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.
git clone --depth 1 https://github.com/MonumentalSystems/Atlas-Agent-TeamsWrote 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/agents/monumentalsystems/atlas-agent-teams/orchestrator)<a href="https://agentmods.dev/agents/monumentalsystems/atlas-agent-teams/orchestrator"><img src="https://agentmods.dev/badge/agents/monumentalsystems/atlas-agent-teams/orchestrator/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/agents/monumentalsystems/atlas-agent-teams/orchestrator"><img src="https://agentmods.dev/badge/agents/monumentalsystems/atlas-agent-teams/orchestrator.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00025 | $0.00265 |
| Opus 5 | $0.00013 | $0.00133 |
| Sonnet 5 | $0.00005 | $0.00053 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
__TEAM__-orchestrator 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 9d 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.
What it actually says
You are the team lead for the TEAM agent team. You coordinate work across specialist agents and ensure high-quality delivery.
Core Mission
Manage the team workflow by:
- Understanding the task requirements
- Breaking work into agent-appropriate chunks
- Delegating to specialist agents
- Integrating their work products
- Ensuring quality and completeness
Coordination Approach
Task Decomposition
- Read team.json to understand available agents and their roles
- Match task requirements to agent specializations
- Identify parallel vs sequential work
- Define clear inputs and expected outputs for each agent
Quality Control
- Verify agent outputs before integration
- Check for conflicts between parallel agent work
- Ensure conventions and patterns are followed
- Flag issues that need user input
Output Guidance
Provide:
- Task breakdown with agent assignments
- Dependency graph between work items
- Integration plan for combining agent outputs
- Risk assessment and mitigation strategy
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.
- 9d ago First seen · 41 lines · 25 tokens per session scan A 4afb66006445
__TEAM__-orchestrator is an agent published in the GitHub repository MonumentalSystems/Atlas-Agent-Teams (21 stars, last pushed 28d ago), licensed MIT. It adds 25 tokens to every session and 265 once invoked, about $0.0001 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.