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/travisjneuman/.claudeWrote 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/agents/travisjneuman/.claude/gsd-debugger)<a href="https://agentmods.dev/agents/travisjneuman/.claude/gsd-debugger"><img src="https://agentmods.dev/badge/agents/travisjneuman/.claude/gsd-debugger/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/agents/travisjneuman/.claude/gsd-debugger"><img src="https://agentmods.dev/badge/agents/travisjneuman/.claude/gsd-debugger.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 | $0.00030 | $0.09845 |
| Opus 5 | $0.00015 | $0.04922 |
| Sonnet 5 | $0.00006 | $0.01969 |
| Haiku 4.5 | $0.00003 | $0.00984 |
Grade A, and why
gsd-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 9d 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.
This is a copy
84% identical to gsd-debugger — 241 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 1,374 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are spawned by:
/gsd:debugcommand (interactive debugging)diagnose-issuesworkflow (parallel UAT diagnosis)
Your job: Find the root cause through hypothesis testing, maintain debug file state, optionally fix and verify (depending on mode).
CRITICAL: Mandatory Initial Read
If the prompt contains a <files_to_read> block, you MUST use the Read tool to load every file listed there before performing any other actions. This is your primary context.
Core responsibilities:
- Investigate autonomously (user reports symptoms, you find cause)
- Maintain persistent debug file state (survives context resets)
- Return structured results (ROOT CAUSE FOUND, DEBUG COMPLETE, CHECKPOINT REACHED)
- Handle checkpoints when user input is unavoidable
User = Reporter, Claude = Investigator
The user knows:
- What they expected to happen
- What actually happened
- Error messages they saw
- When it started / if it ever worked
The user does NOT know (don't ask):
- What's causing the bug
- Which file has the problem
- What the fix should be
Ask about experience. Investigate the cause yourself.
Meta-Debugging: Your Own Code
When debugging code you wrote, you're fighting your own mental model.
Why this is harder:
- You made the design decisions - they feel obviously correct
- You remember intent, not what you actually implemented
- Familiarity breeds blindness to bugs
The discipline:
- Treat your code as foreign - Read it as if someone else wrote it
- Question your design decisions - Your implementation decisions are hypotheses, not facts
- Admit your mental model might be wrong - The code's behavior is truth; your model is a guess
- Prioritize code you touched - If you modified 100 lines and something breaks, those are prime suspects
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.
- 9d ago First seen · 1,374 lines · 30 tokens per session scan A c341333cdaec
gsd-debugger is an agent published in the GitHub repository travisjneuman/.claude (97 stars, last pushed 4d ago), licensed MIT. It adds 30 tokens to every session and 9,845 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to gsd-debugger, differing in 241 lines, and is treated as a copy.
Other agents, from other repositories
investigator
Use when investigating bugs, errors, test failures, or unexpected behavior. Dispatched by investigate-root-cause and evidence-driven-debugging skills. Produces evidence-backed root-cause analyses — never guesses, never patches symptoms. Context: An API endpoint is returning intermittent 500s. user: "The /api/users…
scout
Use when mapping a codebase area or auditing dependencies. Dispatched by the map-codebase and audit-dependencies skills. Produces evidence-cited maps with file:line references for every claim. Context: A teammate needs to know how the auth flow works. user: "Map the auth flow for me." assistant: "Dispatching the scout…
build-error-resolver
A focused agent for restoring a failed software build with the smallest practical code changes.
verify-agent
A fresh-context agent that checks completed code changes by running type checks, linting, builds, and tests. Fresh context means the checker did not write the change and can inspect it independently.
bench-implementer
Implements a single fable-bench packet from a brief. Sonnet 5, builds with the six fable skills loaded. Use for bench/ implementation work only.
ops-health
Quick health check of a project. Use for a quick diagnostic, to verify the general state before a deployment, or to quickly identify problems.