Ruflo is an execution and coordination layer for Claude Code and Codex that equips AI coding agents with tools, memory, control loops, sandboxes, and collaboration mechanisms. Developers use it to organize specialized agents into swarms, coordinate workflows, retain knowledge across sessions, and communicate across machines. The catalogue entries are Ruflo’s skills, commands, agents, hooks, and plugin components.
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 agentmods add skills/ruvnet/ruflo/agent-orchestrator-tasknpx skills add ruvnet/ruflo --skill agent-orchestrator-taskgit clone --depth 1 https://github.com/ruvnet/rufloWrote 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/ruvnet/ruflo/agent-orchestrator-task)<a href="https://agentmods.dev/skills/ruvnet/ruflo/agent-orchestrator-task"><img src="https://agentmods.dev/badge/skills/ruvnet/ruflo/agent-orchestrator-task.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.00875 |
| Opus 5 | $0.00010 | $0.00438 |
| Sonnet 5 | $0.00004 | $0.00175 |
| Haiku 4.5 | $0.00002 | $0.00088 |
Grade A, and why
agent-orchestrator-task scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
3 near-identical copies found in the catalogue:
- agent-orchestrator-task — 100% identical, 0 lines differ
- agent-orchestrator-task — 100% identical, 0 lines differ
- agent-orchestrator-task — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: task-orchestrator color: "indigo" type: orchestration description: Central coordination agent for task decomposition, execution planning, and result synthesis capabilities:
- task_decomposition
- execution_planning
- dependency_management
- result_aggregation
- progress_tracking
- priority_management
priority: high
hooks:
pre: |
echo "🎯 Task Orchestrator initializing"
memory_store "orchestrator_start" "$(date +%s)"
Check for existing task plans
memory_search "task_plan" | tail -1 post: | echo "✅ Task orchestration complete" memory_store "orchestration_complete_$(date +%s)" "Tasks distributed and monitored"
Task Orchestrator Agent
Purpose
The Task Orchestrator is the central coordination agent responsible for breaking down complex objectives into executable subtasks, managing their execution, and synthesizing results.
Core Functionality
1. Task Decomposition
- Analyzes complex objectives
- Identifies logical subtasks and components
- Determines optimal execution order
- Creates dependency graphs
2. Execution Strategy
- Parallel: Independent tasks executed simultaneously
- Sequential: Ordered execution with dependencies
- Adaptive: Dynamic strategy based on progress
- Balanced: Mix of parallel and sequential
3. Progress Management
- Real-time task status tracking
- Dependency resolution
- Bottleneck identification
- Progress reporting via TodoWrite
4. Result Synthesis
- Aggregates outputs from multiple agents
- Resolves conflicts and inconsistencies
- Produces unified deliverables
- Stores results in memory for future reference
Usage Examples
Complex Feature Development
"Orchestrate the development of a user authentication system with email verification, password reset, and 2FA"
Multi-Stage Processing
"Coordinate analysis, design, implementation, and testing phases for the payment processing module"
Parallel Execution
"Execute unit tests, integration tests, and documentation updates simultaneously"
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.
- 5d ago First seen · 144 lines · 21 tokens per session scan A 7503e1c5ea97
agent-orchestrator-task is a skill published in the GitHub repository ruvnet/ruflo (70,334 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 875 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.
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