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 team-attention/plugins-for-claude-natives --skill team-assemblegit clone --depth 1 https://github.com/team-attention/plugins-for-claude-nativesWrote 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/team-attention/plugins-for-claude-natives/team-assemble)<a href="https://agentmods.dev/skills/team-attention/plugins-for-claude-natives/team-assemble"><img src="https://agentmods.dev/badge/skills/team-attention/plugins-for-claude-natives/team-assemble/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/team-attention/plugins-for-claude-natives/team-assemble"><img src="https://agentmods.dev/badge/skills/team-attention/plugins-for-claude-natives/team-assemble.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 | $0.00034 | $0.01989 |
| Opus 5 | $0.00017 | $0.00994 |
| Sonnet 5 | $0.00007 | $0.00398 |
| Haiku 4.5 | $0.00003 | $0.00199 |
Grade A, and why
team-assemble 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 11d 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 — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Team Assemble
Analyze a task, dynamically design the right expert agents, and orchestrate them as a team using Claude Code's agent teams feature.
Prerequisites
Agent teams must be enabled. See references/enable-agent-teams.md for setup instructions.
When to Use
- Complex tasks that decompose into 2+ independent subtasks
- Work where role separation is clear (e.g., research + implementation + validation)
- Tasks that benefit from parallel execution
Do NOT use for: single-file edits, simple questions, purely sequential work
Core Principles
- Model 3-tier — choose by role purpose (details:
references/agents.md)opus— strategy/judgment (scouts, complex execution)sonnet— standard execution/validation (worker, qa, support)haiku— exploration/writing (researcher, editor)
- No fixed catalog — agents are designed dynamically per task
- Example bank —
references/agents.mdprovides reference examples (not mandatory)
Workflow
Phase 1 → Phase 2 → Phase 3 → Phase 4 → Phase 5 → Phase 6
Task Codebase Integrate Execute Validate Complete
Analysis Scouts & Confirm & Cleanup
↕ FAIL → support fix (max 3x)
Phase 1: Task Analysis
Analyze the user's request and identify relevant areas of the codebase:
- Examine project structure, CLAUDE.md files, and README files
- Identify which parts of the codebase are relevant to the task
- Determine if codebase scouting (Phase 2) would help, or if the task is straightforward enough to skip to Phase 3
Get user approval via AskUserQuestion:
I've analyzed your task and identified the following areas of interest:
- [x] src/auth/ — Authentication module (needs refactoring)
- [x] tests/auth/ — Corresponding tests
- [ ] src/api/ — Not directly affected
I'll scout these areas to design an optimal team.
Options: "Looks good, proceed" / "I'd like to adjust the scope"
What ships with it
4 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.
- 11d ago First seen · 278 lines · 34 tokens per session scan A 4ecc0454ccc8
team-assemble is a skill published in the GitHub repository team-attention/plugins-for-claude-natives (824 stars, last pushed 4mo ago), licensed MIT. It adds 34 tokens to every session and 1,989 once invoked, about $0.0002 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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