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Agent Skill · 开发

pingcode-timelogger(ping 码时间记录器)

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。

pingcode-timelogger 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 8,584。

总安装 3,096周安装 133GitHub Stars 公开资料未说明下载 1,085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
1.1.0

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: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

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

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。

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 pingcode-timelogger;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

    它需要操作浏览器,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

pingcode-timelogger 怎么安装?

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

pingcode-timelogger 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。

pingcode-timelogger 需要什么权限?

权限级别是操作浏览器。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。

pingcode-timelogger 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。

pingcode-timelogger 用的人多吗?

公开数据是累计安装 3,096 次,近一周安装 133 次,下载 1,085 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。

pingcode-timelogger 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
pingcode-timelogger

ping 码时间记录器 · 本页

3,096—操作浏览器MIT-0通过

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
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-348 → GET /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)

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。目前只有一个公开来源,建议同时核对源仓库。

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