[WIP] Build RootAI like a model airplane kit

[Copilot]

Build Kit v1 Implementation Plan

• Step 1: Repository already cloned and ready
• Step 2: Create EKG Base with ekg/fetch_cves.py for CVE fetching
• Step 3: Create Prompt Deconstructor with ekg/deconstruct.py using transformers
• Step 4: Create Reasoning Blueprint with blueprints/path_pruner.py
• Step 5: Create Core Integrator with app/rootai.py that ties everything together
• Step 6: Create Dockerfile for containerization
• Step 7: Create CLI wrapper cli.py for command-line interface
• Step 8: Create index.html for GitHub Pages UI
• Step 9: Add test cases for validation
• Step 10: Implement freemium tier limits
• Step 11: Create Discord bot integration (optional)
• Step 12: Documentation and final setup for launch
• Create requirements.txt with all dependencies
• Add .gitignore to exclude Python artifacts
• Test the complete pipeline end-to-end

Original prompt

---

This section details on the original issue you should resolve

<issue_title>Build kit v1</issue_title>
<issue_description>Build RootAI like a model airplane kit: Follow these 12 numbered steps with exact "parts" (code/files) and check-offs. Hands-on, copy-paste, test-as-you-go—total ~4-6 hours on Kali/Starlink rig.

Parts List (Prep: 10min)

• Laptop (Kali/Debian), Docker, Python 3.10+, Git.
• Accounts: GitHub, Hugging Face (free), NVD API key (cve.mitre.org).
• Folders: ~/rootai/{ekg, blueprints, app}.

Step-by-Step Build Guide

1. Clone Repo
   git clone https://github.com/yourusername/rootai.git && cd rootai (or mkdir rootai && cd rootai). ✅

2. EKG Base (Dual Grounding: 30min)
   Create ekg/fetch_cves.py:

   import requests
   API_KEY = "your-nvd-key"
   def fetch_cve(cwe_id):
       url = f"https://services.nvd.nist.gov/rest/json/cves/2.0?cweId={cwe_id}&apiKey={API_KEY}"
       return requests.get(url).json()

   Test: python ekg/fetch_cves.py → JSON output. ✅[1]

3. Prompt Deconstructor (20min)
   ekg/deconstruct.py:

   from transformers import pipeline
   deconstructor = pipeline("ner", model="dbmdz/bert-large-cased-finetuned-conll03-english")
   def deconstruct(prompt):
       entities = deconstructor(prompt)
       return {"cwe": "841", "type": "IDOR"}  # Parse to CWE
   print(deconstruct("time-warp session hijack"))

   Install: pip install transformers torch. Run/test. ✅

4. Reasoning Blueprint (30min)
   blueprints/path_pruner.py:

   def prune_paths(entities):
       valid = ["exploit", "poc"]  # Constraint rules
       return [p for p in ["eval", "poc"] if p in valid]
   print(prune_paths({"type": "IDOR"}))  # ['poc']

   Test invalid paths rejected. ✅

5. Core Integrator (40min)
   app/rootai.py:

   from ekg.deconstruct import deconstruct
   from ekg.fetch_cves import fetch_cve
   from blueprints.path_pruner import prune_paths
   
   def generate_poc(prompt):
       ents = deconstruct(prompt)
       cve_data = fetch_cve(ents["cwe"])
       paths = prune_paths(ents)
       return f"PoC for {prompt}: {cve_data['results']['cve']['descriptions']['value']}"
   
   print(generate_poc("time-warp session hijack"))

   Run: Verified output <2s. ✅

6. Dockerize (20min)
   Dockerfile:

   FROM python:3.10-slim
   RUN pip install transformers torch requests
   COPY . /app
   CMD ["python", "app/rootai.py"]
   

   docker build -t rootai . && docker run rootai ✅

7. CLI Wrapper (15min)
   cli.py:

   import argparse
   from app.rootai import generate_poc
   parser = argparse.ArgumentParser()
   parser.add_argument("prompt")
   args = parser.parse_args()
   print(generate_poc(args.prompt))

   ./cli.py "test prompt" works. ✅

8. GitHub Pages UI (30min)
   index.html (basic Streamlit alt):

   <input id="prompt" placeholder="Enter vuln prompt">
   <button onclick="run()">Generate PoC</button>
   <pre id="output"></pre>
   <script>
   async function run() { /* Call /api via fetch */ }
   </script>

   Host free GitHub Pages. ✅

9. Test High-Risk Assumption (20min)
   Run CLI on 5 real prompts (e.g., your time-warp); check latency<2s, accuracy. ✅

10. Freemium Tier (15min)
    Add if free: limit=3 queries/day in rootai.py. Stripe later. ✅

11. Discord Bot (30min)
    bot.py with discord.py: /poc <prompt>. Deploy Replit free. ✅

12. Launch & Iterate (Ongoing)
    Push GitHub, tweet OWASP, track stars/issues. MVP done! ✅

Fly it: docker run -it rootai → Generate first PoC. Tweak from feedback. Airplane built—now fly bounties.

Sources
[1] Security - Hugging Face https://huggingface.co/docs/hub/en/security
[2] root-ai-gemini.pdf https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/attachments/104285389/0d70f332-4edf-4c15-84d9-80f863cc7d9c/root-ai-gemini.pdf
[3] rootAi-ds.odt https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/attachments/104285389/a00d2512-9dda-4550-9620-2baa1a452e30/rootAi-ds.odt
[4] root-ai-diagram1.jpg https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/attachments/images/104285389/e18fa924-8552-480e-932b-fb8dc8d2fc7f/root-ai-diagram1.jpg?AWSAccessKeyId=ASIA2F3EMEYE3DURKAJI&Signature=IOWTClC8%2BQMJ7tTyLSgNQGSrF40%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEBgaCXVzLWVhc3QtMSJIMEYCIQCJjzxs08xkqwjxz7Zub2x3htg3tbvJ1w0BTrC9YbT5TAIhAK6LPnrc58jH2rEFM0MaqBUJF2lM7qTwfu%2FnF9IjVAhxKvwECOD%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEQARoMNjk5NzUzMzA5NzA1Igyfev0YBEyXeNNTUZ8q0ASd1OLxX%2BuI6hi0DVlHYX6h7mhLWsqt0Jbygm%2FdWyYLy26PdMMO%2B0ewAY3LQm0eP8gxEzNyrNNPJrnJn%2F8RVSDkVdXUrEcSw2odevFz%2Fg3yMUL6Mu2jXRe7cYyyk7b6K5GnNXK3T8w36u%2Fg90GG8MFvCJMMIvH0jMTIPD33LgIAbdjVVvyUmWhgWvvfgJbeKT%2FNPWGTgYRUOlzNXV1Tz1GCwYF%2B6R8EN07FJH6ziNTCulGKHYnChKq0s1PpI6BTdjoWxbuMtzXQpG9CPyiAyzAl1gKb6KXvA5W9ggkx%2B7nZlPwmEbqZ78NM1NQVgYlRf%2B3IeoBh0hgj1GH4yhZ%2BnTNY5%2B...

• Fixes Build kit v1 #1

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