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todozitodozi 搜索

Agent Skill

todozi 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

62,987

周安装

2,573

GitHub Stars

公开资料未说明

下载量

20,172
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:todozi(todozi 搜索)
来源仓库:https://github.com/bgengs/todozi
安装命令:
openclaw skills install todozi
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 todozi

简介

Todozi 艾森豪威尔矩阵 API 客户端 + LangChain 工具。创建矩阵、任务、目标、笔记;列表/搜索/更新;批量操作;网络钩子。类别:做、完成、梦想、委托、推迟、不做。

SKILL.md

name
todozi
description
Todozi Eisenhower matrix API client + LangChain tools. Create matrices, tasks, goals, notes; list/search/update; bulk operations; webhooks. Categories: do, done, dream, delegate, defer, dont.

Todozi

Quick Start

As SDK:

from skills.todozi.scripts.todozi import TodoziClient

client = TodoziClient(api_key="your_key")
matrices = await client.list_matrices()
task = await client.create_task("Build feature", priority="high")
await client.complete_item(task.id)

As LangChain Tools:

from skills.todozi.scripts.todozi import TODOZI_TOOLS
# Add to agent tools list

SDK Overview

ClassPurpose
TodoziClientAsync API client
TodoziTaskTask dataclass
TodoziMatrixMatrix dataclass
TodoziStatsStats dataclass

Environment

export TODOZI_API_KEY=your_key
export TODOZI_BASE=https://todozi.com/api  # optional, default provided

Client Methods

Matrices

# List all matrices
matrices = await client.list_matrices()

# Create matrix
matrix = await client.create_matrix("Work", category="do")

# Get matrix
matrix = await client.get_matrix("matrix_id")

# Delete matrix
await client.delete_matrix("matrix_id")

Tasks / Goals / Notes

# Create task
task = await client.create_task(
    title="Review PR",
    priority="high",
    due_date="2026-02-01",
    description="Check the new feature",
    tags=["pr", "review"],
)

# Create goal
goal = await client.create_goal("Ship v2", priority="high")

# Create note
note = await client.create_note("Remember to call Mom")

# Get item
item = await client.get_item("item_id")

# Update item
updated = await client.update_item("item_id", {"title": "New title", "priority": "low"})

# Complete item
await client.complete_item("item_id")

# Delete item
await client.delete_item("item_id")

Lists

# List tasks (with filters)
tasks = await client.list_tasks(status="todo", priority="high")

# List goals
goals = await client.list_goals()

# List notes
notes = await client.list_notes()

# List everything
all_items = await client.list_all()

Search

Searches only: title, description, tags (NOT content)

results = await client.search(
    query="pr",
    type_="task",          # task, goal, or note
    status="pending",
    priority="high",
    category="do",
    tags=["review"],
    limit=10,
)

Bulk Operations

# Update multiple
await client.bulk_update([
    {"id": "id1", "title": "Updated"},
    {"id": "id2", "priority": "low"},
])

# Complete multiple
await client.bulk_complete(["id1", "id2"])

# Delete multiple
await client.bulk_delete(["id1", "id2"])

Webhooks

# Create webhook
webhook = await client.create_webhook(
    url="https://yoururl.com/todozi",
    events=["item.created", "item.completed"],
)

# List webhooks
webhooks = await client.list_webhooks()

# Update webhook
await client.update_webhook(webhook_id, url, ["*"])

# Delete webhook
await client.delete_webhook(webhook_id)

System

# Stats
stats = await client.get_stats()

# Health check
health = await client.health_check()

# Validate API key
valid = await client.validate_api_key()

# Register (get API key)
keys = await client.register(webhook="https://url.com")

LangChain Tools

The skill provides @tool decorated functions for agent integration:

from skills.todozi.scripts.todozi import TODOZI_TOOLS

# Available tools:
# - todozi_create_task(title, priority, due_date, description, thread_id, tags)
# - todozi_list_tasks(status, priority, thread_id, limit)
# - todozi_complete_task(task_id)
# - todozi_get_stats()
# - todozi_search(query, type_, status, priority, limit)
# - todozi_list_matrices()

Categories

CategoryDescription
doDo now (urgent + important)
delegateDelegate (urgent + not important)
deferDefer (not urgent + important)
doneCompleted items
dreamGoals/dreams (not urgent + not important)
dontDon't do (neither)

Common Patterns

Auto-create default matrix:

task = await client.create_task("My task")  # Creates "Default" matrix if needed

Get stats with completion rate:

stats = await client.get_stats()
rate = stats.completed_tasks / stats.total_tasks * 100 if stats.total_tasks > 0 else 0

Search with multiple filters:

results = await client.search("feature", type_="task", status="pending", priority="high")

Complete multiple tasks:

tasks = await client.list_tasks(status="todo")
ids = [t.id for t in tasks[:5]]
await client.bulk_complete(ids)

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

77.62%
按下载量换算15,658

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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