Token导航 LogoToken导航TokenDH.com
开发操作浏览器clawhub未标认证来源可访问clear审计通过

pingcode-timeloggerping 码时间记录器

Agent Skill

pingcode-timelogger 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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

3,096

周安装

133

GitHub Stars

公开资料未说明

下载量

1,085
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:pingcode-timelogger(ping 码时间记录器)
来源仓库:https://github.com/huuuwnnn-droid/pingcode-timelogger
安装命令:
openclaw skills install pingcode-timelogger
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 pingcode-timelogger

简介

PingCode时间记录器自动填写工时并创建子任务条目。

  • 适合敏捷开发团队追踪成员工作投入与项目进度。pingcode-timelogger 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 支持按天/周维度汇总工时报表供管理层查阅审批。
  • 需配置PingCode API密钥与项目空间映射关系。
  • 自动记录可能存在误判需定期人工校准确保准确性。

SKILL.md

name
pingcode-timelogger
description
Automate PingCode timesheet filling — create sub-tasks and log work hours. Use when asked to fill PingCode timesheets, log work hours, create work items, or auto-generate timesheets from Git commits. Triggers on "fill PingCode", "log hours", "PingCode timesheet", "fill timesheet", "工时填报", "填工时", "PingCode填报", "根据Git提交填工时".

PingCode TimeLogger

Automate PingCode timesheet: create sub-tasks under a parent work item, set properties, and log work hours. Supports manual task lists and auto-generation from Git commits.

Setup

Config lives at ~/.openclaw/skills/pingcode-timelogger/config.yaml. Read it first on every invocation.

If config doesn't exist, guide the user through first-time setup:

  1. Copy the template from references/config-template.yaml in this skill directory
  2. User fills in their PingCode URL, cookie, project info, and optionally Git credentials
  3. Validate by making a test API call to PingCode

Config Structure

pingcode:
  url: https://company.pingcode.com    # PingCode instance URL
  cookie_file: ./cookies.txt           # Path to cookie file (relative to config dir)
  project_id: ""                       # Project _id (24-char hex)
  default_parent_id: ""                # Default parent work item _id
  user_id: ""                          # Assignee user _id
  task_type_id: ""                     # "任务" type _id
  completed_state_id: ""               # "已完成" state _id

git:
  provider: github                     # github or gitlab
  url: https://api.github.com          # API base URL
  token_file: ./git-token.txt          # Path to token file (relative to config dir)
  username: ""                         # Git username
  repos: []                            # Repos to scan, e.g. ["owner/repo1"]

defaults:
  work_category: 研发                   # 研发/设计/部署/测试/文档/产品/调研/其他
  assignee_name: ""                    # Display name for confirmation messages

Authentication

Two strategies, with automatic fallback:

Strategy 1: API Direct (Primary)

Read cookie from cookie_file in config. Use credentials: 'include' or Cookie header for all API calls.

Strategy 2: Browser Automation (Fallback)

If API calls fail (401/403), fall back to browser automation:

  1. Open PingCode URL in browser
  2. Check if user is logged in
  3. If not, ask user to log in manually
  4. Operate via browser UI

Always try API first. Only fall back to browser when API auth fails.

Core Workflow

Step 0: User Confirmation (Mandatory)

Before creating anything, always present the full plan to the user and wait for explicit confirmation:

  1. Parse user input (task table or description)
  2. Organize into the correct structure (see Task Structure below)
  3. Output a clear summary: which story → which tasks → which sub-tasks → hours per item
  4. Wait for user to say OK before executing
  5. During execution, report progress in real-time (don't batch all updates to the end)

Task Structure

Two modes depending on the project:

Mode A: Flat (e.g., SMA project)

Simple parent → child tasks. Each task is a direct sub-item under the parent story/task.

Mode B: Phased (e.g., RD-IT project)

Three-level structure aligned with delivery phases:

Story (需求)
├── 前端开发 (task)         ← phase node, sub-tasks underneath
│   ├── sub-task: feature A
│   └── sub-task: feature B
├── 后端开发 (task)         ← phase node, sub-tasks underneath
│   └── sub-task: API work
├── 自测 (task)             ← phase node, usually no children
├── 联调 (task)             ← phase node
├── 研发自扫 (task)         ← phase node
├── 产品文档 (task)         ← phase node
├── PRD文档 (task)          ← phase node
├── 测试 (task)             ← phase node, may have children (test cases, test report)
├── 上线准备 (task)         ← phase node, may have children (manual, release plan)
└── 上线文档梳理 (task)     ← phase node

Rules for Mode B:

  • All phase nodes are sibling tasks under the story (not nested)
  • Only 前端开发 and 后端开发 have sub-tasks for specific dev work
  • Other phases (自测, 联调, 文档, etc.) are usually single tasks
  • 测试 and 上线准备 may have sub-tasks if there are multiple deliverables
  • Work hours go on the lowest level: sub-tasks if they exist, otherwise directly on the phase task
  • Estimated hours (estimated_workload) = registered hours (same value)
  • If a phase task already exists under the story, reuse it; don't create duplicates

Determining the mode: Check the project identifier prefix (SMA → Mode A, RD-IT → Mode B). If unclear, ask the user.

