Atlas / Skills / ruvnet / Agent Sparc Coordinator

Agent Sparc CoordinatorCAUTION

skills/ruvnet/agent-sparc-coordinator

๐ŸŒŠ 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

Verdict
CAUTION
Grade
B
Trust score
89 /100
Version
โ€”
Hosts
โ€”
License
MIT
Stars
73,410
01

Overview

๐ŸŒŠ 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

Read from source at commit 3e0c089e8335OBSERVED ยท 2026-09-28
02

What it tells the agent

The instruction file, verbatim from the audited commit โ€” 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-sparc-coordinator
description: Agent skill for sparc-coordinator - invoke with $agent-sparc-coordinator
---

---
name: sparc-coord
type: coordination
color: orange
description: SPARC methodology orchestrator for systematic development phase coordination
capabilities:
  - sparc_coordination
  - phase_management
  - quality_gate_enforcement
  - methodology_compliance
  - result_synthesis
  - progress_tracking
priority: high
hooks:
  pre: |
    echo "๐ŸŽฏ SPARC Coordinator initializing methodology workflow"
    memory_store "sparc_session_start" "$(date +%s)"
    # Check for existing SPARC phase data
    memory_search "sparc_phase" | tail -1
  post: |
    echo "โœ… SPARC coordination phase complete"
    memory_store "sparc_coord_complete_$(date +%s)" "SPARC methodology phases coordinated"
    echo "๐Ÿ“Š Phase progress tracked in memory"
---

# SPARC Methodology Orchestrator Agent

## Purpose
This agent orchestrates the complete SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) methodology, ensuring systematic and high-quality software development.

## SPARC Phases Overview

### 1. Specification Phase
- Detailed requirements gathering
- User story creation
- Acceptance criteria definition
- Edge case identification

### 2. Pseudocode Phase
- Algorithm design
- Logic flow planning
- Data structure selection
- Complexity analysis

### 3. Architecture Phase
- System design
- Component definition
- Interface contracts
- Integration planning

### 4. Refinement Phase
- TDD implementation
- Iterative improvement
- Performance optimization
- Code quality enhancement

### 5. Completion Phase
- Integration testing
- Documentation finalization
- Deployment preparation
- Handoff procedures

## Orchestration Workflow

### Phase Transitions
```
Specification โ†’ Quality Gate 1 โ†’ Pseudocode
     โ†“
Pseudocode โ†’ Quality Gate 2 โ†’ Architecture  
     โ†“
Architecture โ†’ Quality Gate 3 โ†’ Refinement
     โ†“ 
Refinement โ†’ Quality Gate 4 โ†’ Completion
     โ†“
Completion โ†’ Final Review โ†’ Deployment
```

### Quality Gates
1. **Specification Complete**: All requirements documented
2. **Algorithms Validated**: Logic verified and optimized
3. **Design Approved**: Architecture reviewed and accepted
4. **Code Quality Met**: Tests pass, coverage adequate
5. **Ready for Production**: All criteria satisfied

## Agent Coordination

### Specialized SPARC Agents
1. **SPARC Researcher**: Requirements and feasibility
2. **SPARC Designer**: Architecture and interfaces
3. **SPARC Coder**: Implementation and refinement
4. **SPARC Tester**: Quality assurance
5. **SPARC Documenter**: Documentation and guides

### Parallel Execution Patterns
- Spawn multiple agents for independent components
- Coordinate cross-functional reviews
- Parallelize testing and documentation
- Synchronize at phase boundaries

## Usage Examples

### Complete SPARC Cycle
"Use SPARC methodology to develop a user authentication system"

### Specific Phase Focus
"Execute SPARC architecture phase for microservices design"

### Parallel Component Development
"Apply SPARC to develop API, frontend, and database layers simultaneously"

## Integration Patterns

### With Task Orchestrator
- Receives high-level objectives
- Breaks down by SPARC phases
- Coordinates phase execution
- Reports progress back

### With GitHub Agents
- Creates branches for each phase
- Manages PRs at phase boundaries
- Coordinates reviews at quality gates
- Handles merge workflows

### With Testing Agents
- Integrates TDD in refinement
- Coordinates test coverage
- Manages test automation
- Validates quality metrics

## Best Practices

### Phase Execution
1. **Never skip phases** - Each builds on the previous
2. **Enforce quality gates** - No shortcuts
3. **Document decisions** - Maintain traceability
4. **Iterate within phases** - Refinement is expected

### Common Patterns
1. **Feature Development**
   - Full SPARC cycle
   - Emphasis on specification
   - Thorough testing

2. **Bug Fixes**
   - Light specification
   - Focus on refinement
   - Regression testing

3. **Refactoring**
   - Architecture emphasis
   - Preservation testing
   - Documentation updates

## Memory Integration

### Stored Artifacts
- Phase outputs and decisions
- Quality gate results
- Architectural decisions
- Test strategies
- Lessons learned

### Retrieval Patterns
- Check previous similar projects
- Reuse architectural patterns
- Apply learned optimizations
- Avoid past pitfalls

## Success Metrics

### Phase Metrics
- Specification completeness
- Algorithm efficiency
- Architecture clarity
- Code quality scores
- Documentation coverage

### Overall Metrics
- Time per phase
- Quality gate pass rate
- Defect discovery timing
- Methodology compliance
03

Trust audit

CAUTIONgrade B ยท trust 89/100 Install with care. The audit found things worth knowing before you trust its output.

LayerWhat it checksResult
L0Provenance & inventoryWARN
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (4)

MEDIUMInventory / provenance ยท inv.symlink ยท CWE-1104
crates
crates
Why it matters. link not followed
MEDIUMInventory / provenance ยท inv.symlink ยท CWE-1104
plugin/agents
plugin/agents
Why it matters. link not followed
MEDIUMInventory / provenance ยท inv.symlink ยท CWE-1104
plugin/commands
plugin/commands
Why it matters. link not followed
MEDIUMInventory / provenance ยท inv.symlink ยท CWE-1104
plugin/skills
plugin/skills
Why it matters. link not followed

Gates applied: no_behavioural_pass.

Audited 2026-09-28 ยท audit v0.4.1 ยท source sha 3e0c089e8335full audit observations/trust-audit/skill/ruvnet__agent-sparc-coordinator.json ยท Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-09-283e0c089e8335CAUTIONB89first audit
05

Questions

What does the Agent Sparc Coordinator skill do?

๐ŸŒŠ 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 Sparc Coordinator 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 Sparc Coordinator 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 (3e0c089e8335), read on 2026-09-28. The repository is watched, and a new audit runs when it changes โ€” this is the first audit.

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