网页截图加时间戳水印

SKILL开发
开发 未标注权限 许可证不明确
安装这个技能

Generic pipeline for capturing full-page screenshots of authenticated websites: guide login once, persist auth state, capture in scrollable segments, stitch vertically, and add a watermark. Fully parameterized, with no specific site or credentials baked in.

一句话选型结论

按资料字段整理

网页截图加时间戳水印是开发类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类开发 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_d1bab5e2/web-authed-screenshot
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

开发
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_d1bab5e2仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791687709
正文体量7.0 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
写代码与改 bug

按需求补代码、定位并修掉报错。

读仓库与生成改动

让模型读懂项目结构,再给出可落地的改动。

跑测试与排查故障

按现象排查问题,补测试用例并复跑。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在开发场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
网页截图加时间戳水印当前 未标注权限 未标注 未标注 未标注 有
技能审查员 浏览器控制 ClawHub 市场 877.9 万 OpenClaw 有
Vercel React 最佳实践 浏览器控制 GitHub 仓库 849.1 万 Codex、Claude、Cursor 有
GitHub 代码协作 联网访问 ClawHub 市场 763.3 万 OpenClaw 有
网页设计指南 联网访问 GitHub 仓库 668.6 万 Codex、Claude、Cursor 有
本体论 只读 ClawHub 市场 663.7 万 OpenClaw 有

SKILL.md 全文

7.0 KB
模型实际读到的说明书原文,来自技能仓库

Authenticated Web Screenshot (login → capture → stitch → watermark)

Overview

Capture a complete, paginated web page that sits behind a login. The skill logs
in once through a visible browser, persists the auth state, then repeatedly
produces full-page images headlessly — scrolling the page in fixed-height
segments, stitching them into a single tall image, and applying a watermark.
Everything is driven by CLI arguments; nothing about a particular site is
baked in, so it works for any authenticated URL.

Use this skill for: daily dashboard snapshots, archiving signed-in reports,
capturing charts/tables behind auth, building visual backups of web apps.

When to use

  • The user wants a screenshot of a page that requires login (dashboard, report,
    admin panel, OIDC/SAML site).
  • The user wants a full-page image longer than one viewport, including canvas
    or SVG charts that break under a naive fullPage shot.
  • The user wants to stitch multiple captures, or stamp a date/logo watermark.
  • A repeating/automated screenshot job is requested (e.g. "every day at 18:00").

Do not use this for public pages with no login — a single headless
page.screenshot is enough there. Also avoid for pages that need heavy
interaction before rendering (multi-step wizards); handle the interaction first,
then capture.

Prerequisites & setup

  1. A Chrome/Chromium browser installed on the machine (auto-detected; override
    with --chrome-path or CHROME_PATH).
  2. Install Node dependencies once into the skill's scripts/ folder:
    bash cd {skill}/scripts && npm init -y && npm install puppeteer-core sharp
    (puppeteer-core does not download a browser. To reuse a shared workspace
    instead, run scripts with NODE_PATH=<workspace>/node_modules.)

Workflow

Step 1 — Establish login state (one time, or when session expires)

The easiest path is the guided mode: it opens the login page in a visible
browser with a floating panel, and you click to choose the selectors — no
need to inspect HTML or guess CSS.

node scripts/login.js --url "{LOGIN_URL}" --guided

Then follow the on-screen panel in the browser:

  1. Click ① 选择登录元素, then click the login-related element on the page
    (e.g. the login button or form).
  2. Log in manually as you normally would.
  3. After login succeeds, click ② 选择登录完成标识, then click the element
    that only appears once logged in (e.g. your avatar / username).
  4. Click ✅ 完成并保存.

The script records both selectors and the auth state. The selectors are saved
to scripts/selectors.json keyed by domain, so capture.js reuses them
automatically (no need to pass --login-selector / --logged-in-selector).

Non-guided alternatives (when a human cannot click, e.g. headless CI):

# Auto-save when a post-login marker appears:
node scripts/login.js --url "{LOGIN_URL}" --profile "{PROFILE_DIR}" \
  --wait-selector "{CSS_AFTER_LOGIN}"

# Or: save live state continuously, then close the browser to finish:
node scripts/login.js --url "{LOGIN_URL}" --profile "{PROFILE_DIR}"
  • --profile is a dedicated Chrome user-data dir (auto-derived from the URL host
    when omitted); reuse the same value later in capture. The auth state persists
    in this directory AND in <profile>/auth-state.json (portable backup).
  • --selectors-file overrides where the per-domain selectors are stored
    (default: scripts/selectors.json).

Step 2 — Capture + stitch + watermark (repeatable / automatable)

Run scripts/capture.js headlessly:

node scripts/capture.js --url "{TARGET_URL}" --profile "{PROFILE_DIR}" \
  --output "{OUT.png}" \
  --render-selector "{CONTENT_ELEMENT}" \
  --watermark "2026-01-01 09:00 自动截图" --watermark-pos bottom \
  --date-suffix
  • After Step 1 (--guided), the --login-selector / --logged-in-selector are
    loaded automatically from selectors.json by domain — you can omit them.
    Pass them explicitly to override, or use --no-auto-detect to disable the
    heuristic login-page fallback.
  • Segment capture (default) preserves canvas/SVG content; add --full-page to
    use Chrome's native fullPage instead.
  • If the server session expired, the saved login selector triggers an auto
    re-import of auth-state.json and reload. If that still fails, re-run Step 1.

Step 3 (optional) — Standalone stitch / watermark

  • scripts/stitch.js --inputs a.png b.png --output full.png [--direction vertical|horizontal] [--gap N]
  • scripts/watermark.js --input in.png --output out.png --text "..." [--position top|bottom|tile] [--logo path]

For the complete argument reference and troubleshooting, load
references/usage.md. An editable settings template is at
assets/config.example.json.

Scripts index

Script Purpose
scripts/login.js Guided login (--guided click-to-pick selectors) or auto-save; persists profile + auth-state.json + selectors.json
scripts/capture.js Headless capture → segment → stitch → watermark
scripts/stitch.js Join images vertically/horizontally
scripts/watermark.js Stamp text/logo watermark on an image
scripts/lib.js Shared helpers (Chrome detection, watermark, stitch)

Notes / gotchas

  • Use a separate --profile per site; sharing one profile across sites can
    cause cookie cross-contamination.
  • Sticky/fixed headers repeat in each segment slice (segment mode). Mitigate with
    a smaller --segment-height or --full-page.
  • For scheduled jobs, ensure the profile's session is still valid; rebuild it via
    login.js when captures start showing the login page.
  • Guided mode needs a visible browser. If you run it through an environment
    that hides the browser window (sandboxed agent, headless host), the click panel
    is not interactable. Run it on the user's own desktop instead — e.g. execute
    node scripts/login.js --url "https://..." --guided there and paste the login
    URL when prompted. The saved selectors.json + profile are then reused by
    headless capture.js runs. (The skill is cross-platform; do not ship
    Windows-only .bat helpers inside the skill folder — published skills must not
    contain them. Wrap the command in a local .bat on your own machine if you want
    a double-click shortcut.)
  • Never store passwords or tokens in the skill or config — only the browser
    profile and exported cookie JSON hold auth, kept locally on the user's machine.

常见问题

5 问
答案由本站依据条目字段整理
网页截图加时间戳水印怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_d1bab5e2/web-authed-screenshot。安装方式为未标注。装完刷新技能列表或重开客户端。

网页截图加时间戳水印支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

网页截图加时间戳水印权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

网页截图加时间戳水印收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

网页截图加时间戳水印用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。