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/lineai-intelligence/lineai-mcp-serverWrote 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/lineai-intelligence/lineai-mcp-server/debugging)<a href="https://agentmods.dev/rules/lineai-intelligence/lineai-mcp-server/debugging"><img src="https://agentmods.dev/badge/rules/lineai-intelligence/lineai-mcp-server/debugging/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/rules/lineai-intelligence/lineai-mcp-server/debugging"><img src="https://agentmods.dev/badge/rules/lineai-intelligence/lineai-mcp-server/debugging.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 | $0.00000 | $0.00069 |
| Opus 5.5 | $0.00000 | $0.00028 |
| Sonnet 5.5 | $0.00000 | $0.00014 |
| Haiku 4.5 | $0.00000 | $0.00007 |
Grade A, and why
debugging 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
- Enable Debug Mode by setting
LINEAI_DEBUG_MODE=true - Use debugpy capabilities for remote debugging
- Check logs in the logs directory for detailed information
- Use proper logging levels for different types of information
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 · 9 lines · 0 tokens per session scan A 5e6e8a4c26d0
debugging is a cursor rule published in the GitHub repository lineai-intelligence/lineai-mcp-server (37 stars, last pushed 3d ago), licensed MPL-2.0. It costs nothing until one of its globs matches a file; then it loads 69 tokens. 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.
Other cursor rules, from other repositories
logging-standards
Use the Operative Control Center logging system instead of print statements.
whygraph-codegraph
Always-on guidance for using the CodeGraph (codegraph) MCP tools. Prefer them over grep for structural questions; don't pull large explore output into context; trust their AST-parsed results.
workflow-level1
Streamlined workflow for Level 1 Quick Bug Fix tasks.
codegraph
CodeGraph MCP usage guide — when to use which tool.
debugging-troubleshooting
Cursor rule "debugging-troubleshooting" from lazylagom/context-compose-mcp, covering debugging and troubleshooting guide, general debugging strategies, logging and console output, typescript type errors and mcp server debugging.
optimized-workflow-level1
Optimized Level 1 workflow for quick bug fixes with token efficiency.