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 skills add travisjneuman/.claude --skill agent-teamsgit clone --depth 1 https://github.com/travisjneuman/.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/skills/travisjneuman/.claude/agent-teams)<a href="https://agentmods.dev/skills/travisjneuman/.claude/agent-teams"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/agent-teams/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/skills/travisjneuman/.claude/agent-teams"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/agent-teams.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00038 | $0.00667 |
| Opus 5.5 | $0.00015 | $0.00267 |
| Sonnet 5.5 | $0.00008 | $0.00133 |
| Haiku 4.5 | $0.00004 | $0.00067 |
Grade A, and why
agent-teams 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Teams Composition Skill
You have expertise in composing and orchestrating Claude Code Agent Teams. Use this knowledge when the user's task would benefit from parallel multi-session work.
Agent teams are off by default. Use them only when the user explicitly started the session with CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1; otherwise use ordinary subagents, and don't propose teams unprompted.
When Agent Teams Fit
With teams enabled, they fit when:
- The user asks for comprehensive code review (suggest 3-reviewer team)
- The task involves work across multiple layers (frontend + backend + database)
- The user describes a bug with unclear root cause (suggest competing hypothesis investigation)
- The user wants to evaluate multiple technologies or approaches (suggest research panel)
- The task can be clearly split into independent, file-separated workstreams
Do NOT suggest agent teams when:
- The task is sequential or involves same-file edits
- A single session or subagent would suffice
- The coordination overhead would exceed the benefit
- The user is on a tight token budget
Team Templates
Full Review (3 teammates)
Security reviewer + Performance reviewer + Correctness reviewer (edge cases, error paths, callers). Each reviews independently, then lead synthesizes findings.
Feature Dev (3 teammates)
Architect (plan approval required) + Implementer + Reviewer. Architect plans first, implementer follows, reviewer validates the diff by review.
Debug Squad (3-5 teammates)
Each teammate investigates a different hypothesis. Adversarial debate structure -- teammates challenge each other's theories.
Cross-Platform (3 teammates)
iOS developer + Android developer + Shared architect. Each platform teammate owns their own directory. Architect coordinates API contracts.
Full-Stack (3 teammates)
Frontend + Backend + Database. Clear file ownership per layer. Coordinate on API contracts first.
Research Panel (3 teammates)
Simplicity advocate + Performance advocate + Devil's advocate. Each evaluates from a different perspective, then synthesize.
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 Changed · +2 lines · +14 tokens per session 1eb2ac00d509
- 2mo ago First seen · 81 lines · 24 tokens per session scan A 8e38c53a7f71
agent-teams is a skill published in the GitHub repository travisjneuman/.claude (108 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 667 once invoked, about $0.0002 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 2026-09-03.
agent-teams compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agent-teamstravisjneuman/.claude | Skill | 108 | yesterday | MIT | A | 38 | Claude Code |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 316k | 7d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |