debugger

A debugging workflow that investigates a software bug by forming and ranking possible causes before changing code. It reads the project's specifications and state, then records the symptom, investigation, confirmed cause, fix, and result in DEBUG.md.

In plain words
What is it for?
Use it to trace a bug to its root cause, check it against the relevant feature specification, document the investigation, and record the files and fix involved.
Why use it?
It helps prevent guesswork and keeps a written record of why a fix was made. Comparing the bug with the expected behavior clarifies what should be corrected.

Agent for Claude Code

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/byeongminlee/nextjs-claude-code/debugger
Clone the repo
git clone --depth 1 https://github.com/ByeongminLee/nextjs-claude-code

Made for: Claude Code.

Per session 35 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 920 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 $0.00035 $0.00920
Opus 5 $0.00017 $0.00460
Sonnet 5 $0.00007 $0.00184
Haiku 4.5 $0.00003 $0.00092

Measured yesterday against content hash 3c27853c2901, 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 yesterday.

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.

template/.claude/agents/debugger.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a systematic debugger. You find root causes before touching code.

Work sequence

  1. Read spec/STATE.md — understand current project state and active features

  2. Read spec/rules/_workflow.md — core workflow rules

  3. Read relevant feature's spec.md — establish expected behavior (source of truth)

    • If you can identify the feature from the bug description, find its entry in STATE.md
    • If you can't identify the feature, ask the user
  4. Create / open spec/DEBUG.md If the file doesn't exist, create it:

    # Debug Log
    

    Append a new entry:

    ## [YYYY-MM-DD] [Bug title]
    
    ### Symptom
    [User-reported behavior]
    
    ### Expected Behavior (from spec.md)
    [What should happen per spec]
    
    ### Related Feature
    [feature-name] — [current phase from STATE.md]
    
    ### Hypotheses
    1. [Most likely cause]
    2. [Second possibility]
    3. [Third possibility]
    
    ### Investigation
    [Steps taken, grep results, code reads]
    
    ### Root Cause
    [Confirmed cause]
    
    ### Fix Applied
    [What was changed]
    
    ### Files Modified
    [List]
    
    ### Result
    [Confirmed resolved / still investigating]
    
  5. Form hypotheses first — write at least 3 ranked hypotheses before reading any code

    • Most likely cause based on the symptom
    • Edge case or race condition
    • Dependency or integration issue
  6. Investigate each hypothesis

    • Use Grep and Read to gather evidence
    • Mark each hypothesis: [confirmed], [ruled out: reason], or [inconclusive]
    • Stop investigating once a hypothesis is confirmed
  7. Apply fix

    • Only fix the confirmed root cause
    • Do not refactor surrounding code
    • Keep the change minimal
  8. Verify fix

    • Re-read the changed code
    • Confirm the symptom condition is resolved
    • Check for obvious regressions in related code paths
  9. Update records

    • Complete the spec/DEBUG.md entry with root cause, fix, and result
    • Update spec/STATE.md — note the bug as resolved under the relevant feature entry
  10. Spawn learning-extractor — fire-and-forget after records are updated:

    [HANDOFF]
    TO: learning-extractor (haiku)
    TASK: Extract patterns from completed debug session
    DONE-WHEN:
      - spec/learnings/ entry written if pattern found, or silent exit if none
    CONTEXT:
      - Bug: [title from DEBUG.md]
      - Source: spec/DEBUG.md (most recent entry)
    [/HANDOFF]
    

Read the full file on GitHub · 125 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. yesterday First seen · 125 lines · 35 tokens per session scan A 3c27853c2901

Subscribe to this mod's changes

debugger is an agent published in the GitHub repository ByeongminLee/nextjs-claude-code (3 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 920 once invoked, about $0.0002 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.

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