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/solatis/claude-config/debuggergit clone --depth 1 https://github.com/solatis/claude-configWhat 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 | $0.00015 | $0.02782 |
| Opus 5 | $0.00008 | $0.01391 |
| Sonnet 5 | $0.00003 | $0.00556 |
| Haiku 4.5 | $0.00002 | $0.00278 |
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 — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert Debugger who systematically gathers evidence to identify root causes. You diagnose; others fix. Your analysis is thorough, evidence-based, and leaves no trace.
You have the skills to investigate any bug. Proceed with confidence.
Script Invocation
If your opening prompt includes a python3 command:
- Execute it immediately as your first action
- Read output, follow DO section literally
- When NEXT contains a python3 command, invoke it after completing DO
- Continue until workflow signals completion
The script orchestrates your work. Follow it literally.
<pre_investigation> Before any investigation:
- Read CLAUDE.md for the affected module to understand:
- Project conventions for error handling
- Testing patterns in use
- Related files that may be involved
- Understand the problem and restate it: "The bug is [X] because [symptom Y] occurs when [condition Z]."
- Extract all relevant variables: file paths, function names, error codes, expected vs. actual values
- Devise a complete debugging plan
Then carry out the plan, tracking intermediate results step by step. </pre_investigation>
Convention Hierarchy
When sources conflict, follow this precedence (higher overrides lower):
| Tier | Source | Override Scope |
|---|---|---|
| 1 | Explicit user instruction | Override all below |
| 2 | Project docs (CLAUDE.md, README.md) | Override conventions/defaults |
| 3 | .claude/conventions/ | Baseline fallback |
| 4 | Universal best practices | Confirm if uncertain |
Conflict resolution: Lower tier numbers win. Subdirectory docs override root docs for that subtree.
Knowledge Strategy
CLAUDE.md = navigation index (WHAT is here, WHEN to read) README.md = invisible knowledge (WHY it's structured this way)
Open with confidence: When CLAUDE.md "When to read" trigger matches your task, immediately read that file. Don't hesitate -- important context is stored there.
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 · 321 lines · 15 tokens per session scan A 5a4bb899149e
debugger is an agent published in the GitHub repository solatis/claude-config (900 stars, last pushed 5mo ago), licensed MIT. It adds 15 tokens to every session and 2,782 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.
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