gitnexus-debugging

Name: gitnexus-debugging
Availability: InStock
Author: Herbivore

Trace software failures to responsible execution flows and symbols in GitNexus codebases.

92|8|Updated May 15, 2026

Search Tags:#debugging #root cause analysis #code investigation #call graph #error tracing #gitnexus #endpoint failures

Ready to run

npx skills add https://github.com/LonelyHerbivore/Trellis-Herbivore --skill gitnexus-debugging-lonelyherbivore

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gitnexus-debugging
Source: https://github.com/LonelyHerbivore/Trellis-Herbivore/tree/main/.claude/skills/gitnexus/gitnexus-debugging
Command: npx skills add https://github.com/LonelyHerbivore/Trellis-Herbivore --skill gitnexus-debugging-lonelyherbivore

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you pinpoint the root cause of bugs by tracing error symptoms through the calling process graph instead of guessing from logs alone.

Core Features & Use Cases

Query execution flows: Find related processes and symbols from an error message or symptom.
Inspect caller/callee context: See how a suspect function is invoked and what it calls (including external dependencies).
Custom call-chain tracing: Use targeted graph queries to reconstruct short execution paths for deeper investigation.
Practical use cases: Intermittent failures, wrong return values, endpoint 500s, and regressions where you need to understand impact.

Quick Start

Ask the AI to trace this bug by telling it the error message or failing behavior you observe.

Frequently Asked Questions about gitnexus-debugging

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

FAQPage Schema

How do I trace the root cause of a runtime error from a call graph?▼

You can trace intermittent endpoint failures by querying execution flows from the observed symptom and inspecting the caller/callee context to reconstruct the failing execution path through the codebase.

How do I investigate intermittent endpoint failures in my codebase?▼

You investigate intermittent endpoint failures by tracing the error symptom through the calling process graph, using targeted graph queries to reconstruct the short execution paths causing the 500 errors.

Can I trace callers and callees for a suspicious function during code investigation?▼

Yes, you can inspect caller and callee contexts for a suspicious function to see how it is invoked and what it calls, including external dependencies, to aid code investigation.

What is the best way to debug regressions using call graph tracing instead of logs?▼

The best way to debug regressions is tracing error symptoms through the process graph rather than guessing from logs, using custom call-chain queries to understand the impact and locate the responsible symbols.

Do I need custom graph queries to reconstruct execution paths for debugging?▼

You need custom graph queries to reconstruct short execution paths for deeper investigation, applying targeted queries to trace the exact execution flows responsible for the observed software failure.

Does code investigation with call graph tracing work for wrong return values?▼

Code investigation via call graph tracing works for wrong return values by tracing the symptom to the responsible execution flow, inspecting how the function is invoked and what it returns to confirm the root cause.