shadow-claw

What problem does it solve?

Shadow Claw provides a structured, multi-perspective approach to diagnosing system faults by generating diverse hypotheses and organizing evidence into a traceable narrative that accelerates root-cause analysis.

Core Features & Use Cases

• Multi-view hypothesis generation across execution paths, time/changes, resources, feedback loops, and data flows for comprehensive fault coverage.
• Structured evidence chaining with explicit confidence levels, absence facts, and significance annotations to support evidence-driven decisions.
• Investigation-cycle guidance with world expansion rules, hypothesis lifecycles, and convergence criteria to converge on root causes or escalate when needed.
• Use Case: When a service experiences intermittent errors, Shadow Claw helps operators generate competing explanations, collect traces/logs, and validate hypotheses across multiple worlds to pinpoint the fault.

Quick Start

Initiate Shadow Claw for a reported incident by outlining the symptoms, then let it generate hypotheses and start evidence gathering.