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Agent Skill · 研究检索

nova-accountability(新星责任)

nova-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。

nova-accountability 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;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 33,507。

总安装 2,350周安装 96GitHub Stars 公开资料未说明下载 753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
2.0.0

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:nova-accountability(新星责任)
来源仓库:https://github.com/novalystrix/nova-accountability
安装命令:
openclaw skills install nova-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 nova-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。

管理 Monday.com 板上的问责项目。在创建新的责任项目、检查现有责任项目、运行工作会话或创建新的责任项目时使用。

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 nova-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

    它需要接触敏感数据,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

nova-accountability 怎么安装?

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

nova-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。

nova-accountability 需要什么权限?

权限级别是接触敏感数据。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。

nova-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。

nova-accountability 用的人多吗?

公开数据是累计安装 2,350 次,近一周安装 96 次,下载 753 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。

nova-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

  • 需要接触敏感数据,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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
nova-accountability

新星责任 · 本页

2,350—接触敏感数据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 a 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 says "you're accountable for X" or asks about accountability status.
config
board_id
type
string
required
true
description
Monday.com board ID (found in the board URL)
api_token_env
type
string
default
MONDAY_API_TOKEN
description
Name of the environment variable holding the Monday.com API token
owner_name
type
string
default
Owner
description
Human name for the owner/manager (used in completion rules and messaging)
agent_name
type
string
default
Agent
description
Name of the AI agent running this skill
columns
type
object
description
Monday.com column IDs for this board
properties
status
type
string
default
color_mm0yr4nm
check_frequency
type
string
default
text_mm0y6b8r
last_checked
type
string
default
date_mm0y8p9j
details
type
string
default
long_text_mm0yce5e
assigned_by
type
string
default
color_mm10z99x
assigned_by_labels
type
object
properties
owner
type
string
default
Owner
agent
type
string
default
Agent
messaging_hours
type
object
properties
start
type
string
default
08:00
end
type
string
default
22:00
timezone
type
string
default
UTC

Accountability Skill

Configuration

This skill is config-driven. All board IDs, column IDs, and names come from plugin config (see frontmatter above). For this installation:

  • Board ID: {{config.board_id}}
  • Owner Name: {{config.owner_name}}
  • Agent Name: {{config.agent_name}}

Column IDs

ColumnConfig KeyDefault IDTypePurpose
Statuscolumns.statuscolor_mm0yr4nmstatusActive / Done / Blocked
Check Frequencycolumns.check_frequencytext_mm0y6b8rtextHow often to check: 1h, 2h, 4h, 8h, daily
Last Checkedcolumns.last_checkeddate_mm0y8p9jdateWhen agent last reviewed this item
Detailscolumns.detailslong_text_mm0yce5elong_textFull definition of done, context, blockers
Assigned Bycolumns.assigned_bycolor_mm10z99xstatusWho created/assigned this task

Completion Rules

  • Owner-assigned tasks ({{config.assigned_by_labels.owner}}): Only {{config.owner_name}} can mark them Done. Agent may suggest completion but must NOT change status to Done.
  • Agent-assigned tasks ({{config.assigned_by_labels.agent}}): Agent can mark them Done independently.
  • Always check "Assigned By" before changing any status to Done.

API Setup

  • Token env var: {{config.api_token_env}} in ~/.openclaw/.env
  • 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 — Cursor Agent 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 Cursor Agent or other coding agents for implementation - People: Message anyone who can help — {{config.owner_name}} or others. Don't limit yourself. If someone else has the context or ability to unblock you, reach out to them directly.

  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 {{config.owner_name}} can do that

Workflow: Creating New Accountability Items

  1. Create item on board {{config.board_id}} with create_item mutation
  2. Set Details column with: goal, definition of done, current state
  3. Set Check Frequency (e.g. "1h")
  4. Set Assigned By: {{config.assigned_by_labels.owner}} or {{config.assigned_by_labels.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 9:00 AM, review all active items and write a consolidated update to {{config.owner_name}}.


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") { id } }

Read sub-items

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

GraphQL Snippets

Replace BOARD_ID with {{config.board_id}} and column IDs with values from config.

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\":\"OWNER_LABEL\"}}") { 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:

export MONDAY_API_TOKEN="your_token"
export MONDAY_BOARD_ID="your_board_id"

# 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 {{config.messaging_hours.start}} – {{config.messaging_hours.end}} ({{config.messaging_hours.timezone}}) 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
  • {{config.owner_name}} can be messaged anytime if something is truly urgent

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

88.81%
按下载量换算669

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

接触敏感数据

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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