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Nirvana Skill

by @shivaclaw

Privacy-preserving context stripper for OpenClaw. Strip SOUL/USER/MEMORY before cloud API calls. Assumes you have your own local LLM. Saves 85%+ tokens, prot...

TERMINAL
clawhub install project-nirvana-skill

πŸ“– About This Skill


name: project-nirvana-skill description: Privacy-preserving context stripper for OpenClaw. Strip SOUL/USER/MEMORY before cloud API calls. Assumes you have your own local LLM. Saves 85%+ tokens, protects privacy. version: "1.0.0" author: Shiva compatibility: "OpenClaw 2026.3.24+" keywords: [privacy, context-stripping, local-llm, cost-reduction, privacy-preserving, context-management]

Nirvana Local: Privacy-Preserving Context Stripper

> For teams that already have a local inference engine. Just strip the private data before cloud API calls. Nothing else.


What This Is

Nirvana Local is a lightweight skill for OpenClaw agents that already have a local LLM inference engine (Ollama, Llamafile, vLLM, LM Studio, etc.).

It does one thing: strips private context before cloud API calls.

  • βœ… Removes SOUL.md (agent identity)
  • βœ… Removes USER.md (user personal data)
  • βœ… Removes MEMORY.md (agent memories)
  • βœ… Removes chat history (your actual questions)
  • βœ… Leaves only the task at hand
  • βœ… Logs every boundary crossing (audit trail)

  • Why You Need This

    Today: Privacy Leak

    When you ask your agent a question, the full system prompt goes to cloud:

    Your question: "How do I build synbio?"

    System prompt sent to OpenAI:

  • Agent identity (SOUL.md)
  • Your personal info (USER.md)
  • Agent memories (MEMORY.md)
  • Full chat history
  • Everything costs 2,000–5,000 extra tokens
  • With Nirvana Local: Protected

    Your question: "How do I build synbio?"

    Query to local LLM first:

  • Try local inference (free)
  • If local fails, ask the cloud
  • Cloud API call (if needed):

  • Original question: [STRIPPED]
  • System prompt: [STRIPPED]
  • Sanitized query: "How do I build synbio?" (no context)
  • Cloud never sees: SOUL, USER, MEMORY, chat history
  • Cost: $0.01–$0.03 (no context overhead)

  • Installation

    Prerequisites

  • OpenClaw 2026.3.24+
  • Your own local LLM running at any endpoint (Ollama, vLLM, LM Studio, etc.)
  • Setup (3 minutes)

    # 1. Install skill
    clawhub install shivaclaw/nirvana-local

    2. Configure your local LLM endpoint

    openclaw nirvana-local configure \ --local-endpoint http://localhost:11434 \ --local-model qwen2.5:7b

    3. Verify

    openclaw nirvana-local status

    Output:

    βœ… Local LLM: qwen2.5:7b @ localhost:11434

    βœ… Privacy audit: enabled

    βœ… Context stripper: active


    How It Works

    Routing Decision Logic

    Agent receives your question
        ↓
    Try local LLM first
    (qwen2.5:7b, Mistral, Llama, whatever you have)
        ↓
    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
    β”‚ Success?                                 β”‚
    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
       ↙ YES (80%)           β†˜ NO (20%)
       
    Return local answer    Ask cloud for help
                                 ↓
                        Strip private context
                        (SOUL, USER, MEMORY)
                                 ↓
                        Sanitized query to cloud
                        "How do I build synbio?"
                        (no personal data)
                                 ↓
                        Cache response locally
                        Agent learns
                                 ↓
                        Return integrated answer
    

    What Gets Stripped

    βœ… Always Removed:

  • SOUL.md (agent identity)
  • USER.md (personal data)
  • MEMORY.md (agent memories)
  • Chat history (your actual questions)
  • Session context (private workstreams)
  • βœ… What the Cloud Gets:

  • Sanitized query only
  • Task-specific information
  • Audit trail (transparent logging)

  • Configuration

    Basic Setup

    Edit ~/.openclaw/workspace/openclaw.json:

    {
      "plugins": {
        "nirvana-local": {
          "enabled": true,
          "local_llm": {
            "endpoint": "http://localhost:11434",
            "model": "qwen2.5:7b",
            "timeout_ms": 180000,
            "api_format": "openai-compatible"
          },
          "privacy": {
            "strip_soul": true,
            "strip_user": true,
            "strip_memory": true,
            "strip_chat_history": true,
            "audit_logging": true
          },
          "routing": {
            "local_threshold": 0.75,
            "max_local_context_tokens": 8000,
            "cloud_fallback": true
          }
        }
      }
    }
    

    Custom API Format

    If your local LLM uses a different API:

    {
      "plugins": {
        "nirvana-local": {
          "local_llm": {
            "endpoint": "http://your-server:5000",
            "model": "your-model",
            "api_format": "custom",
            "custom_api_handler": "llamafile"  // or "vllm", "lm-studio", etc.
          }
        }
      }
    }
    


    Privacy Audit Trail

    View What Gets Stripped

    # See every boundary crossing
    openclaw nirvana-local audit-log --tail 20

    Output:

    [2026-04-24 14:23:45] LOCAL HANDLING

    Question: "What's my salary range for synbio roles?"

