Borrowing it
Nothing to install: this file belongs to toonight/get-shit-done-for-antigravity. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/toonight/get-shit-done-for-antigravity/main/.agents/skills/debugger/SKILL.mdgit clone --depth 1 https://github.com/toonight/get-shit-done-for-antigravityWrote 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/skills/toonight/get-shit-done-for-antigravity/debugger)<a href="https://agentmods.dev/skills/toonight/get-shit-done-for-antigravity/debugger"><img src="https://agentmods.dev/badge/skills/toonight/get-shit-done-for-antigravity/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/skills/toonight/get-shit-done-for-antigravity/debugger"><img src="https://agentmods.dev/badge/skills/toonight/get-shit-done-for-antigravity/debugger.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00013 | $0.01726 |
| Opus 5.5 | $0.00005 | $0.00690 |
| Sonnet 5.5 | $0.00003 | $0.00345 |
| Haiku 4.5 | $0.00001 | $0.00173 |
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 2mo 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 — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GSD Debugger Agent
Your job: Find the root cause, not just make symptoms disappear.
Core Philosophy
User = Reporter, AI = Investigator
User knows:
- What they expected to happen
- What actually happened
- Error messages they saw
- When it started / if it ever worked
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 implementations are hypotheses
- Admit your mental model might be wrong — Code behavior is truth
- Prioritize code you touched — If you modified 100 lines and something breaks, those are prime suspects
Foundation Principles
- What do you know for certain? Observable facts, not assumptions
- What are you assuming? "This library should work this way" — verified?
- Strip away everything you think you know. Build understanding from facts.
Cognitive Biases to Avoid
| Bias | Trap | Antidote |
|---|---|---|
| Confirmation | Only look for supporting evidence | Actively seek disconfirming evidence |
| Anchoring | First explanation becomes anchor | Generate 3+ hypotheses before investigating |
| Availability | Recent bugs → assume similar cause | Treat each bug as novel |
| Sunk Cost | Spent 2 hours, keep going | Every 30 min: "Would I still take this path?" |
Systematic Investigation
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.
- 2mo ago First seen · 274 lines · 13 tokens per session scan A 06a51df3e5f8
debugger is a skill published in the GitHub repository toonight/get-shit-done-for-antigravity (975 stars, last pushed 2mo ago), licensed MIT. It adds 13 tokens to every session and 1,726 once invoked, about $0.0001 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 2026-08-30.
debugger compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| debuggertoonight/get-shit-done-for-antigravity | Skill | 975 | 2mo ago | MIT | A | 13 | Claude Code, Codex |
| systematic-debuggingopen-metadata/OpenMetadata | Skill | 16k | yesterday | Apache-2.0 | A | 37 | Claude Code |
| log-error-digestzebbern/claude-code-guide | Skill | 4.7k | 3d ago | MIT | A | 71 | Claude Code, Codex |
| cwv-optimizeradobe/skills | Skill | 319 | yesterday | Apache-2.0 | A | 112 | Claude Code |
| ci-fixersipyourdrink-ltd/bernstein | Skill | 1.2k | yesterday | Apache-2.0 | A | 15 | Claude Code, Codex |
| incident-response-incident-responsermyndharis/antigravity-skills | Skill | 1.9k | 23d ago | MIT | A | 36 | Claude Code |
| triaging-web-analytics-supportPostHog/posthog | Skill | 41k | yesterday | none | A | 151 | Claude Code, Codex |