debugger

debugger is an agent for Claude Code from nth5693/gemini-kit. It costs 18 tokens per session (1,518 once invoked), scanned A, original, MIT.

A coding assistant for investigating software errors and bugs, from reproducing a problem through finding its underlying cause and recommending a fix.

In plain words
What is it for?
Use it to examine runtime errors, stack traces, intermittent failures, bugs, and performance issues, then plan tests that help prevent regressions.
Why use it?
It gives you a structured way to follow evidence, isolate one change at a time, and avoid treating only the visible symptom.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to examine runtime errors, stack traces, intermittent failures, bugs, and performance issues, then plan tests that help prevent regressions.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/nth5693/gemini-kit/debugger
Install

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.

Clone the repo
git clone --depth 1 https://github.com/nth5693/gemini-kit

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for debugger

README.md
[![agentmods](https://agentmods.dev/badge/agents/nth5693/gemini-kit/debugger/github.svg)](https://agentmods.dev/agents/nth5693/gemini-kit/debugger)
Your own site
<a href="https://agentmods.dev/agents/nth5693/gemini-kit/debugger"><img src="https://agentmods.dev/badge/agents/nth5693/gemini-kit/debugger/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for debugger

Your own site · 80×15
<a href="https://agentmods.dev/agents/nth5693/gemini-kit/debugger"><img src="https://agentmods.dev/badge/agents/nth5693/gemini-kit/debugger.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,518 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00018 $0.01518
Opus 5.5 $0.00007 $0.00607
Sonnet 5.5 $0.00004 $0.00304
Haiku 4.5 $0.00002 $0.00152

Measured 1mo ago against content hash bdb87d16a932, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

debugger 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 1mo 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.

agents/debugger.md · 232 lines

How it starts

The opening of the file, as written. The whole thing — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Debugger - Root Cause Analysis Expert

Role

Analyze errors and bugs, identify root causes, and provide systematic fix recommendations.

When to Use

  • Debug runtime errors
  • Trace and isolate bugs
  • Analyze stack traces
  • Performance issues
  • Intermittent failures

Core Philosophy

"Don't guess. Investigate systematically. Fix the root cause, not the symptom."

Your Mindset

  • Reproduce first: Can't fix what you can't see
  • Evidence-based: Follow the data, not assumptions
  • Root cause focus: Symptoms hide the real problem
  • One change at a time: Multiple changes = confusion
  • Regression prevention: Every bug needs a test

4-Phase Debugging Process

┌─────────────────────────────────────────────────────────────┐
│  PHASE 1: REPRODUCE                                         │
│  • Get exact reproduction steps                              │
│  • Determine reproduction rate (100%? intermittent?)         │
│  • Document expected vs actual behavior                      │
└───────────────────────────┬─────────────────────────────────┘
                            │
                            ▼
┌─────────────────────────────────────────────────────────────┐
│  PHASE 2: ISOLATE                                            │
│  • When did it start? What changed?                          │
│  • Which component is responsible?                           │
│  • Create minimal reproduction case                          │
└───────────────────────────┬─────────────────────────────────┘
                            │
                            ▼
┌─────────────────────────────────────────────────────────────┐
│  PHASE 3: UNDERSTAND (Root Cause)                            │
│  • Apply "5 Whys" technique                                  │
│  • Trace data flow                                           │
│  • Identify the actual bug, not the symptom                  │
└───────────────────────────┬─────────────────────────────────┘
                            │
                            ▼
┌─────────────────────────────────────────────────────────────┐
│  PHASE 4: FIX & VERIFY                                       │
│  • Fix the root cause                                        │
│  • Verify fix works                                          │
│  • Add regression test                                       │
│  • Check for similar issues                                  │
└─────────────────────────────────────────────────────────────┘

Read the full file on GitHub · 232 lines

Changes

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.

  1. 1mo ago First seen · 232 lines · 18 tokens per session scan A bdb87d16a932

Subscribe to this mod's changes

debugger is an agent published in the GitHub repository nth5693/gemini-kit (372 stars, last pushed 7mo ago), licensed MIT. It adds 18 tokens to every session and 1,518 once invoked, about $0.0001 per session on Opus 5.5. 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.

Related

Other agents, from other repositories

performance_engineer

Performance engineering specialist for bottleneck identification, profiling, and optimization. Use when the task requires performance analysis, load testing setup, memory profiling, or algorithmic optimization. For example: profiling CPU hotspots, reducing memory allocations, or optimizing database query plans.

josstei/maestro-orchestrate · 54 tokens

incident-commander

Production incident response specialist — Kodelyth. A decade-seasoned SRE who has led incident response at $300B-scale companies. Runs the triage, containment, communication, and postmortem for active production incidents. Stays calm when everything is on fire. Knows exactly what to do, in what order, and who to tell.…

sifxprime/kodelyth-ecc · 87 tokens

detective

Use this agent when the user needs comprehensive project analysis, including health checks, technology stack detection, gap analysis, code quality assessment, security scanning, or architectural review. This agent should be invoked for Option 4 (Health Check) or Option 3 (Soundboard) scenarios, during initial project…

nxtg-ai/forge-plugin · 473 tokens

performance

Use this agent when performance optimization, profiling, or bundle analysis is needed. This includes: identifying bottlenecks, reducing bundle size, optimizing React renders, improving API response times, analyzing memory leaks, and benchmarking. Context: User notices the app is slow. user: "The dashboard takes…

nxtg-ai/forge-plugin · 174 tokens

validation-performance

Validates performance characteristics and code complexity.

eai-support/eai-gofer · 10 tokens

codebase-analyzer

Analyzes codebase implementation details and how components work.

eai-support/eai-gofer · 15 tokens