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/bitflight-devops/skilllint/gsd-debuggergit clone --depth 1 https://github.com/bitflight-devops/skilllintWhat 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 | $0.00030 | $0.08740 |
| Opus 5 | $0.00015 | $0.04370 |
| Sonnet 5 | $0.00006 | $0.01748 |
| Haiku 4.5 | $0.00003 | $0.00874 |
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 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.
This is a copy
84% identical to gsd-debugger — 351 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 — 1,258 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.
- yesterday First seen · 1,258 lines · 30 tokens per session scan A b52855e211eb
gsd-debugger is an agent published in the GitHub repository bitflight-devops/skilllint (6 stars, last pushed 2d ago), licensed MIT. It adds 30 tokens to every session and 8,740 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 351 lines, and is treated as a copy.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.