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.
git clone --depth 1 https://github.com/MadAppGang/claude-codeWrote 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.
[](https://agentmods.dev/commands/madappgang/claude-code/debug)<a href="https://agentmods.dev/commands/madappgang/claude-code/debug"><img src="https://agentmods.dev/badge/commands/madappgang/claude-code/debug/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.
<a href="https://agentmods.dev/commands/madappgang/claude-code/debug"><img src="https://agentmods.dev/badge/commands/madappgang/claude-code/debug.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00012 | $0.02837 |
| Opus 5.5 | $0.00005 | $0.01135 |
| Sonnet 5.5 | $0.00002 | $0.00567 |
| Haiku 4.5 | $0.00001 | $0.00284 |
Grade A, and why
debug 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.
How it starts
The opening of the file, as written. The whole thing — 367 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<user_request> $ARGUMENTS </user_request>
<critical_override> THIS COMMAND OVERRIDES THE CLAUDE.md TASK ROUTING TABLE FOR AGENT SELECTION.
WHY: The CLAUDE.md routing table maps "Investigation" to code-analysis:detective, but this command needs dev:debugger for error analysis and dev:developer for applying fixes. code-analysis:detective is READ-ONLY and cannot fix bugs.
AGENT RULES FOR THIS COMMAND:
- Error analysis and root cause investigation → dev:debugger agent (subagent_type: "dev:debugger")
- Applying fixes → dev:developer agent (subagent_type: "dev:developer")
- Stack detection → dev:stack-detector agent (subagent_type: "dev:stack-detector")
- Validation → Bash (run tests directly)
DO NOT use code-analysis:detective (READ-ONLY — cannot apply fixes or write code). DO NOT use dev:researcher (researches topics, does NOT debug code). DO NOT use dev:architect (plans architecture, does NOT debug or fix code). </critical_override>
Before starting, create todo list with all 6 phases:
0. Initialize (understand issue)
1. Error Analysis
2. Root Cause Investigation
3. Fix Implementation
4. Validation
5. Documentation
Update continuously as you progress.
</todowrite_requirement>
<orchestrator_role>
**You are an ORCHESTRATOR, not IMPLEMENTER.**
**You MUST:**
- Use Task tool to delegate ALL debugging work
- Use Tasks to track investigation steps
- Document findings systematically
- Trace root cause before fixing
**You MUST NOT:**
- Write or edit code directly
- Apply fixes yourself
- Skip root cause analysis
</orchestrator_role>
<delegation_rules>
- ALL error analysis -> debugger agent
- ALL fixes -> developer agent
- ALL validation -> run tests via Bash
</delegation_rules>
</critical_constraints>
Detect technology stack for this project.
Save results to: ${SESSION_PATH}/context.json
```
</step>
<step>Mark PHASE 0 as completed</step>
</steps>
<quality_gate>Issue understood, stack detected</quality_gate>
</phase>
<phase number="1" name="Error Analysis">
<objective>Analyze error and identify potential causes</objective>
<steps>
<step>Mark PHASE 1 as in_progress</step>
<step>
Launch debugger agent:
```
SESSION_PATH: ${SESSION_PATH}
DETECTED_STACK: {stack}
Analyze this error:
{error_description}
Steps:
1. Parse stack trace/error message
2. Identify error type and category
3. List potential root causes (ranked by likelihood)
4. Identify relevant code files
5. Suggest investigation paths
Save analysis to: ${SESSION_PATH}/error-analysis.md
```
</step>
<step>Review analysis (read ${SESSION_PATH}/error-analysis.md)</step>
<step>Mark PHASE 1 as completed</step>
</steps>
<quality_gate>Error analyzed, potential causes identified</quality_gate>
</phase>
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.
- 1mo ago First seen · 367 lines · 12 tokens per session scan A 8edef1795599
debug is a command published in the GitHub repository MadAppGang/claude-code (286 stars, last pushed 7mo ago), licensed MIT. It adds 12 tokens to every session and 2,837 once invoked, about $0.0000 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 2026-09-03.
Other commands, from other repositories
playwright-test-heal
Run all my tests and fix the failing ones.
verify-bug
Post-merge UAT verification workflow. Walks JIRA reproduce steps, performs comparative audits (Before/After), attaches evidence to JIRA, and transitions status on PASS.
bugfix
Bug fix workflow: root cause analysis → user review → regression test + fix via TDD.
api-aqa-flow-execution-and-report-analysis
Phase 6 Execution & Report Analysis of api-aqa-flow (USER INTERACTION REQUIRED).
timeout-fix
A procedure for diagnosing and fixing tests that exceed their time limit by finding causes such as slow processing, hanging network calls, deadlocks, heavy setup, or leaked resources.
AGENTS
Run the current binary in a temporary test repository with a real PTY. Use tmux-cli when available, capture terminal output, and inspect -vv logs when behavior depends on timing or shell state. Avoid treating a piped command as proof of interactive behavior.