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.
git clone --depth 1 https://github.com/ahmadulhoq/agentskelWrote 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/rules/ahmadulhoq/agentskel/debug-issue)<a href="https://agentmods.dev/rules/ahmadulhoq/agentskel/debug-issue"><img src="https://agentmods.dev/badge/rules/ahmadulhoq/agentskel/debug-issue.svg" alt="Measured on agentmods" 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 | $0.00040 | $0.00065 |
| Opus 5 | $0.00020 | $0.00032 |
| Sonnet 5 | $0.00008 | $0.00013 |
| Haiku 4.5 | $0.00004 | $0.00006 |
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 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.
What it actually says
Read and follow the full workflow at .agents/workflows/debug-issue.md.
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 First seen · 7 lines · 40 tokens per session scan A ce2da22dc260
debug-issue is a cursor rule published in the GitHub repository ahmadulhoq/agentskel (13 stars, last pushed 20d ago), licensed MIT. It adds 40 tokens to every session and 65 once invoked, about $0.0002 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 2026-09-03.
Other cursor rules, from other repositories
fix-bug
Bug fix orchestrator — activeflow fixbug; reads specs/bugs/BUG-.md; chains investigate-bug, develop-tdd, validate-fix. Use when user reports a defect.
investigate-bug
Investigate a bug or issue by exploring the codebase to find root cause, then write a TDD-based fix plan to specs/bugs/BUG-.md. Use when user reports a bug, wants to investigate a problem, mentions "triage", or wants to plan a fix.
bug-fix-tdd-guard
A rule for fixing software bugs with test-driven development, or TDD: first reproduce the bug, then write a test that fails, then make the smallest code change that passes it, and finally run the full checks.
superpowers
Superpowers - A complete software development workflow with TDD, systematic debugging, and structured planning.
bug-fix
Light skill: TDD pipeline for bug fixes. Regression test first, then fix. Can auto-invoke when the user reports a bug, describes unexpected behavior, or asks to fix an issue.
ponytail
Ponytail, lazy senior dev mode. Always pick the simplest solution that works.