rcf-cli 1.2.8

A command-line tool for RCF protocol compliance verification.

RCF Protocol — Python CLI & SDK

The official Python Command Line Interface for the RCF (Restricted Correlation Framework) Protocol.

RCF is an author-defined licensing protocol designed to protect intellectual property in the age of automated extraction and AI/ML mass replication. It creates a clear legal and technical boundary between Visibility and Usage Rights.

Installation

Install via PyPI:

pip install rcf-cli

Features

• Project Initialization: Instantly generate NOTICE.md and .rcfignore files to protect your project.
• Automated Scanning: Quickly scan projects for RCF compliance and extract markers.
• Header Validation: Ensure files have the required NOTICE: This file is protected under RCF-PL v1.1 header.
• RCF-Audit (Premium): Generate cryptographically signed compliance reports for enterprise auditing.
• Integrity Verification: Compare current file hashes against an audit report to detect unauthorized modifications or tampering.

CLI Usage

1. Initialize RCF in your project

Run this in your project's root directory to generate the legal notice:

rcf-cli init --project "My awesome app" --author "John Doe"

2. Scan your project

# Scan the current directory
rcf-cli .

# Output scan results as JSON
rcf-cli . --format json

# Print summary only
rcf-cli . --summary

### 3. Generate an RCF-Audit Report (Premium)

```bash
# Provide license key via flag
rcf-cli audit . --license-key RCF-AUDIT-XXXX-XXXX

# Or use environment variable
export RCF_LICENSE_KEY=RCF-AUDIT-XXXX-XXXX
rcf-cli audit .

4. Verify Project Integrity

Compare current files with the latest audit report:

rcf-cli verify .

# Show summary only
rcf-cli verify . --summary

## Markers Reference

RCF uses semantic markers to define protection levels at the block or file level. Place these inside code comments:
- `[RCF:PUBLIC]` — Architecture and public concepts. Safe to discuss.
- `[RCF:PROTECTED]` — Core methodology. Visible but **not replicable**.
- `[RCF:RESTRICTED]` — Highly sensitive implementation. Minimal rights.
- `[RCF:NOTICE]` — Triggers requirement for adjacent legal notice.

Example header for protected files:
```python
# NOTICE: This file is protected under RCF-PL v1.1
# [RCF:PROTECTED]

Documentation

For full specification and legal framework details, visit the official site: rcf.aliyev.site