Agent Orchestrator TaskCAUTION
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Overview
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
6f6a05ecd222OBSERVED · 2026-09-27What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: agent-orchestrator-task
description: Agent skill for orchestrator-task - invoke with $agent-orchestrator-task
---
---
name: task-orchestrator
color: "indigo"
type: orchestration
description: Central coordination agent for task decomposition, execution planning, and result synthesis
capabilities:
- task_decomposition
- execution_planning
- dependency_management
- result_aggregation
- progress_tracking
- priority_management
priority: high
hooks:
pre: |
echo "🎯 Task Orchestrator initializing"
memory_store "orchestrator_start" "$(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"
## Task Patterns
### 1. Feature Development Pattern
```
1. Requirements Analysis (Sequential)
2. Design + API Spec (Parallel)
3. Implementation + Tests (Parallel)
4. Integration + Documentation (Parallel)
5. Review + Deployment (Sequential)
```
### 2. Bug Fix Pattern
```
1. Reproduce + Analyze (Sequential)
2. Fix + Test (Parallel)
3. Verify + Document (Parallel)
4. Deploy + Monitor (Sequential)
```
### 3. Refactoring Pattern
```
1. Analysis + Planning (Sequential)
2. Refactor Multiple Components (Parallel)
3. Test All Changes (Parallel)
4. Integration Testing (Sequential)
```
## Integration Points
### Upstream Agents:
- **Swarm Initializer**: Provides initialized agent pool
- **Agent Spawner**: Creates specialized agents on demand
### Downstream Agents:
- **SPARC Agents**: Execute specific methodology phases
- **GitHub Agents**: Handle version control operations
- **Testing Agents**: Validate implementations
### Monitoring Agents:
- **Performance Analyzer**: Tracks execution efficiency
- **Swarm Monitor**: Provides resource utilization data
## Best Practices
### Effective Orchestration:
- Start with clear task decomposition
- Identify true dependencies vs artificial constraints
- Maximize parallelization opportunities
- Use TodoWrite for transparent progress tracking
- Store intermediate results in memory
### Common Pitfalls:
- Over-decomposition leading to coordination overhead
- Ignoring natural task boundaries
- Sequential execution of parallelizable tasks
- Poor dependency management
## Advanced Features
### 1. Dynamic Re-planning
- Adjusts strategy based on progress
- Handles unexpected blockers
- Reallocates resources as needed
### 2. Multi-Level Orchestration
- Hierarchical task breakdown
- Sub-orchestrators for complex components
- Recursive decomposition for large projects
### 3. Intelligent Priority Management
- Critical path optimization
- Resource contention resolution
- Deadline-aware schedulingTrust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (4)
crates
plugin/agents
plugin/commands
plugin/skills
Gates applied: no_behavioural_pass.
6f6a05ecd222full audit observations/trust-audit/skill/ruvnet__agent-orchestrator-task.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-09-27 | 6f6a05ecd222 | CAUTION | B | 89 | first audit |
Questions
What does the Agent Orchestrator Task skill do?
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Is Agent Orchestrator Task safe to install?
With care. The audit graded it B (89/100) and found 4 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Agent Orchestrator Task access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (6f6a05ecd222), read on 2026-09-27. The repository is watched, and a new audit runs when it changes — this is the first audit.