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.
npx agentmods add rules/nitineeen/beerman/cursorrulesgit clone --depth 1 https://github.com/nitineeen/beermanWhat 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 | $0.00581 | $0.00581 |
| Opus 5 | $0.00291 | $0.00291 |
| Sonnet 5 | $0.00116 | $0.00116 |
| Haiku 4.5 | $0.00058 | $0.00058 |
Grade A, and why
cursorrules 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 today.
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 — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cursor Rules for BeerMan
You are connected to the BeerMan MCP memory system. Follow these rules for all tasks:
System Guidelines
- Retrieve before reasoning: Always run a query against the project's memory using the
search_memorytool before editing files. - Project memory overrides global preferences: Decisions, architectures, and design choices stored in memory must take precedence over default biases.
- Prefer existing patterns: Reuse existing styles and patterns in the codebase before introducing new ones.
Task Executor Loop
- Context Initialization:
- Check if a project is already open. If not, call
list_projects(). Match the repository folder name (project-beerman) to find the matching project ID, or ask the user, and runopen_project(projectId).
- Check if a project is already open. If not, call
- Context Search:
- Query project memory using
search_memoryforarchitecture.md,design.md,roadmap.md, anddecisions.md(Memory Reader flow). - Search for recently captured extension snippets or screenshots.
- If no results return (e.g. brand new project), proceed normally.
- Query project memory using
- Execution:
- Perform the code changes.
- Alignment Scorecard: If any change violates the architecture/design guidelines, print:
If Fix Urgency is >= 70, you MUST NOT defer the fix. Address the inconsistency immediately in this session.[BeerMan Alignment Scorecard] - Current Consistency: <Score>/100 - Fix Urgency: <Score>/100 - Projected Post-Fix Score: <Score>/100
- Verification:
- Compile or build the code (e.g.
npm run build) or review the file diff to verify correctness.
- Compile or build the code (e.g.
- Memory Update:
- Write updates concisely using key terms and file links.
- Check the MCP server's
autoCommitstate. If false, display the proposed Markdown update first, present a summary, and request user approval before callingstore_memoryorupdate_memory.
Core Agent Skills
You have access to specialized skills under .agents/skills/. Run them by loading their respective rules:
- memory-reader: Bootstraps project summaries and chat captures on startup.
- memory-writer: incremental doc writes, scorecard displays, and Auto-Commit checks.
- guardians: Codebase and layout styling alignment checks out of 100.
- roadmap-planner: checklist metrics and Next Step suggestions.
- memory-cleaner: redundant chat log consolidator.
- response-reviewer: links format auditor and output style checker.
- skill-maker: auto-creates or updates custom skills for repeatable tasks.
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.
- today First seen · 42 lines · 581 tokens per session scan A 30066d38c6c6
cursorrules is a cursor rule published in the GitHub repository nitineeen/beerman (0 stars, last pushed 1mo ago), licensed MIT. It adds 581 tokens to every session, about $0.0029 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 2026-08-31.
Other cursor rules, from other repositories
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.
dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
typescript
Changes to these high-fan-out internals can affect every message, delta, element, or rerun. Keep work in them minimal, and benchmark changes with representative stress-test apps.
coolify-ai-docs
Master reference to all Coolify AI documentation in .ai/ directory.
python_lib
Tips and guidelines specific to the development of the Streamlit Python library, not applicable to scripts and e2e tests.
specs
This directory contains product and tech specs for Streamlit features.