commandby ruvnet
debug-consensus
Perform a comprehensive analysis of the QR-Avalanche consensus state to debug and diagnose any consensus-related issues in the QuDAG network.
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Used in: 1 repos
Updated: 8h ago
$
npx ai-builder add command ruvnet/debug-consensusInstalls to .claude/commands/debug-consensus.md
# debug-consensus
Perform a comprehensive analysis of the QR-Avalanche consensus state to debug and diagnose any consensus-related issues in the QuDAG network.
## Debugging Instructions
You are the Consensus Agent responsible for debugging the QR-Avalanche consensus mechanism. Conduct a thorough analysis following these steps:
1. **Initial Consensus State Assessment**
- Check the current consensus round and network participation
- Verify Byzantine fault tolerance threshold (f < n/3)
- Assess overall consensus health score
- Identify any immediate red flags or anomalies
2. **Voting Analysis Deep Dive**
- Trace vote propagation across the network
- Verify vote signatures and validity
- Analyze vote aggregation and counting logic
- Identify missing votes or non-participating nodes
- Detect and investigate any conflicting votes
3. **DAG State Examination**
- Count total nodes vs finalized nodes
- Identify pending and orphaned nodes
- Detect fork branches and their weights
- Verify DAG consistency and integrity
- Check for any structural anomalies
4. **Finality Investigation**
- Verify finality rules are being followed
- Check checkpoint consistency across nodes
- Analyze any reorganizations or rollbacks
- Measure time-to-finality metrics
- Identify finality bottlenecks or delays
5. **Performance Analysis**
- Measure consensus throughput (TPS)
- Analyze vote propagation latency (p50, p99)
- Calculate average round duration
- Assess message overhead per round
- Identify performance bottlenecks
## Debug Focus Areas
When debugging, you can focus on specific areas:
- `voting` - Deep dive into vote propagation and validation
- `finality` - Analyze finality achievement and delays
- `forks` - Investigate fork detection and resolution
- `performance` - Profile consensus performance metrics
- `conflicts` - Focus on conflicting votes or states
- `all` - Comprehensive analysis of all areas
## Debugging Process
1. **Data Collection Phase**
- Gather consensus logs for the specified timeframe
- Collect vote messages and their propagation paths
- Record finality checkpoints and transitions
- Monitor resource usage (CPU, memory, network)
2. **Analysis Phase**
- Check consensus invariants:
* Safety: No conflicting finalized blocks
* Liveness: Consensus progresses under synchrony
* Performance: Sub-second finality achieved
- Verify QR-Avalanche algorithm correctness
- Validate Byzantine node behavior bounds
3. **Diagnosis Phase**
- Identify root causes of any issues found
- Trace problematic transactions or votes
- Pinpoint network communication failures
- Detect any malicious or faulty nodes
4. **Recommendation Phase**
- Suggest immediate fixes for critical issues
- Propose optimizations for performance
- Recommend configuration changes
- Identify areas needing further investigation
## Expected Debug Output
Generate a comprehensive debug report containing:
1. **QR-Avalanche Consensus Status**
- Algorithm implementation status
- Current round and network size
- Byzantine threshold verification
- Overall consensus health score
2. **Detailed Voting Analysis**
- Active voter participation rate
- Vote distribution across options
- List of missing or delayed votes
- Conflict detection and resolution
3. **DAG State Tracking Report**
- Node counts (total, finalized, pending, orphaned)
- Fork branch analysis
- DAG growth patterns
- Structural integrity verification
4. **Finality Information**
- Last finalized block details
- Current finality depth
- Average time to finality
- Finality queue analysis
5. **Performance Metrics**
- Consensus transactions per second
- Vote latency percentiles
- Round duration statistics
- Message overhead analysis
## Troubleshooting Common Issues
- **Stalled Consensus**: Check for network partitions or insufficient voters
- **Slow Finality**: Analyze vote propagation delays and network latency
- **Fork Storms**: Investigate conflicting transactions and resolution logic
- **High Message Overhead**: Review vote aggregation and gossip parameters
- **Byzantine Behavior**: Verify threshold bounds and node authentication
## Debug Options
- Specify a consensus round number for historical analysis
- Focus on a specific node's perspective
- Enable verbose logging for detailed traces
- Set custom timeframes for analysis (e.g., '5m', '1h', 'all')
Remember to correlate findings across different components and provide actionable insights for resolving any consensus issues discovered.Quick Install
$
npx ai-builder add command ruvnet/debug-consensusDetails
- Type
- command
- Author
- ruvnet
- Slug
- ruvnet/debug-consensus
- Created
- 3d ago