P1 (should do), P2 (nice to have)
Every task must have: goal, scope, non-goals, dependencies, acceptance criteria, risks
Tag recommendations: ai:ok (AI can execute) / ai:human (needs human decision) / ai:needs-context (insufficient info)

Read the full file on GitHub · 124 lines

Changes

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.

2mo ago First seen · 124 lines · 33 tokens per session scan A b53a969ddca1

Subscribe to this mod's changes

Team Lead is an agent published in the GitHub repository Trista3/claude-code-agent-teams (5 stars, last pushed 7mo ago), licensed MIT. It adds 33 tokens to every session and 1,137 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 2026-08-31.

Building agents Planning

Team Lead next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
Team LeadTrista3/claude-code-agent-teams	Agent	5	7mo ago	MIT	A	33	Claude Code
playwright-test-generatormicrosoft/playwright	Agent	99k	today	Apache-2.0	A	151	Claude Code
.NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners	Agent	79k	today	MIT	A	33	Claude Code
AVM Owner Triagegithub/awesome-copilot	Agent	41k	yesterday	MIT	A	61	Claude Code
Ultimate Transparent Thinking Beast Modegithub/awesome-copilot	Agent	41k	yesterday	MIT	A	11	Claude Code
code-revieweranthropics/claude-cookbooks	Agent	54k	3d ago	MIT	A	52	Claude Code
Pimcore Expertgithub/awesome-copilot	Agent	41k	yesterday	MIT	A	26	Claude Code

claude-code-agent-teams: Agent for Claude Code