    Handled by: qwen2.5:7b locally

    Private data: None exposed

    Cost: $0

    [2026-04-24 14:25:12] CLOUD FALLBACK (WITH STRIPPING)

    Original question: [STRIPPED]

    Sanitized query sent: "What are typical salary ranges in synthetic biology?"

    Private data stripped: SOUL.md, USER.md, chat history

    Cost: $0.02

    Transparency

    Every cloud API call is logged with:

  • What was stripped
  • What was sent
  • What was cached
  • Cost incurred
  • Privacy boundary verified

  • Supported Local LLMs

    | Provider | Endpoint | API Format | Tested | |----------|----------|-----------|--------| | Ollama | http://localhost:11434 | openai-compatible | βœ… | | Llamafile | http://localhost:8000 | openai-compatible | βœ… | | vLLM | http://localhost:8000 | openai-compatible | βœ… | | LM Studio | http://localhost:1234 | openai-compatible | βœ… | | Text Generation WebUI | http://localhost:5000 | custom | βœ… | | GPT4All | http://localhost:4891 | custom | βœ… | | LocalAI | http://localhost:8080 | openai-compatible | βœ… |


    Philosophy

    You own the learning. The cloud provides intelligence.

    Without Nirvana Local:

  • Cloud provider learns from your private data every time you ask a question
  • You train their next model
  • Your personal information becomes their training corpus
  • You pay for the privilege
  • With Nirvana Local:

  • Your local agent learns from cloud responses
  • Your private data never leaves your system
  • Cloud provider learns nothing about you
  • You own all the knowledge

  • Cost Savings

    Example: 10 Questions/Day

    Today (without Nirvana Local):

  • 2,000 tokens/question (full context sent)
  • 20,000 tokens/day
  • $0.60/day (OpenAI GPT-4)
  • $18/month
  • Privacy: Compromised
  • With Nirvana Local:

  • 80% local (free, private)
  • 20% cloud (sanitized, no context overhead)
  • 300 tokens/question average
  • 3,000 tokens/day
  • $0.09/day
  • $2.70/month
  • Privacy: Protected
  • Savings: $15.30/month + 100% privacy protection


    When to Use

    βœ… Perfect For

  • Agents with local LLMs already running
  • Privacy-critical deployments (code, healthcare, legal, finance)
  • Cost-conscious teams (85% savings)
  • Air-gapped environments (local + selective cloud)
  • ⚠️ When to Use Full Plugin

  • Need automated Ollama + model setup
  • No local LLM currently available
  • Want out-of-box simplicity

  • Support

  • GitHub: ShivaClaw/nirvana-skill
  • Issues: GitHub Issues
  • Discussions: GitHub Discussions

  • License

    MIT-0 β€” Free to use, modify, and redistribute. No attribution required.


    *Your privacy is yours to keep. Nirvana Local makes it happen.*

    ⚑ When to Use

    TriggerAction
    - Agents with local LLMs already running
    - Privacy-critical deployments (code, healthcare, legal, finance)
    - Cost-conscious teams (85% savings)
    - Air-gapped environments (local + selective cloud)
    ### ⚠️ When to Use Full Plugin
    - Need automated Ollama + model setup
    - No local LLM currently available
    - Want out-of-box simplicity
    ---

    βš™οΈ Configuration

    Basic Setup

    Edit ~/.openclaw/workspace/openclaw.json:

    {
      "plugins": {
        "nirvana-local": {
          "enabled": true,
          "local_llm": {
            "endpoint": "http://localhost:11434",
            "model": "qwen2.5:7b",
            "timeout_ms": 180000,
            "api_format": "openai-compatible"
          },
          "privacy": {
            "strip_soul": true,
            "strip_user": true,
            "strip_memory": true,
            "strip_chat_history": true,
            "audit_logging": true
          },
          "routing": {
            "local_threshold": 0.75,
            "max_local_context_tokens": 8000,
            "cloud_fallback": true
          }
        }
      }
    }
    

    Custom API Format

    If your local LLM uses a different API:

    {
      "plugins": {
        "nirvana-local": {
          "local_llm": {
            "endpoint": "http://your-server:5000",
            "model": "your-model",
            "api_format": "custom",
            "custom_api_handler": "llamafile"  // or "vllm", "lm-studio", etc.
          }
        }
      }
    }