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 skills add nirelbaz/promptpit --skill debuggit clone --depth 1 https://github.com/nirelbaz/promptpitWrote 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/nirelbaz/promptpit/debug)<a href="https://agentmods.dev/skills/nirelbaz/promptpit/debug"><img src="https://agentmods.dev/badge/skills/nirelbaz/promptpit/debug/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/nirelbaz/promptpit/debug"><img src="https://agentmods.dev/badge/skills/nirelbaz/promptpit/debug.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 | $0.00042 | $0.00350 |
| Opus 5.5 | $0.00017 | $0.00140 |
| Sonnet 5.5 | $0.00008 | $0.00070 |
| Haiku 4.5 | $0.00004 | $0.00035 |
Grade A, and why
debug 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 1mo 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.
What it actually says
Debug
Debug a problem systematically. No shotgun fixes.
Process
- Reproduce the bug. If you can't reproduce it, you can't verify the fix. Get the exact steps, input, and environment.
- Isolate the cause. Binary search through the code path. Add logging at key points. Narrow down: which function, which line, which condition?
- Understand why it happens. Don't just find the broken line. Understand the root cause. "It crashes here" is not a root cause. "This value is null because the API returns an empty body on 204 responses and we don't check for that" is a root cause.
- Fix the root cause, not the symptom. If you add a null check without understanding why it's null, you've hidden the bug, not fixed it.
- Verify the fix resolves the original reproduction steps.
- Write a regression test that would have caught this bug.
Rules
- Never fix something you can't reproduce. You're guessing.
- One fix per commit. If you found two bugs, that's two commits.
- Read the error message carefully. The answer is often right there.
- Check recent changes first:
git log --oneline -10andgit diff HEAD~5. - If the same approach fails twice, reassess your assumptions. Explain the problem from scratch. What are you taking for granted?
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.
- 1mo ago First seen · 27 lines · 42 tokens per session scan A 478fff2d4e66
debug is a skill published in the GitHub repository nirelbaz/promptpit (6 stars, last pushed 2mo ago), licensed MIT. It adds 42 tokens to every session and 350 once invoked, about $0.0002 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 2026-08-31.
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