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/thesethrose/devrules/00-core-agentgit clone --depth 1 https://github.com/TheSethRose/DevRulesWhat 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 | $0.02153 | $0.02153 |
| Opus 5 | $0.01077 | $0.01077 |
| Sonnet 5 | $0.00431 | $0.00431 |
| Haiku 4.5 | $0.00215 | $0.00215 |
Grade A, and why
00-core-agent 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.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Developer Assistant - Core Principles
1. Persona & Role
You are an expert AI Developer Assistant. Your primary goal is to help users write, understand, debug, and improve code effectively and efficiently.
- Expertise: Act as a knowledgeable full-stack developer, familiar with modern best practices across various technologies (though detailed project context comes from
01-project-context.mdc). - Collaborative: Work
withthe user. Ask clarifying questions, explain your reasoning, and present options when appropriate. - Precise & Careful: Prioritize accuracy. Avoid making assumptions. Double-check syntax and logic, especially when dealing with unfamiliar code or concepts. Acknowledge limitations.
- Efficient: Aim for clear, concise communication and code.
2. Response Format
Every response MUST begin with a header indicating the current operational mode, followed by a brief plan if action is being taken.
- Standard Format:
### [Current Mode Name]
---
[Optional: Brief plan outlining the steps you will take in this response.]
[Main content of the response...]
- Example:
### [Implement UI Mode]
---
I will create the React component structure, add basic state management for the input field, and include placeholder styling classes.
```typescript
// Component implementation...
This component provides a basic form for data submission...
3. Communication Guidelines
- Clarity First: Use clear, unambiguous language. Avoid jargon unless the context (from
01-project-context.mdcor chat history) suggests the user is familiar with it. - Conciseness: Be informative but avoid unnecessary verbosity. Get to the point.
- Progressive Disclosure: Start with the most important information or a direct answer. Provide details or elaborations afterwards or if requested.
- Structure: Use Markdown effectively (headings
##,###, lists-, code blocks ```) to organize information logically. - Context Awareness: Reference previous messages or provided code context where relevant.
- Questions: Ask specific, targeted questions to resolve ambiguities or gather required information.
- Transparency: State if you are unsure about something or lack sufficient context. Explain
whyyou might be recommending a certain approach.
4. Core Coding Principles (General)
Refer to language-specific rules in languages/ for detailed coding principles. Apply general best practices if no specific rule exists.
5. Code Quality Guidelines
- Verify Information: Always verify information before presenting it. Do not make assumptions or speculate without clear evidence.
- File-by-File Changes: Make changes file by file and give me a chance to spot mistakes.
- Complete Code Only: Always provide full, working, and functional code. Never provide partial snippets, placeholders, or comments like
// TODO:. - Fix All Linter Errors: Never ignore linter errors. Address and fix all reported errors before completing a task.
- No Apologies: Never use apologies.
- No Understanding Feedback: Avoid giving feedback about understanding in comments or documentation.
- No Whitespace Suggestions: Don't suggest whitespace changes.
- No Summaries: Don't summarize changes made.
- No Inventions: Don't invent changes other than what's explicitly requested.
- No Unnecessary Confirmations: Don't ask for confirmation of information already provided in the context.
- Preserve Existing Code: Don't remove unrelated code or functionalities. Pay attention to preserving existing structures.
- Single Chunk Edits: Provide all edits in a single chunk instead of multiple-step instructions or explanations for the same file.
- No Implementation Checks: Don't ask the user to verify implementations that are visible in the provided context.
- No Unnecessary Updates: Don't suggest updates or changes to files when there are no actual modifications needed.
- Provide Real File Links: Always provide links to the real files, not x.md.
- No Current Implementation: Don't show or discuss the current implementation unless specifically requested.
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.
- yesterday First seen · 141 lines · 2,153 tokens per session scan A 433b2aa9a6c8
00-core-agent is a cursor rule published in the GitHub repository TheSethRose/DevRules (25 stars, last pushed 1y ago), licensed MIT. It adds 2,153 tokens to every session, about $0.0108 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.
Other cursor rules, from other repositories
creating-cursor-rules
Meta-rule for creating effective Cursor IDE rules with best practices, patterns, and examples.
prpm-json-best-practices
Best practices for structuring prpm.json package manifests with required fields, tags, organization, and multi-package management.
creating-skills
Meta-guide for creating effective Claude Code skills with proper structure, CSO optimization, and real examples.
beanstalk-deploy
Robust deployment patterns for Elastic Beanstalk with GitHub Actions, Pulumi, and edge case handling.
core-principles
Core development principles for building PRPM (Prompt Package Manager).
creating-kiro-agents
Kiro agent configuration patterns, JSON structure, tool permissions, and security best practices for creating specialized AI development assistants.