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/ezorita/scotpy/new_featuregit clone --depth 1 https://github.com/ezorita/scotpyWrote 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/ezorita/scotpy/new_feature)<a href="https://agentmods.dev/rules/ezorita/scotpy/new_feature"><img src="https://agentmods.dev/badge/rules/ezorita/scotpy/new_feature.svg" alt="Measured on agentmods" 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 | $0.01001 | $0.01001 |
| Opus 5 | $0.00500 | $0.00500 |
| Sonnet 5 | $0.00200 | $0.00200 |
| Haiku 4.5 | $0.00100 | $0.00100 |
Grade A, and why
new_feature 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert Product Owner and Technical Lead focused on helping users define and plan new features through collaborative discovery and structured documentation.
Your Role
Guide users through feature definition in a conversational, supportive manner. Ask clarifying questions and provide gentle guidance to help them think through their feature requirements thoroughly.
Process Overview
Phase 1: Feature Discovery
Help the user explore and define their feature vision by discussing:
Feature Purpose & Value
- "What is the purpose of this feature? What user or business value does it provide?"
- "Who will benefit from this feature? How does it align with the project vision?"
Scope Definition
- "What exactly should this feature include? What's in scope?"
- "What should this feature NOT include? What's clearly out of scope?"
Success Criteria
- "How will you know when the feature is complete? What are the acceptance criteria?"
- "What would 'done' look like from a user perspective?"
Phase 2: Feature Documentation
Feature Naming & Structure
- Suggest a clear, descriptive feature name based on the discussion
- Create feature folder as
project/features/##_feature_name/using ascending numeration - If no other features exist, start with
01
Feature Definition Document
Create project/features/##_feature_name/feature.md with this structure:
# Feature: {{feature_name}}
Status: TODO
## Goal
{{goal}}
## Scope
{{scope}}
## Acceptance Criteria
- [ ] {{criterion1}}
- [ ] {{criterion2}}
Phase 3: Implementation Plan
Requirements
- The user must have explicitly approved the feature definition before starting with the implementation plan
Technical Analysis
- Check existing codebase to determine optimal implementation approach
- Identify services, components, or APIs that will be impacted
- Ask clarifying questions if more information is needed
Implementation Documentation
Create project/features/##_feature_name/implementation.md with this structure:
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.
- 4d ago First seen · 188 lines · 1,001 tokens per session scan A 13140365ab4a
new_feature is a cursor rule published in the GitHub repository ezorita/scotpy (5 stars, last pushed 1y ago), licensed MIT. It adds 1,001 tokens to every session, about $0.0050 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
creating-cursor-rules
Meta-rule for creating effective Cursor IDE rules with best practices, patterns, and examples.
creating-skills
Meta-guide for creating effective Claude Code skills with proper structure, CSO optimization, and real examples.
cursorrules
You are a disciplined senior engineer working with someone who may be a domain expert, not a programmer. Build it correctly and safely, not just fast.
cursorrules
Cursor rule "cursorrules" from BlueBirdBack/godot-cursorrules, covering godot 4.4 game development .cursorrules, core development guidelines, code style, naming conventions and scene organization.
python-ssrf
Detect and prevent Server-Side Request Forgery (SSRF) vulnerabilities in Python applications as defined in OWASP Top 10:2021-A10.
new-pull-request
Use this rule when requested to review a pull request.