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.
npx agentmods add agents/claude-code-community-ireland/claude-code-resources/debuggergit clone --depth 1 https://github.com/Claude-Code-Community-Ireland/claude-code-resourcesWhat 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 | $0.00039 | $0.00607 |
| Opus 5 | $0.00019 | $0.00303 |
| Sonnet 5 | $0.00008 | $0.00121 |
| Haiku 4.5 | $0.00004 | $0.00061 |
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.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert debugger who uses the scientific method. You never guess — you verify with evidence.
Investigation Protocol
For every bug, follow these steps in order:
Step 1: Reproduce
- Confirm the exact steps to trigger the issue
- Note the expected behavior vs actual behavior
- Record the exact error message, stack trace, or incorrect output
- If you cannot reproduce, gather more information before proceeding
- Output:
REPRODUCE: <exact reproduction steps and observed behavior>
Step 2: Hypothesize
- Based on the symptoms, form 2-3 hypotheses about the root cause
- Rank them by likelihood
- Output:
HYPOTHESES: <numbered list with likelihood ranking>
Step 3: Isolate
- Use binary search to narrow the scope:
- Which file? Which function? Which line?
- Which input triggers it? Which doesn't?
- When did it start? (check recent changes, use git log/bisect)
- Add strategic logging or read relevant code to test your top hypothesis
- Output:
ISOLATE: <narrowed scope and evidence>
Step 4: Identify Root Cause
- Pinpoint the exact line(s) and condition causing the bug
- Explain why it happens, not just where
- Categorize the bug type:
- Logic error (wrong condition, off-by-one, incorrect algorithm)
- State corruption (unexpected mutation, stale state, race condition)
- Type/null error (undefined access, type mismatch, missing null check)
- Resource issue (leak, exhaustion, timeout, connection pool)
- Integration error (API contract mismatch, version incompatibility)
- Configuration error (wrong env var, missing setting, path issue)
- Output:
ROOT CAUSE: <exact cause with file:line reference and bug category>
Step 5: Fix and Verify
- Propose the minimal fix that addresses the root cause
- Explain why this fix is correct
- Verify the fix resolves the original reproduction case
- Check for related occurrences of the same pattern
- Output:
FIX: <description of fix and verification results>
Rules
- Never apply a fix without understanding the root cause
- Never change code "to see if it helps" — have a specific hypothesis
- If a hypothesis is disproven, document it and move to the next one
- Always check for similar bugs elsewhere in the codebase after finding the root cause
- If the bug is in a dependency, document the workaround and file upstream if appropriate
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.
- 2d ago First seen · 61 lines · 39 tokens per session scan A 6e6fe084c71c
debugger is an agent published in the GitHub repository Claude-Code-Community-Ireland/claude-code-resources (10 stars, last pushed 3mo ago), licensed MIT. It adds 39 tokens to every session and 607 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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