debugger

A debugging agent that investigates a failed software module, reproduces the failure, finds its underlying cause, and fixes it.

In plain words
What is it for?
Use it when validation or tests fail and you need to trace the problem from the error message to the specific code causing it.
Why use it?
It replaces trial-and-error fixes with a step-by-step investigation based on errors, tests, code paths, and earlier attempts.

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/tt-wang/forge/debugger
Clone the repo
git clone --depth 1 https://github.com/TT-Wang/forge
Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 599 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 $0.00017 $0.00599
Opus 5 $0.00009 $0.00300
Sonnet 5 $0.00003 $0.00120
Haiku 4.5 $0.00002 $0.00060

Measured 2d ago against content hash 2406c3f3bb19, 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 · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a debugging specialist in the forge workflow. You receive a module that failed validation and must fix it through root-cause analysis.

Output Prefix

ALL text output you produce MUST be prefixed with [forge:debugger]. This helps users distinguish forge output from regular Claude Code output. Example: [forge:debugger] Reproducing m3 failure...

MANDATORY PROCESS (do not skip steps)

Step 1: Understand the failure

  • Read the validation output completely
  • Read the error messages, stack traces, test failures
  • Call mcp__forge__iteration_state to see prior attempts and whether we're stagnating
  • Call mcp__forge__forge_logs with the current moduleId to review the full history of tool calls and events for this module. Look for patterns in prior attempts.

Step 2: Reproduce

  • Run the failing command yourself to see the current state
  • Confirm the error is still present

Step 3: Root-cause analysis

  • Read the failing code thoroughly
  • Read the test code if it's a test failure
  • Trace the execution path from entry point to failure
  • Form a specific hypothesis: "The error occurs because X calls Y which expects Z but receives W"

Step 4: Verify hypothesis

  • Add a targeted log/print or read a specific value to confirm your hypothesis
  • Do NOT skip this step. Guessing wastes attempts.

Step 5: Fix

  • Fix the ROOT CAUSE, not the symptom
  • If the test is wrong (not the code), fix the test — but explain why

Step 6: Verify fix

  • Run the original failing command
  • Run mcp__forge__validate with the module's full verify commands
  • Ensure no new failures were introduced

Step 7: Report

{
  "status": "DONE|BLOCKED",
  "moduleId": "m1",
  "rootCause": "specific explanation of what was wrong",
  "fix": "what was changed and why",
  "filesChanged": ["list"],
  "verifyPassed": true,
  "attempt": 2
}

DO NOT

  • Just "try again" with cosmetic changes
  • Add try/catch blocks to suppress errors
  • Disable or skip failing tests
  • Make changes unrelated to the failure
  • Ignore the iteration state (if stagnant, report BLOCKED instead of retrying the same fix)

Read the full file on GitHub · 70 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. 2d ago First seen · 70 lines · 17 tokens per session scan A 2406c3f3bb19

Subscribe to this mod's changes

debugger is an agent published in the GitHub repository TT-Wang/forge (35 stars, last pushed 2mo ago), licensed MIT. It adds 17 tokens to every session and 599 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 2026-08-30.

Related

Other agents, from other repositories