create-rule

create-rule is a skill for Claude Code, Codex from kensaurus/cursor-kenji. It costs 60 tokens per session (992 once invoked), scanned A, original, MIT.

A guide for creating Cursor rules: persistent instructions that give an AI agent project standards and file-specific guidance.

In plain words
What is it for?
Use it to create rules for project practices, coding standards, or selected file types.
Why use it?
It helps keep the agent consistent with existing coding conventions and prevents duplicate or conflicting instructions.

Skill for Claude CodeCodex

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 skills/kensaurus/cursor-kenji/create-rule
Any agent
npx skills add kensaurus/cursor-kenji --skill create-rule
Clone the repo
git clone --depth 1 https://github.com/kensaurus/cursor-kenji

Made for: Claude Code, Codex.

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 create-rule

README.md
[![agentmods](https://agentmods.dev/badge/skills/kensaurus/cursor-kenji/create-rule.svg)](https://agentmods.dev/skills/kensaurus/cursor-kenji/create-rule)
Your own site
<a href="https://agentmods.dev/skills/kensaurus/cursor-kenji/create-rule"><img src="https://agentmods.dev/badge/skills/kensaurus/cursor-kenji/create-rule.svg" alt="Measured on agentmods" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 992 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00060 $0.00992
Opus 5 $0.00030 $0.00496
Sonnet 5 $0.00012 $0.00198
Haiku 4.5 $0.00006 $0.00099

Measured yesterday against content hash 00150ae4d7d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

create-rule 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.

skills-cursor/create-rule/SKILL.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Creating Cursor Rules

Create project rules in .cursor/rules/ to provide persistent context for the AI agent.

CRITICAL: Check Existing First

Before creating ANY rule, verify:

  1. Check for existing rules:
ls -la .cursor/rules/*.mdc 2>/dev/null
cat .cursor/rules/*.mdc 2>/dev/null | head -100
  1. Check for conflicting conventions:
cat CONTRIBUTING.md .editorconfig .eslintrc* 2>/dev/null | head -50
  1. Check if similar rule exists:
  • Don't duplicate existing rules
  • Consider extending existing rules instead

Why: Rules should complement, not conflict with, existing project conventions.

Gather Requirements

Before creating a rule, determine:

  1. Purpose: What should this rule enforce or teach?
  2. Scope: Should it always apply, or only for specific files?
  3. File patterns: If file-specific, which glob patterns?

Inferring from Context

If you have previous conversation context, infer rules from what was discussed. You can create multiple rules if the conversation covers distinct topics or patterns. Don't ask redundant questions if the context already provides the answers.

Required Questions

If the user hasn't specified scope, ask:

  • "Should this rule always apply, or only when working with specific files?"

If they mentioned specific files and haven't provided concrete patterns, ask:

  • "Which file patterns should this rule apply to?" (e.g., **/*.ts, backend/**/*.py)

It's very important that we get clarity on the file patterns.

Use the AskQuestion tool when available to gather this efficiently.


Rule File Format

Rules are .mdc files in .cursor/rules/ with YAML frontmatter:

.cursor/rules/
  typescript-standards.mdc
  react-patterns.mdc
  api-conventions.mdc

File Structure

---
description: Brief description of what this rule does
globs: **/*.ts  # File pattern for file-specific rules
alwaysApply: false  # Set to true if rule should always apply
---

# Rule Title

Your rule content here...

Read the full file on GitHub · 183 lines

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 · 183 lines · 60 tokens per session scan A 00150ae4d7d0

Subscribe to this mod's changes

create-rule is a skill published in the GitHub repository kensaurus/cursor-kenji (9 stars, last pushed 7d ago), licensed MIT. It adds 60 tokens to every session and 992 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

comprehensive-enrichment

Enrich any person or company from any identifier — email, name, LinkedIn URL, domain, company name, Twitter/X handle. Use when asked to enrich, look up, or research a lead, contact, person, or company.

gooseworks-ai/goose-skills · 53 tokens

paid-channel-prioritizer

For founders who don't know where to start with paid ads. Analyzes ICP, competitor ad presence, budget constraints, and product type to recommend which 1-2 paid channels to start with and provides a 90-day ramp plan. Prevents the common mistake of spreading a small budget across too many platforms.

gooseworks-ai/goose-skills · 70 tokens

data-charts-tako

Search and visualize the world's data - get charts, insights, and embeddable knowledge cards for finance, economics, demographics, sports, and more.

gooseworks-ai/goose-skills · 35 tokens

lead-discovery

Orchestrator that runs first for lead generation requests. Gathers business context via website analysis or questions, identifies competitors, builds ICP, and routes to signal skills with pre-filled inputs.

gooseworks-ai/goose-skills · 41 tokens

render-cosmic-mythology-voiceover

Assemble a cosmic-mythology-voiceover reel from a config — a warm spoken voiceover carries the whole narrative while N curated cosmic stills are weighted beat-synced across the delivered VO duration (cutdur = VOdur times weight over the weight sum, so emotional beats hold longer), Ken-Burns-zoomed per still (scale 2x…

gooseworks-ai/goose-skills · 223 tokens

review-scraper

Scrape product reviews from G2, Capterra, and Trustpilot using Apify. Single script with platform dispatch. Use when you need to monitor competitor reviews, track product sentiment, or gather customer feedback from review sites.

gooseworks-ai/goose-skills · 51 tokens