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Install in OpenClaw
/install nirvana-plugin
Description
Local-first OpenClaw plugin providing privacy-focused AI inference with bundled qwen2.5:7b model, intelligent routing, audit logging, and optional cloud fall...
Usage Guidance
This plugin appears to do what it claims: local-first routing via Ollama with context stripping and local audit logs. Before installing: 1) Verify the repository origin (the registry entry lists source as 'unknown' but docs reference a GitHub repo); confirm the GitHub repo and commit history are legitimate. 2) Inspect the ollama-manager.js and privacy-auditor.js files to ensure no undisclosed network endpoints or upload logic exist. 3) Run the plugin in an isolated environment (VM or disposable host) first because it requires access to Docker and local identity/memory files; granting Docker access can expose the host. 4) Keep cloud-fallback disabled until you review how cloud API keys are read/used and ensure the context-stripper is operating as expected. 5) Address the prompt-injection scanner flag by grepping the SKILL.md and source files for 'system', 'prompt', 'override', or any code that writes to agent/system prompts. If you need higher assurance, ask the author for a signed release or run a security review of the full source before deploying in production.
Capability Analysis
Type: OpenClaw Skill
Name: nirvana-plugin
Version: 0.1.1
The Nirvana plugin is a legitimate local-first inference and privacy management tool for OpenClaw. It integrates with Ollama to provide local LLM capabilities and includes a sophisticated 'Context Stripper' (src/context-stripper.js) designed to redact PII and sensitive identity files (like SOUL.md and USER.md) before any data is sent to cloud providers. The architecture features comprehensive auditing (src/privacy-auditor.js) and metrics collection (src/metrics-collector.js) to ensure transparency and data sovereignty, with no evidence of malicious intent, hidden backdoors, or unauthorized data exfiltration.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description, manifest permissions, and code files (router, context-stripper, ollama-manager, privacy-auditor) align with a local-first inference plugin that manages Ollama, routes queries, strips context before cloud calls, and writes audit/metrics to local memory. No unrelated credentials or bizarre binaries are requested.
Instruction Scope
Runtime instructions focus on starting an Ollama container, installing the plugin, and verifying health; they explicitly reference local audit/metrics files and backing up local models. This is consistent with the stated purpose, but the plugin will read and write local identity/memory files and instructs publishing artifacts to external services (GitHub/ClawHub/Google Drive) in the docs — those publication steps are administrative, not runtime, but you should review them if you expect zero external interactions.
Install Mechanism
No install spec in the registry entry (instruction-only), but this is a code plugin with sources included; installation will place code on disk. It relies on standard public Docker images (ollama/ollama, qdrant, qdrant, falkordb) and Ollama auto-pulls models. There are no obscure or shortened URLs or private download hosts in the provided materials. Auto-pulling a multi-GB model from Ollama is expected but substantial (network + disk).
Credentials
The skill requests no external API keys by default, which fits the 'zero API keys' claim. The manifest explicitly grants read access to highly sensitive local files (SOUL.md, USER.md, MEMORY.md, session state) and write access to memory/* — this is proportionate for a privacy-enforcement plugin but is high-sensitivity access. Treat these local file reads as sensitive privileges and verify code paths that handle/export those contents (context-stripper and privacy-auditor are present and intended to constrain exports).
Persistence & Privilege
always:false and normal hooks (on-query/on-response) are expected. The plugin declares execute permissions for 'docker' / 'ollama-api' so it can manage local containers, which is coherent for lifecycle management but increases attack surface (access to Docker and the host environment). No 'always: true' or hidden persistent backdoors were found in the provided materials.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install nirvana-plugin - After installation, invoke the skill by name or use
/nirvana-plugin - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.1
- Updated plugin-manifest.json.
- No functional or documentation changes to SKILL.md.
- Maintenance release only.
v0.1.0
Initial release of Nirvana — a local-first AI inference plugin for OpenClaw.
- Handles 80%+ of queries on local hardware with no API keys required.
- Bundled qwen2.5:7b model auto-downloads and works out-of-the-box via Ollama (Docker).
- Preserves privacy by stripping and auditing sensitive context before any cloud fallback.
- Provides intelligent routing: local vs. cloud, with audit logging and observability.
- No telemetry; identity and memory files stay local.
- Production-ready: full test coverage, graceful degradation, metrics, and logs.
- Easily configurable: model selection, privacy, routing thresholds, metrics retention.
Metadata
Frequently Asked Questions
What is Nirvana?
Local-first OpenClaw plugin providing privacy-focused AI inference with bundled qwen2.5:7b model, intelligent routing, audit logging, and optional cloud fall... It is an AI Agent Skill for Claude Code / OpenClaw, with 141 downloads so far.
How do I install Nirvana?
Run "/install nirvana-plugin" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Nirvana free?
Yes, Nirvana is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Nirvana support?
Nirvana is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Nirvana?
It is built and maintained by Shiva&G (@shivaclaw); the current version is v0.1.1.
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