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germanicgermanic 搜索

Agent Skill

germanic 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

总安装

9,718

周安装

409

GitHub Stars

1

下载量

3,403
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:germanic(germanic 搜索)
来源仓库:https://github.com/porco-rs/germanic
安装命令:
openclaw skills install germanic
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 germanic

简介

用于验证 JSON 数据是否符合预定义架构,并编译为二进制 .grm 文件。

  • 捕获缺失字段与类型错误,提升 AI Agent 数据交换的可靠性。
  • 输出包含错误详情与修正建议的验证报告,适用于系统集成阶段。
  • 架构定义需提前维护,变更后应及时同步至相关服务。
  • 处理敏感数据时请启用加密选项,防止中间文件泄露信息。

SKILL.md

name
germanic
description
>
version
0.2.3
homepage
https://github.com/germanicdev/germanic
metadata
{"openclaw":{"emoji":"🔒","requires":{"bins":["germanic"]},"install":[{"id":"brew-install","kind":"brew","formula":"germanicdev/germanic/germanic","bins":["germanic"],"label":"Install GERMANIC CLI (Homebrew)"}]}}

GERMANIC

Compile JSON to validated binary. Schema contract enforced at build time.

Install

brew tap germanicdev/germanic && brew install germanic

Verify: germanic --version should print 0.2.3.

Alternative (from source): cargo install germanic

Workspace

GERMANIC operates relative to the current working directory. All paths in this document are relative to the workspace root.

# Find available schemas
find . -name "*.schema.json" -type f

# Find example data
find . -name "*.json" -path "*/examples/*" -type f

When to Use

Use GERMANIC when you need to:

  • Produce structured data for AI consumption (typed, validated, binary)
  • Validate JSON against a schema (catches missing fields, wrong types, empty strings)
  • Convert JSON to .grm (zero-copy binary, immune to structural injection)

Do NOT use GERMANIC for:

  • Free-text content (articles, blog posts, prose)
  • Data that changes schema frequently (use JSON directly)
  • Streaming data (GERMANIC is batch-oriented)

Decision Tree

"I have JSON data" →
  Known built-in schema? → germanic compile --schema practice --input data.json
  Not built-in? → Check workspace schemas first:
    find . -name "*.schema.json" 2>/dev/null | grep -i <domain>
    Found? → germanic compile --schema <path-to-schema> --input data.json
  No schema exists? → germanic init --from data.json --schema-id <id>
    → edit .schema.json (mark required fields) → germanic compile
  Just inspect a .grm? → germanic inspect <file.grm>
  Validate without compiling? → germanic validate <file.grm>

Three Workflows

1. Static Compile (Built-in Schema)

germanic compile --schema practice --input data.json --output data.grm

Available schemas: practice (healthcare). More coming.

2. Dynamic Compile (Custom Schema)

# Step 1: Infer schema from example
germanic init --from example.json --schema-id com.example.product.v1

# Step 2: Edit the generated .schema.json — mark required fields

# Step 3: Compile
germanic compile --schema product.schema.json --input data.json

Accepts both GERMANIC .schema.json and JSON Schema Draft 7 files. Auto-detected transparently.

3. Inspect & Validate

# Inspect .grm header (schema-id, signature, sizes)
germanic inspect output.grm

# Validate .grm structural integrity
germanic validate output.grm

Error Handling

GERMANIC validates data and reports errors with field paths and descriptions. Dynamic schemas collect multiple errors in a single pass. Example output:

Error: Required fields missing:
  name: required field is empty string
  telefon: required field missing
  adresse.strasse: required field missing
  notaufnahme.rund_um_die_uhr: expected bool, found string

When you see errors:

  1. Read each violation — it tells you the field path and what's wrong
  2. Fix the JSON data (do NOT remove required fields from the schema)
  3. Re-run compile

Do NOT try to "fix" the schema to match broken data. If the schema says telefon is required, it's required for a reason.

File Not Found

If a file path fails, search before giving up:

find . -name '<filename>' 2>/dev/null

Common locations:

  • Schemas: data/schemas/de/ and data/schemas/en/
  • Examples: data/examples/de/ and data/examples/en/
  • Compiled: same directory as input, with .grm extension

Schema Fields Are German

Yes, the schema fields are in German. strasse not street, plz not zip_code. This is intentional — *Deutsche Gründlichkeit als Feature, nicht als Bug.* The English translations are available under en.* schema IDs.

Security

GERMANIC provides three layers of data safety:

  1. Structural validation: Required fields, type checking, nested validation
  2. Binary format: No HTML tags, no script blocks, no JSON-LD @context hijacking
  3. Compile-or-reject: Invalid data cannot become a .grm file

Note: Binary format prevents *structural* injection. Content inside valid string fields is stored as-is. The consumer must treat typed fields as data, not instructions.

Trust & Safety

GERMANIC is fully offline. Zero network calls, zero environment variables, zero external dependencies at runtime. The binary reads JSON from stdin or file, writes .grm to disk. Nothing else.

Verified by security audit (v0.2.1):

  • No hand-written unsafe code (all unsafe blocks are auto-generated FlatBuffer bindings)
  • Input size limits enforced (5MB max input, 1MB max string, 10k max array)
  • Exit code 1 on all error paths
  • No data collection, no telemetry, no phone-home

MCP Server (Universal — not OpenClaw-specific)

For integration with MCP-native clients (Claude Desktop, Cursor, Windsurf, etc.):

germanic serve-mcp

Exposes 6 tools: germanic_compile, germanic_validate, germanic_inspect, germanic_schemas, germanic_init, germanic_convert.

Configure in any MCP client:

{
  "germanic": {
    "command": "germanic",
    "args": ["serve-mcp"],
    "transport": "stdio"
  }
}

For details: github.com/germanicdev/germanic

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

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按下载量换算3,056

安全审计

VirusTotal

通过

ClawScan

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Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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