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 zircote-plugins/claude-team-orchestration --skill agent-typesgit clone --depth 1 https://github.com/zircote-plugins/claude-team-orchestrationWrote 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/zircote-plugins/claude-team-orchestration/agent-types)<a href="https://agentmods.dev/skills/zircote-plugins/claude-team-orchestration/agent-types"><img src="https://agentmods.dev/badge/skills/zircote-plugins/claude-team-orchestration/agent-types.svg" alt="Measured on agentmods" 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 | $0.00056 | $0.03325 |
| Opus 5 | $0.00028 | $0.01663 |
| Sonnet 5 | $0.00011 | $0.00665 |
| Haiku 4.5 | $0.00006 | $0.00332 |
Grade A, and why
agent-types 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 7d 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 — 363 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Types
Experimental: Agent teams are disabled by default. Enable with
CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMSin your settings.json or environment.
Choose the right agent type for each role in your team. Agent types determine what tools are available and what the agent is optimized for.
Related skills:
- Orchestrating - Primitives overview and quick reference
- Team Management - Spawning agents into teams
- Orchestration Patterns - Patterns that combine different agent types
Agent Type Selection Guide
| Need | Agent Type | Why |
|---|---|---|
| Search/read code | Explore | Read-only, fast, cheap (haiku) |
| Architecture design | Plan | Read-only, thoughtful analysis |
| Run commands/git | Bash | Shell access only |
| Multi-step implementation | general-purpose | Full tool access |
| Claude Code questions | claude-code-guide | Docs and web access |
| Security review | sdlc:security-reviewer | Vulnerability assessment, secure coding |
| Code quality review | sdlc:quality-enforcer | Formatting, linting, code style |
| Code simplification | code-simplifier:code-simplifier | Clarity, consistency, minimalism |
| Architecture analysis | refactor:architect | Design review, optimization planning |
| Best practices research | adr:adr-researcher | Codebase analysis + web research |
| Deep code exploration | feature-dev:code-explorer | Trace execution paths, map architecture |
| Code review | feature-dev:code-reviewer | Bugs, logic errors, conventions |
| Source code chunk analysis | swarm:rlm-code-analyzer | Code-aware, scope context, analysis focus |
| Data/CSV chunk analysis | swarm:rlm-data-analyzer | Column-aware, distributions, statistics |
| JSON chunk analysis | swarm:rlm-json-analyzer | Schema-aware, structural patterns |
| General chunk-level analysis | swarm:rlm-chunk-analyzer | Haiku, fast, structured JSON output |
| Synthesize chunk findings | swarm:rlm-synthesizer | Sonnet, aggregation and deduplication |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago First seen · 363 lines · 56 tokens per session scan A 97b634c10cda
agent-types is a skill published in the GitHub repository zircote-plugins/claude-team-orchestration (14 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 3,325 once invoked, about $0.0003 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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