Borrowing it
Nothing to install: this file belongs to jeetkhinde/ai-stack. 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/jeetkhinde/ai-stack/master/.gemini/skills/debug-issue/SKILL.mdgit clone --depth 1 https://github.com/jeetkhinde/ai-stackWrote 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/jeetkhinde/ai-stack/debug-issue)<a href="https://agentmods.dev/skills/jeetkhinde/ai-stack/debug-issue"><img src="https://agentmods.dev/badge/skills/jeetkhinde/ai-stack/debug-issue/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/jeetkhinde/ai-stack/debug-issue"><img src="https://agentmods.dev/badge/skills/jeetkhinde/ai-stack/debug-issue.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 | $0.00013 | $0.00244 |
| Opus 5.5 | $0.00005 | $0.00098 |
| Sonnet 5.5 | $0.00003 | $0.00049 |
| Haiku 4.5 | $0.00001 | $0.00024 |
Grade A, and why
debug-issue 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 14d 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 Issue
Use the knowledge graph to systematically trace and debug issues.
Steps
- Use
semantic_search_nodesto find code related to the issue. - Use
query_graphwithcallers_ofandcallees_ofto trace call chains. - Use
get_flowto see full execution paths through suspected areas. - Run
detect_changesto check if recent changes caused the issue. - Use
get_impact_radiuson suspected files to see what else is affected.
Tips
- Check both callers and callees to understand the full context.
- Look at affected flows to find the entry point that triggers the bug.
- Recent changes are the most common source of new issues.
Token Efficiency Rules
- ALWAYS start with
get_minimal_context(task="<your task>")before any other graph tool. - Use
detail_level="minimal"on all calls. Only escalate to "standard" when minimal is insufficient. - Target: complete any review/debug/refactor task in ≤5 tool calls and ≤800 total output tokens.
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.
- 14d ago First seen · 28 lines · 13 tokens per session scan A 2fda708e2e60
debug-issue is a skill published in the GitHub repository jeetkhinde/ai-stack (0 stars, last pushed 20d ago), licensed MIT. It adds 13 tokens to every session and 244 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 2026-10-02.
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