Borrowing it
Nothing to install: this file belongs to aiblueprinthq/ai-blueprint. 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/aiblueprinthq/ai-blueprint/main/.agents/skills/debug/SKILL.mdgit clone --depth 1 https://github.com/aiblueprinthq/ai-blueprintWrote 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/aiblueprinthq/ai-blueprint/debug)<a href="https://agentmods.dev/skills/aiblueprinthq/ai-blueprint/debug"><img src="https://agentmods.dev/badge/skills/aiblueprinthq/ai-blueprint/debug.svg" alt="Measured on agentmods" 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 | $0.00059 | $0.01331 |
| Opus 5 | $0.00030 | $0.00665 |
| Sonnet 5 | $0.00012 | $0.00266 |
| Haiku 4.5 | $0.00006 | $0.00133 |
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 3d 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
debug - find the cause before changing the code
Context reuse: Reuse any required file already loaded in project instructions or the current session. Read it again only if absent, changed, or exact current bytes or line references are needed.
First action: Before project inspection, preflight, or any other tool call,
publish running to blueprint/.state/run.json using the dashboard activity
contract in AGENTS.md.
Where this sits in the workflow:
reported failure -> [debug] -> /fix or /implement
(test, build, (reproduce, (spec a new fix, or
crash, behavior) isolate, repair active work)
explain)
/debug separates diagnosis from repair. It gathers evidence, narrows the
failure to a specific cause when possible, and stops with a useful handoff. It
does not make the code "temporarily work" while investigating.
Input
Accept a symptom, failing command, error message, or unexpected behavior. Examples:
/debug npm test fails in cart-total.test.js
/debug the upload route returns 500 for PNG files
/debug why does the production build fail?
With no useful symptom, ask for the expected behavior, actual behavior, and smallest known reproduction. Do not guess which problem the user means.
Step 1 - establish the boundary
Read the project instructions and the context relevant to the failure:
AGENTS.mdand its real commandsblueprint/context/project-overview.mdblueprint/context/coding-standards.mdblueprint/context/current-feature.md- the reported error, failing output, and affected files
- git status, diff, and recent log when a regression is possible
State the symptom and what would count as reproducing it. Note whether the failure belongs to an active feature or is an unplanned bug.
Do not treat a dirty working tree as permission to discard or rewrite anything. Use the diff as evidence and preserve it.
Step 2 - reproduce safely
Run the smallest existing command or interaction that can reproduce the symptom.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago Changed · +2 lines · -45 tokens per session 569ac42017b3
- 8d ago First seen · 150 lines · 104 tokens per session scan A a9b8cd708dba
debug is a skill published in the GitHub repository aiblueprinthq/ai-blueprint (364 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 1,331 once invoked, about $0.0003 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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