Locate Target Parent

User provides one of:

  • PingCode URL: Extract work item ID from URL path, e.g. https://company.pingcode.com/pjm/projects/SMA/work-items/SMA-348 → look up SMA-348
  • Work item identifier: e.g. SMA-348GET /api/agile/work-items/SMA-348 to get _id
  • Nothing specified: Use default_parent_id from config

For Mode B, also check existing children of the story:

GET {pingcode_url}/api/agile/work-items/{story_id}/children

Reuse existing phase tasks (e.g., if "后端开发" already exists, create sub-tasks under it).

Create Sub-Tasks

For each task in the list:

POST {pingcode_url}/api/agile/work-item
Cookie: <from cookie_file>

{
  "property_values": [
    {"key": "title", "value": "<task title>"},
    {"key": "type", "value": "<task_type_id from config>"},
    {"key": "project_id", "value": "<project_id from config>"},
    {"key": "assignee", "value": "<user_id from config>"},
    {"key": "parent_id", "value": "<parent _id>"},
    {"key": "due", "value": null},
    {"key": "phase", "value": null}
  ]
}

Note: Endpoint is /api/agile/work-item (singular), NOT /api/agile/work-items.

Set Date and Status

PUT {pingcode_url}/api/agile/work-items/{_id}/property
Cookie: <from cookie_file>

# Set start date:
{"key": "start", "value": {"date": <unix_timestamp>}}

# Set end date:
{"key": "due", "value": {"date": <unix_timestamp>}}

Batch set status to completed:

POST {pingcode_url}/api/agile/work-items/state
Cookie: <from cookie_file>

{
  "state_id": "<completed_state_id from config>",
  "work_item_ids": ["id1", "id2", ...],
  "bypass": 0
}

Set Estimated Workload

PUT {pingcode_url}/api/agile/work-items/{_id}/property
Cookie: <from cookie_file>

{"key": "estimated_workload", "value": <hours_as_number>}

⚠️ The value is in HOURS (not seconds). Do NOT multiply by 3600.

Set estimated workload = registered hours (same value) on every task/sub-task that has hours logged.

Log Work Hours

POST {pingcode_url}/api/ladon/workload/register
Cookie: <from cookie_file>

{
  "principal_type": "work_item",
  "principal_id": "<task_id>",
  "man_hour": <hours>,
  "remaining_workload": 0,
  "register_date": <cst_midnight_unix_ts>,
  "work_category_id": "<category_id>",
  "work_content": "<task description>",
  "pilot_id": "<project_id>"
}

⚠️ pilot_id is required — set it to the project's _id (same as project_id).

work_category_id mapping — read references/category-ids.md for the full list. Common: 研发=5cb7e7fffda1ce4ca0050002.

register_date: Must be CST (UTC+8) midnight timestamp. Formula: new Date('YYYY-MM-DDT00:00:00+08:00').getTime() / 1000

Distribute hours across weekdays (Mon–Fri). Never pile all hours on one day.

Git Commit Auto-Fill

When user says "根据Git提交填工时" or similar:

  1. Read Git config from config.yaml (provider, token, repos)
  2. Ask user for: target date range, total work hours for the period
  3. Fetch commits via Git API — see references/git-integration.md
  4. Group commits by day and summarize into task titles
  5. Distribute hours proportionally across days based on commit count
  6. Confirm task list with user before creating
  7. Execute standard workflow (create tasks → set properties → log hours)

Important Rules

  • Always confirm the full task list with user before creating anything
  • Report progress in real-time — don't wait until the end to send all updates
  • API endpoint is singular: /api/agile/work-item for creation
  • Never use Bearer token — PingCode auth requires Cookie
  • Status flow: Only use "已完成", never "关闭". Must go: 打开→进行中→已完成 (two steps)
  • Type matters: Tasks (type=4) can have hours logged directly. User Stories (type=3) cannot — must create task sub-items under them
  • estimated_workload unit is HOURS — do NOT multiply by 3600
  • pilot_id is required for workload register — use the project_id
  • Read-only for production data: Never delete or modify existing work items without explicit user confirmation

Error Handling

ErrorAction
401/403 on APISwitch to browser fallback
Cookie expiredAsk user to re-export cookie or log in via browser
Parent is Epic (type=2)Cannot create task directly under Epic; find or create a User Story first
work_category_id missingRequired field since 2026-04; always include it
pilot_id not foundAdd pilot_id: <project_id> to workload register request
estimated_workload too largeUnit is hours, not seconds; do NOT multiply by 3600

First-Time Setup Guide

If config file doesn't exist, walk user through setup:

  1. Create config directory: mkdir -p ~/.openclaw/skills/pingcode-timelogger
  2. Copy template: read references/config-template.yaml and save to config dir
  3. User fills in PingCode URL
  4. Guide user to export cookies (browser DevTools → Application → Cookies → copy all for the PingCode domain, or use a cookie export extension)
  5. Help user find project_id, task_type_id, state_ids by browsing PingCode API or UI
  6. Optionally configure Git integration
  7. Test with a dry-run (show what would be created without actually creating)

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

86.13%
按下载量换算935

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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

继续浏览同类 Skills