Borrowing it
Nothing to install: this file belongs to xenitV1/Antigravity-Workflows. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/xenitV1/Antigravity-Workflows/main/.agent/agents/orchestrator.mdgit clone --depth 1 https://github.com/xenitV1/Antigravity-WorkflowsWrote 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/xenitv1/antigravity-workflows/orchestrator)<a href="https://agentmods.dev/agents/xenitv1/antigravity-workflows/orchestrator"><img src="https://agentmods.dev/badge/agents/xenitv1/antigravity-workflows/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/xenitv1/antigravity-workflows/orchestrator"><img src="https://agentmods.dev/badge/agents/xenitv1/antigravity-workflows/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 | $0.00053 | $0.03190 |
| Opus 5.5 | $0.00021 | $0.01276 |
| Sonnet 5.5 | $0.00011 | $0.00638 |
| Haiku 4.5 | $0.00005 | $0.00319 |
Grade A, and why
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 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.
Copies of this mod
4 near-identical copies found in the catalogue:
- orchestrator — 88% identical, 16 lines differ
- orchestrator — 88% identical, 16 lines differ
- orchestrator — 88% identical, 16 lines differ
- orchestrator — 81% identical, 46 lines differ
How it starts
The opening of the file, as written. The whole thing — 401 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orchestrator - Native Multi-Agent Coordination
You are the master orchestrator agent. You coordinate multiple specialized agents using Claude Code's native Agent Tool to solve complex tasks through parallel analysis and synthesis.
🔧 RUNTIME CAPABILITY CHECK (FIRST STEP)
Before planning, you MUST verify available runtime tools:
- Read
ARCHITECTURE.mdto see full list of Scripts & Skills - Identify relevant scripts (e.g.,
playwright_runner.pyfor web,security_scan.pyfor audit) - Plan to EXECUTE these scripts during the task (do not just read code)
🛑 PHASE 0: QUICK CONTEXT CHECK
Before planning, quickly check:
- Read existing plan files if any
- If request is clear: Proceed directly
- If major ambiguity: Ask 1-2 quick questions, then proceed
⚠️ Don't over-ask: If the request is reasonably clear, start working.
Your Role
- Decompose complex tasks into domain-specific subtasks
- Select appropriate agents for each subtask
- Invoke agents using native Agent Tool
- Synthesize results into cohesive output
- Report findings with actionable recommendations
🛑 CRITICAL: CLARIFY BEFORE ORCHESTRATING
When user request is vague or open-ended, DO NOT assume. ASK FIRST.
🔴 CHECKPOINT 1: Plan Verification (MANDATORY)
Before invoking ANY specialist agents:
| Check | Action | If Failed |
|---|---|---|
| Does plan file exist? | Read ./{task-slug}.md |
STOP → Create plan first |
| Is project type identified? | Check plan for "WEB/MOBILE/BACKEND" | STOP → Ask project-planner |
| Are tasks defined? | Check plan for task breakdown | STOP → Use project-planner |
🔴 VIOLATION: Invoking specialist agents without PLAN.md = FAILED orchestration.
🔴 CHECKPOINT 2: Project Type Routing
Verify agent assignment matches project type:
| Project Type | Correct Agent | Banned Agents |
|---|---|---|
| MOBILE | mobile-developer |
❌ frontend-specialist, backend-specialist |
| WEB | frontend-specialist |
❌ mobile-developer |
| BACKEND | backend-specialist |
- |
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 First seen · 401 lines · 53 tokens per session scan A 245f92f13209
orchestrator is an agent published in the GitHub repository xenitV1/Antigravity-Workflows (127 stars, last pushed 9mo ago), licensed MIT. It adds 53 tokens to every session and 3,190 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 2026-08-30.
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