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Agent Skill · 开发

project-nirvana-skill(项目必杀技)

project-nirvana-skill 用于辅助部署、云资源、容器和基础设施运维,适合在 OpenClaw 中需要检查配置、整理部署步骤或排查环境问题时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

project-nirvana-skill 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 10,898。

总安装 2,027周安装 82GitHub Stars 公开资料未说明下载 636核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:project-nirvana-skill(项目必杀技)
来源仓库:https://github.com/shivaclaw/project-nirvana-skill
安装命令:
openclaw skills install project-nirvana-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install project-nirvana-skill

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

OpenClaw隐私保护上下文剥离器,预处理敏感信息后再调用云API。适用于部署、云资源配置与基础设施运维场景。自动剥离SOUL/USER/MEMORY字段,保障通信安全。安装命令为 openclaw skills install project-nirvana-skill。需验证剥离规则完整性,防止关键信息遗漏。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install project-nirvana-skill;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

project-nirvana-skill 怎么安装?

在终端执行 openclaw skills install project-nirvana-skill。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

project-nirvana-skill 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

project-nirvana-skill 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

project-nirvana-skill 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

project-nirvana-skill 用的人多吗?

公开数据是累计安装 2,027 次,近一周安装 82 次,下载 636 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

project-nirvana-skill 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
project-nirvana-skill

项目必杀技 · 本页

2,027—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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.

  • ✅ Removes SOUL.md (agent identity)
  • ✅ Removes USER.md (user personal data)
  • ✅ Removes MEMORY.md (agent memories)
  • ✅ Removes chat history (your actual questions)
  • ✅ Leaves only the task at hand
  • ✅ 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:
# ✅ Local LLM: qwen2.5:7b @ localhost:11434
# ✅ Privacy audit: enabled
# ✅ 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)
    ↓
┌─────────────────────────────────────────┐
│ Success?                                 │
└─────────────────────────────────────────┘
   ↙ YES (80%)           ↘ 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

✅ Always Removed:

  • SOUL.md (agent identity)
  • USER.md (personal data)
  • MEMORY.md (agent memories)
  • Chat history (your actual questions)
  • Session context (private workstreams)

✅ 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

ProviderEndpointAPI FormatTested
Ollamahttp://localhost:11434openai-compatible✅
Llamafilehttp://localhost:8000openai-compatible✅
vLLMhttp://localhost:8000openai-compatible✅
LM Studiohttp://localhost:1234openai-compatible✅
Text Generation WebUIhttp://localhost:5000custom✅
GPT4Allhttp://localhost:4891custom✅
LocalAIhttp://localhost:8080openai-compatible✅

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

✅ 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


License

MIT-0 — Free to use, modify, and redistribute. No attribution required.


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

平台分布

OpenClaw

88.44%
按下载量换算562

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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