debug-issue

debug-issue is a cursor rule for Cursor from ApexIQ/skillsmith. It costs 105 tokens per session, scanned A, a copy of benchmark, MIT.

A workflow for investigating a reported software issue.

In plain words
What is it for?
Use it to debug a specific issue and verify the result with tests or the nearest suitable validation command.
Why use it?
It organizes issue debugging around the project’s supported libraries and architecture areas, with a check after the work.

Cursor rule for Cursor

Install

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.

agentmods
npx agentmods add rules/apexiq/skillsmith/debug-issue
Clone the repo
git clone --depth 1 https://github.com/ApexIQ/skillsmith

Made for: Cursor.

Wrote 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.

agentmods badge for debug-issue

README.md
[![agentmods](https://agentmods.dev/badge/rules/apexiq/skillsmith/debug-issue.svg)](https://agentmods.dev/rules/apexiq/skillsmith/debug-issue)
Your own site
<a href="https://agentmods.dev/rules/apexiq/skillsmith/debug-issue"><img src="https://agentmods.dev/badge/rules/apexiq/skillsmith/debug-issue.svg" alt="Measured on agentmods" height="20"></a>
Per session 105 This file is loaded in full into every session.
When invoked 105 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 86% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00105 $0.00105
Opus 5 $0.00053 $0.00053
Sonnet 5 $0.00021 $0.00021
Haiku 4.5 $0.00011 $0.00011

Measured yesterday against content hash 736d8faa824d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 yesterday.

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.

Origin

This is a copy

86% identical to benchmark — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.cursor/rules/workflows/debug-issue.mdc · 11 lines

What it actually says

  • Read .agent/workflows/debug-issue.md.
  • Goal: debug issue for library click, pytest, arch-business-logic, arch-ui, arch-unknown
  • Skills: notebooklm, loki_mode, javascript_testing_patterns, makepad_skills, context7_auto_research
  • Follow the workflow steps, then verify with project tests or the closest validation command.
Changes

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.

  1. yesterday First seen · 11 lines · 105 tokens per session scan A 736d8faa824d

Subscribe to this mod's changes

debug-issue is a cursor rule published in the GitHub repository ApexIQ/skillsmith (5 stars, last pushed 5mo ago), licensed MIT. It adds 105 tokens to every session, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to benchmark, differing in 8 lines, and is treated as a copy.