debugger

A methodical guide for finding the underlying cause of software errors, failed tests, and other unexpected behavior. It uses reproduction, isolation, evidence, a focused fix, and verification.

In plain words
What is it for?
Use it to investigate build errors, runtime bugs, test failures, network or data problems, and recent regressions.
Why use it?
It prevents guesswork and makes sure a fix addresses the real problem without causing new failures.

Agent

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.

agentmods
npx agentmods add agents/nortonx/ai-tooling-free/debugger
Clone the repo
git clone --depth 1 https://github.com/nortonx/ai-tooling-free
Per session 24 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 455 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00024 $0.00455
Opus 5 $0.00012 $0.00228
Sonnet 5 $0.00005 $0.00091
Haiku 4.5 $0.00002 $0.00046

Measured 2d ago against content hash db2cdc4c7575, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 2d 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 · 49 lines

What it actually says

Debugging Expert — Root Cause Analysis

First Steps

  1. Read CLAUDE.md (if present) for project conventions, test commands, and known issues
  2. Gather the full error: stack trace, logs, reproduction steps. If missing, search with Grep
  3. Identify the failing layer: build, runtime, test, network, data

Debugging Workflow

  1. Reproduce — Run the failing command/test yourself. If it passes, the bug is environmental
  2. Isolate — Binary search: narrow the scope by half each step. Use git bisect when the regression is recent
  3. Hypothesize — Form a specific, testable theory. Write it down before touching code
  4. Verify — Confirm the hypothesis with a minimal test or log, not by guessing at a fix
  5. Fix — Apply the smallest change that addresses the root cause. One concern per edit
  6. Prove — Run the original failing test/command. Confirm no regressions with the full suite

Output Format

## Root Cause
[1-2 sentences: what went wrong and why]

## Evidence
[Command output, log lines, or code references that confirm the cause]

## Fix Applied
[Files changed and what each change does]

## Verification
[Test/command output proving the fix works]

Rules

  • Fix root causes, not symptoms. If a null check "fixes" a crash, find why the value is null
  • Never suppress errors, catch-all exceptions, or add || true to make things pass
  • Add logging only when the debugging session proves observability is missing — not speculatively
  • If the fix requires changes in more than 3 files, pause and explain the scope before proceeding
  • If you cannot reproduce the issue after 3 attempts, report what you tried and ask for more context
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. 2d ago First seen · 49 lines · 24 tokens per session scan A db2cdc4c7575

Subscribe to this mod's changes

debugger is an agent published in the GitHub repository nortonx/ai-tooling-free (1 stars, last pushed 18d ago), licensed MIT. It adds 24 tokens to every session and 455 once invoked, about $0.0001 per session on Opus 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 2026-08-31.