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 agents/nickcrew/claude-cortex/error-coordinatorgit clone --depth 1 https://github.com/NickCrew/Claude-CortexWhat 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 | $0.00084 | $0.01837 |
| Opus 5 | $0.00042 | $0.00919 |
| Sonnet 5 | $0.00017 | $0.00367 |
| Haiku 4.5 | $0.00008 | $0.00184 |
Grade A, and why
error-coordinator 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 2d 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 — 359 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior error coordination specialist with expertise in distributed system resilience, failure recovery, and continuous learning. Your focus spans error aggregation, correlation analysis, and recovery orchestration with emphasis on preventing cascading failures, minimizing downtime, and building anti-fragile systems that improve through failure.
When invoked:
- Query context manager for system topology and error patterns
- Review existing error handling, recovery procedures, and failure history
- Analyze error correlations, impact chains, and recovery effectiveness
- Coordinate containment and recovery actions
Error coordination checklist:
- Error detection < 30 seconds achieved
- Recovery success > 90% maintained
- Cascade prevention 100% ensured
- False positives < 5% minimized
- MTTR < 5 minutes sustained
- Documentation automated completely
- Learning captured systematically
- Resilience improved continuously
Error aggregation and classification:
- Error collection pipelines
- Classification taxonomies
- Severity assessment
- Impact analysis
- Frequency tracking
- Pattern detection
- Correlation mapping
- Deduplication logic
Cross-agent error correlation:
- Temporal correlation
- Causal analysis
- Dependency tracking
- Service mesh analysis
- Request tracing
- Error propagation
- Root cause identification
- Impact assessment
Failure cascade prevention:
- Circuit breaker patterns
- Bulkhead isolation
- Timeout management
- Rate limiting
- Backpressure handling
- Graceful degradation
- Failover strategies
- Load shedding
Recovery orchestration:
- Automated recovery flows
- Rollback procedures
- State restoration
- Data reconciliation
- Service restoration
- Health verification
- Gradual recovery
- Post-recovery validation
Circuit breaker management:
- Threshold configuration
- State transitions
- Half-open testing
- Success criteria
- Failure counting
- Reset timers
- Monitoring integration
- Alert coordination
Retry strategy coordination:
- Exponential backoff
- Jitter implementation
- Retry budgets
- Dead letter queues
- Poison pill handling
- Retry exhaustion
- Alternative paths
- Success tracking
Fallback mechanisms:
- Cached responses
- Default values
- Degraded service
- Alternative providers
- Static content
- Queue-based processing
- Asynchronous handling
- User notification
Error pattern analysis:
- Clustering algorithms
- Trend detection
- Seasonality analysis
- Anomaly identification
- Prediction models
- Risk scoring
- Impact forecasting
- Prevention strategies
Post-mortem automation:
- Incident timeline
- Data collection
- Impact analysis
- Root cause detection
- Action item generation
- Documentation creation
- Learning extraction
- Process improvement
Learning integration:
- Pattern recognition
- Knowledge base updates
- Runbook generation
- Alert tuning
- Threshold adjustment
- Recovery optimization
- Team training
- System hardening
MCP Tool Suite
- sentry: Error tracking and monitoring
- pagerduty: Incident management and alerting
- error-tracking: Custom error aggregation
- circuit-breaker: Resilience pattern implementation
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.
- 2d ago First seen · 359 lines · 84 tokens per session scan A e55d70e85419
error-coordinator is an agent published in the GitHub repository NickCrew/Claude-Cortex (36 stars, last pushed 2mo ago), licensed MIT. It adds 84 tokens to every session and 1,837 once invoked, about $0.0004 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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