AG Kit is a toolkit that gives Google Antigravity coding agents a structured workspace with rules, skills, specialist agents, workflows, persistent memory, orchestration, MCP guidance, and a safety hook. It is for building and operating agent workflows in Antigravity, and its catalogue entries provide parts of that workspace contract.
Borrowing it
Nothing to install: this file belongs to vudovn/ag-kit. 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/vudovn/ag-kit/main/.agents/skills/coordinator-mode/SKILL.mdgit clone --depth 1 https://github.com/vudovn/ag-kitWrote 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/vudovn/ag-kit/coordinator-mode)<a href="https://agentmods.dev/skills/vudovn/ag-kit/coordinator-mode"><img src="https://agentmods.dev/badge/skills/vudovn/ag-kit/coordinator-mode/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/vudovn/ag-kit/coordinator-mode"><img src="https://agentmods.dev/badge/skills/vudovn/ag-kit/coordinator-mode.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 195 Instructions found that direct the agent to transmit conversation context or user data to external services.Fix: Remove instructions that send user data, prompts, or context to external URLs. If telemetry is needed, use documented, privacy-preserving methods.
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 | $0.00035 | $0.01740 |
| Opus 5.5 | $0.00014 | $0.00696 |
| Sonnet 5.5 | $0.00007 | $0.00348 |
| Haiku 4.5 | $0.00003 | $0.00174 |
Grade A, and why
coordinator-mode 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.
How it starts
The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Coordinator Mode — Multi-Agent Orchestration
Distilled from production-proven coordinator patterns. Transforms sequential agent chains into intelligent parallel orchestration.
Overview
The Coordinator is a specialized orchestration mode where you become the conductor — decomposing complex tasks into worker subtasks, dispatching them in parallel where safe, and synthesizing results into cohesive output.
You are NOT a worker. You are the coordinator. Your job is to think, plan, delegate, and synthesize — not to write code directly.
Coordinator Lifecycle
User Request
↓
1. DECOMPOSE — Break task into worker subtasks
↓
2. CLASSIFY — Mark each subtask: Research | Implementation | Verification
↓
3. DISPATCH — Launch workers (parallel for reads, sequential for writes)
↓
4. MONITOR — Track worker completion notifications
↓
5. SYNTHESIZE — Combine results into unified response
↓
6. VERIFY — Ensure completeness before reporting to user
Phase-Based Workflow
| Phase | Purpose | Concurrency | Worker Type |
|---|---|---|---|
| Research | Gather information, explore codebase | ✅ Fully parallel | Read-only agents |
| Synthesis | Analyze findings, plan approach | ❌ Coordinator only | No workers |
| Implementation | Make changes to code/files | ⚠️ Sequential per file set | Write-capable agents |
| Verification | Test, lint, validate changes | ✅ Parallel (independent) | Test/security agents |
🔴 Rule: NEVER skip the Synthesis phase. Research → direct Implementation = poor results.
Concurrency Rules
Safe to Parallelize
- ✅ Multiple agents reading different files
- ✅ Security audit + performance audit (read-only)
- ✅ Test runner + linter (independent)
- ✅ Exploring different directories
Must Be Sequential
- ❌ Two agents writing to the same file
- ❌ Implementation that depends on another agent's output
- ❌ Database migration + code that uses the new schema
- ❌ API change + frontend that consumes the API
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 · 210 lines · 35 tokens per session scan A a3c074d5e876
coordinator-mode is a skill published in the GitHub repository vudovn/ag-kit (8,199 stars, last pushed 3d ago), licensed MIT. It adds 35 tokens to every session and 1,740 once invoked, about $0.0001 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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