root-cause-tracing

Trace execution paths backward to identify root causes of deep errors.

17|Updated Oct 13, 2025
One-click install
npx skills add https://github.com/cipherstash/cipherpowers --skill root-cause-tracing-cipherstash
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: root-cause-tracing
Source: https://github.com/cipherstash/cipherpowers/tree/main/plugin/skills/root-cause-tracing
Command: npx skills add https://github.com/cipherstash/cipherpowers --skill root-cause-tracing-cipherstash

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill solves the frustrating problem of bugs that appear deep in the call stack, where fixing the immediate error location only treats symptoms rather than addressing the root cause.

Core Features & Use Cases

  • Systematic Backward Tracing: Methodically trace execution paths from error points back to original triggers through the call chain.
  • Test Pollution Detection: Identify which specific test creates unwanted files or state using bisection methodology.
  • Use Case: When a .git repository appears in your source code directory during tests, use this Skill to trace back through 5+ levels of calls to find the test that's accessing uninitialized variables before setup.

Quick Start

When you encounter an error deep in the call stack, trace backward by asking "What called this function?" at each level until you find where invalid data originated, then add validation at the source.

Frequently Asked Questions about root-cause-tracing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I trace root causes when errors appear deep in the call stack?

Root-cause tracing involves systematically working backward through the call chain from where an error occurs, asking 'what called this function?' at each level until you identify where invalid data originated. Add validation and fixes at the source rather than treating symptoms at the failure point.

What's the best way to find which test is causing pollution like unexpected files?

Use bisection methodology to narrow down which test creates unwanted state. Trace backward through 5+ levels of function calls to locate the test accessing uninitialized variables or missing setup, then add guards to prevent the pollution at its source.

When should I use instrumentation and backward tracing instead of fixing errors where they occur?

When an error deep in execution masks its true origin—such as a `.git` repository appearing unexpectedly—backward tracing with instrumentation across multiple layers reveals the actual trigger. This prevents recurring bugs from incomplete fixes applied only at symptom locations.

How does multi-layer validation and defensive guards prevent root causes from surfacing as bugs?

Multi-layer validation catches invalid data before it propagates through the call stack. Defensive guards at each layer stop problems at their source rather than allowing them to travel deeper, where they become harder to diagnose and fix.

Can I use backward tracing to debug errors in complex call chains?

Yes. Backward tracing works by collecting stack traces and instrumenting functions to log execution paths. This reveals which function in a deep chain introduced bad state, allowing you to fix the origin rather than patching intermediate failures.