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 Mark393295827/third-brain-v7-skills --skill agent-teams-commandgit clone --depth 1 https://github.com/Mark393295827/third-brain-v7-skillsWrote 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/mark393295827/third-brain-v7-skills/agent-teams-command)<a href="https://agentmods.dev/skills/mark393295827/third-brain-v7-skills/agent-teams-command"><img src="https://agentmods.dev/badge/skills/mark393295827/third-brain-v7-skills/agent-teams-command/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/mark393295827/third-brain-v7-skills/agent-teams-command"><img src="https://agentmods.dev/badge/skills/mark393295827/third-brain-v7-skills/agent-teams-command.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 | $0.00039 | $0.01433 |
| Opus 5 | $0.00019 | $0.00717 |
| Sonnet 5 | $0.00008 | $0.00287 |
| Haiku 4.5 | $0.00004 | $0.00143 |
Grade A, and why
agent-teams-command 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 10d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Teams Command — 安德智能体集群指挥系统 (V8.1)
<skill_contract> A mission with independently ownable workstreams, time SLA requirements, pre-flight task list, token budget, interfaces, permissions, and an integration owner. An isolated worker fleet (5 to 100+ agents), typed IPC ledger, pre-allocated token ledger, serial integration, cleanup, and evidence receipts. Pre-flight task list is 100% reconciled, integrated artifacts pass mission checks, token consumption is within TCLR boundaries, and cleanup gates pass. <non_goals>Parallelism without a task list, unbounded token burn, overlapping writers, or worker self-certification.</non_goals>
Strategic intent and final integration remain serial; owned execution runs in dynamically scaled parallel squadrons (5, 10, 50, 100+ agents). Use the Ender lens for commander intent and squad autonomy, Palantir for operational objects/actions, and von Neumann for executable process architecture. Detailed patterns: references/ender-palantir-command-patterns.md; examples: references/classic-campaigns.md.
Usage Template
Provide: mission, time SLA, task list candidate, workstreams, scaling tier (5/10/50/100+), dependencies, acceptance criteria, token budget (ETC limit), permissions, runtime capabilities, and integration owner.
Workflow
- Mission Intake & Scale Triage: Analyze mission complexity and select the smallest supported tier: Tier 1 (Squad: 5 agents), Tier 2 (Squadron: 10 agents), Tier 3 (Battle Group: 50 agents), or Tier 4 (Fleet: 100+ agents). If the runtime exposes fewer slots, cap the active fleet to that observed limit.
- Pre-flight Task List & Token Gate: Generate structured task list with explicit owner, territory, expected output, verification command, and token budget (ETC).
- Territory Mapping: Partition work into non-overlapping directories or git worktrees. Every worker gets strictly exclusive write boundaries.
<unknowns_gate>
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.
- 10d ago First seen · 109 lines · 39 tokens per session scan A 212f6d497720
agent-teams-command is a skill published in the GitHub repository Mark393295827/third-brain-v7-skills (138 stars, last pushed 20d ago), licensed MIT. It adds 39 tokens to every session and 1,433 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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