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Agent Skill · 研究检索

monday-accountability(周一责任)

monday-accountability 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。

monday-accountability 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 30,309。

总安装 2,899周安装 122GitHub Stars 公开资料未说明下载 1,015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
0.1.0

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:monday-accountability(周一责任)
来源仓库:https://github.com/novalystrix/monday-accountability
安装命令:
openclaw skills install monday-accountability
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 monday-accountability

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

monday-accountability 用于查找、检索和筛选相关信息。适合在 OpenClaw 中根据关键词、任务场景或来源线索快速定位候选结果时使用。通过 clawhub 安装,管理 Monday.com 板上的问责项目。安装前需确认权限范围、维护状态及是否触发 API 调用或数据修改。

注意该技能用于创建工作会话和检查责任项目,需验证板配置兼容性。

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 monday-accountability;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

    它需要执行命令,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

monday-accountability 怎么安装?

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

monday-accountability 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。

monday-accountability 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install monday-accountability 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

monday-accountability 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。

monday-accountability 用的人多吗?

公开数据是累计安装 2,899 次,近一周安装 122 次,下载 1,015 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。

monday-accountability 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

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
monday-accountability

周一责任 · 本页

2,899—执行命令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
accountability
description
Manage accountability items on the configured Monday.com board. Use when creating new accountability items, checking on existing ones, running work sessions, or when a cron job fires. Also use when the owner assigns accountability or asks about status.

Accountability Skill

Board Info

  • Board ID: Configured via boardId in plugin config
  • Columns: Configured via columns in plugin config (with sensible defaults)

Columns

ColumnConfig KeyTypePurpose
Statuscolumns.statusstatusActive / Done / Blocked
Check Frequencycolumns.checkFrequencytextHow often to check: 1h, 2h, 4h, 8h, daily
Last Checkedcolumns.lastCheckeddateWhen the agent last reviewed this item
Detailscolumns.detailslong_textFull definition of what "done" means, context, blockers
Assigned Bycolumns.assignedBystatusWho created/assigned this task: {owner} or {agent}

Completion Rules

  • Owner-assigned tasks: Only the owner can mark them Done. The agent may suggest completion but must NOT change status to Done.
  • Agent-assigned tasks: The agent can mark them Done independently.
  • Always check "Assigned By" before changing any status to Done.

API Setup

  • Token: configured via mondayApiToken in plugin config
  • Endpoint: https://api.monday.com/v2 (GraphQL)
  • Auth header: Authorization: <token>

Hourly Work Session (Cron-Triggered)

This is the core loop. Every hour, a cron job fires and the agent runs a real work session — not just a status check.

Phase 1: Review & Plan

  1. Read all active items from the Monday board (including sub-items)
  2. Assess each item: What's the current state? What changed since last check? What's blocking progress?
  3. Pick what to work on — prioritize items that are unblocked and can make real progress
  4. Break work into subtasks — create sub-items under the main accountability item on Monday
  5. Write the plan in the Doc column of the sub-item: what you're about to do, approach, expected outcome

Phase 2: Do the Work

  1. Execute the plan:

- For code work: Follow the product-dev process — Claude Code writes code, test, iterate. Never code directly. - For non-code work: Do it directly (config changes, research, outreach, etc.)

  1. Write an update on the main accountability item in Monday (Updates section) with what was done and results

Phase 3: Handle Being Stuck

If stuck, blocked, or unsure what to do next:

  1. Reassess the whole project fresh — don't keep banging on the same approach
  2. If it's code: Read ALL of it. Understand the goal. Reflect on everything as if seeing it for the first time.
  3. Create new tasks as needed (sub-items on Monday)
  4. Orchestrate others:

- Sub-agents: Spawn Claude Code or other coding agents for implementation - People: Message anyone who can help unblock you

  1. If you genuinely need the owner: Message them with specific context — what you tried, what failed, what you need from them

Phase 4: Wrap Up

  1. Update "Last Checked" date on all reviewed items
  2. Update statuses: Move items to Blocked/Stuck if appropriate
  3. For owner-assigned items that look complete: Write an update suggesting it's done, but do NOT change status to Done — only the owner can do that

Workflow: Creating New Accountability Items

  1. Create item on the configured board with accountability_create_item
  2. Set Details column with: goal, definition of done, current state
  3. Set Check Frequency (e.g. "1h")
  4. Set Assigned By: {owner} or {agent} depending on who initiated it
  5. Write first update with current status
  6. The hourly work session cron handles all items — no need for per-item crons

Workflow: Daily Summary

Every day at the configured time, review all active items and write a consolidated update to the owner.


Monday.com Sub-Items

Sub-items are used as subtasks under each accountability item. They represent specific work units.

Create sub-item

mutation { create_subitem(parent_item_id: PARENT_ID, item_name: "SUBTASK_NAME", column_values: "{\"DETAILS_COL_ID\":{\"text\":\"PLAN\"}}") { id } }

Read sub-items

{ items(ids: [PARENT_ID]) { subitems { id name column_values { id text value } } } }

GraphQL Snippets

Read all active items (with sub-items)

{ boards(ids: BOARD_ID) { items_page(limit: 50) { items { id name column_values { id text value } updates(limit: 3) { body created_at } subitems { id name column_values { id text value } } } } } }

Create item

mutation { create_item(board_id: BOARD_ID, item_name: "TITLE", column_values: "{\"DETAILS_COL\":{\"text\":\"DETAILS\"},\"FREQ_COL\":\"FREQ\",\"ASSIGNED_COL\":{\"label\":\"ASSIGNEE\"}}") { id } }

Write update

mutation { create_update(item_id: ITEM_ID, body: "<p>UPDATE_HTML</p>") { id } }

Update Last Checked

mutation { change_column_value(board_id: BOARD_ID, item_id: ITEM_ID, column_id: "LAST_CHECKED_COL", value: "{\"date\":\"YYYY-MM-DD\"}") { id } }

Change Status

Status labels: Working on it (1/orange), Done (2/green), Stuck (0/red)

mutation { change_column_value(board_id: BOARD_ID, item_id: ITEM_ID, column_id: "STATUS_COL", value: "{\"label\":\"Working on it\"}") { id } }

Helper Script

Run scripts/monday-api.sh for common operations:

# List items
bash scripts/monday-api.sh list
# Add update to item
bash scripts/monday-api.sh update <item_id> "<html body>"
# Set last checked
bash scripts/monday-api.sh checked <item_id>

Messaging Etiquette

  • Never message people outside configured messaging hours unless it's genuinely urgent
  • If you need someone's input and it's outside hours, note it as a blocker and follow up when hours resume

Critical: Read Before Working

Before doing ANY work on an accountability item, you MUST read the full Document/Details column on that item first. This contains important context, constraints, and explicit instructions about what to do and what NOT to do. Skipping this step has caused the agent to undo previous decisions. No exceptions.

Sub-Agent Context Rule

When spawning any sub-agent for work on an accountability item, you MUST include the full text from the item's Details/Doc column in the sub-agent's task prompt. This includes constraints, warnings, history, and explicit "DO NOT" instructions. The sub-agent has no memory of previous sessions — if it doesn't get the context in its prompt, it will make decisions that contradict prior decisions.

平台分布

OpenClaw

98.79%
按下载量换算1,003

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install monday-accountability 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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