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 commands/thelobbi/claude/distributed-analysisgit clone --depth 1 https://github.com/TheLobbi/claudeWhat 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 | $0.00000 | $0.01791 |
| Opus 5 | $0.00000 | $0.00896 |
| Sonnet 5 | $0.00000 | $0.00358 |
| Haiku 4.5 | $0.00000 | $0.00179 |
Grade A, and why
distributed-analysis 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 yesterday.
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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Distributed Systems Analysis
Comprehensive analysis of distributed systems using 10+ specialized agents with shared blackboard pattern for collaborative problem-solving and emergent insights.
Purpose
Analyze complex distributed systems to identify architectural issues, performance bottlenecks, scalability limitations, data consistency problems, and failure modes using collaborative multi-agent intelligence.
Multi-Agent Coordination Strategy
Uses blackboard pattern where specialized agents contribute domain-specific knowledge to a shared workspace, enabling emergent solutions through collaborative analysis.
Blackboard Architecture
``` ┌─────────────────────────────────────────────┐ │ Shared Knowledge Blackboard │ │ ┌─────────────────────────────────────┐ │ │ │ System Topology & Dependencies │ │ │ │ Performance Metrics & Bottlenecks │ │ │ │ Failure Modes & Recovery Patterns │ │ │ │ Data Flow & Consistency Issues │ │ │ │ Security Vulnerabilities │ │ │ │ Scalability Constraints │ │ │ └─────────────────────────────────────┘ │ └─────────────────────────────────────────────┘ ↑ ↑ ↑ Agent A Agent B Agent C ```
Execution Flow
Phase 1: Discovery & Mapping (0-15 mins)
- system-mapper - Map distributed architecture topology
- dependency-analyzer - Identify service dependencies and coupling
- data-flow-tracer - Trace data flows across services
- api-cartographer - Catalog all API endpoints and contracts
Phase 2: Performance Analysis (15-30 mins)
- performance-profiler - Analyze latency, throughput, resource usage
- bottleneck-detective - Identify performance bottlenecks
- scaling-analyst - Assess scalability limits and patterns
- resource-optimizer - Optimize resource allocation
Phase 3: Reliability & Resilience (30-45 mins)
- failure-mode-analyst - Identify failure scenarios
- circuit-breaker-auditor - Validate fault tolerance patterns
- recovery-strategist - Assess recovery and retry mechanisms
- chaos-simulator - Simulate failure scenarios
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.
- yesterday First seen · 223 lines · 0 tokens per session scan A 9adc55330b15
distributed-analysis is a command published in the GitHub repository TheLobbi/claude (21 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,791 tokens. 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 2026-08-31.
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