cursorrules

A project rule that requires agents to use a code knowledge graph before searching files manually. The graph contains relationships such as imports, callers, dependencies, and tests.

In plain words
What is it for?
Use it to explore a project, trace callers and dependencies, review changes, find affected execution paths, understand architecture, and locate tests.
Why use it?
It gives structural context early and helps identify the likely impact of a code change. This can reduce unnecessary file scanning and make code reviews more targeted.

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/opencowai/opencow/cursorrules
Clone the repo
git clone --depth 1 https://github.com/OpenCowAI/opencow

Made for: Cursor.

Per session 422 This file is loaded in full into every session.
When invoked 422 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00422 $0.00422
Opus 5 $0.00211 $0.00211
Sonnet 5 $0.00084 $0.00084
Haiku 4.5 $0.00042 $0.00042

Measured yesterday against content hash a506e967214a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 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

Copies of this mod

3 near-identical copies found in the catalogue:

.cursorrules · 39 lines

What it actually says

MCP Tools: code-review-graph

IMPORTANT: This project has a knowledge graph. ALWAYS use the code-review-graph MCP tools BEFORE using Grep/Glob/Read to explore the codebase. The graph is faster, cheaper (fewer tokens), and gives you structural context (callers, dependents, test coverage) that file scanning cannot.

When to use graph tools FIRST

  • Exploring code: semantic_search_nodes or query_graph instead of Grep
  • Understanding impact: get_impact_radius instead of manually tracing imports
  • Code review: detect_changes + get_review_context instead of reading entire files
  • Finding relationships: query_graph with callers_of/callees_of/imports_of/tests_for
  • Architecture questions: get_architecture_overview + list_communities

Fall back to Grep/Glob/Read only when the graph doesn't cover what you need.

Key Tools

Tool Use when
detect_changes Reviewing code changes — gives risk-scored analysis
get_review_context Need source snippets for review — token-efficient
get_impact_radius Understanding blast radius of a change
get_affected_flows Finding which execution paths are impacted
query_graph Tracing callers, callees, imports, tests, dependencies
semantic_search_nodes Finding functions/classes by name or keyword
get_architecture_overview Understanding high-level codebase structure
refactor_tool Planning renames, finding dead code

Workflow

  1. The graph auto-updates on file changes (via hooks).
  2. Use detect_changes for code review.
  3. Use get_affected_flows to understand impact.
  4. Use query_graph pattern="tests_for" to check coverage.
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 · 39 lines · 422 tokens per session scan A a506e967214a

Subscribe to this mod's changes

cursorrules is a cursor rule published in the GitHub repository OpenCowAI/opencow (395 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 422 tokens to every session, about $0.0021 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 2026-08-30.