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瀑布流特定画风采图员 (The Vibe Harvester)

作者 AnotherJ1 · GitHub ↗ · v0.1.0
cross-platform ⚠ suspicious
422
总下载
2
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install vibe-harvester
功能描述
自动向下滚动瀑布流网站(如小红书、Pinterest),根据用户设定的审美偏好进行视觉筛选,并自动下载符合要求的参考图。
安全使用建议
This skill instructs an agent to perform automated GUI/browser interactions and to evade anti-bot measures (slide captcha handling, disabled right-click workarounds). Before installing, confirm: (1) how will the skill drive the browser and where does the visual model run (local model, platform capability, or external API)? (2) whether any additional binaries, browser extensions, or API keys are required — ask the author for a dependency list and an install plan; (3) that you are permitted to download the target sites' images (terms-of-service and copyright); and (4) that you are comfortable granting an autonomous agent the ability to interact with websites on your behalf. Avoid installing if you cannot verify how it performs captcha bypasses or if doing so would violate site terms or laws. If you proceed, test in a controlled environment and limit its scope (use a throwaway account and a small download folder).
功能分析
Type: OpenClaw Skill Name: vibe-harvester Version: 0.1.0 The skill bundle is classified as benign. The `SKILL.md` defines a web scraping agent designed to visually filter and download images from waterfall websites. Crucially, the permissions explicitly set `shell: allowed: false`, preventing any shell command execution. File system write access is strictly limited to `~/Downloads/Vibe_Harvester`, and read access is denied. While the instructions detail advanced anti-detection techniques (e.g., 'human-like scrolling', 'random pause time', 'handling captchas'), these are functional requirements for robust web scraping and do not indicate malicious intent given the restricted permissions and the absence of any instructions for data exfiltration, unauthorized execution, or persistence. The 'Safety and Operation Redlines' further reinforce a benign purpose by forbidding clicking ads and encouraging selective downloading.
能力评估
Purpose & Capability
The declared purpose (scanning waterfall sites and saving matching images) matches the single declared write permission (~/Downloads/Vibe_Harvester). However the SKILL.md explicitly expects GUI/browser automation (mouse movement, clicks, opening large previews, right-click save) and a 'visual large model' for aesthetic filtering. The skill declares no required binaries, automation tools, or model credentials — an incoherence between what it says it will do and what it requests/install/depends on.
Instruction Scope
Instructions go beyond simple browsing: they direct simulated mouse/scroll behavior, opening/closing pages, interacting with UI elements, and explicitly instruct how to handle '滑动验证码' (slide captchas), login popups, and disabled right-clicks. That is scope-creep: it includes steps that attempt to evade anti-bot measures and interact with authentication UI, which are not justified by the declared metadata and raise legal/ethical concerns.
Install Mechanism
No install spec is provided, yet the runtime behavior described would normally require browser automation tooling (Selenium/Playwright), a browser extension, or a platform-provided UI-driving capability, plus a vision model runtime or API. The absence of any declared install or dependency means it's unclear how the skill will actually perform those actions — this mismatch is a deployment risk and a red flag.
Credentials
At face value the single write permission to a downloads folder is proportionate. But the SKILL.md relies on a '视觉大模型' without declaring any API keys, endpoints, or local model requirements, and instructs interacting with login prompts and captchas (which could lead to credential exposure or unintended clicks). The lack of declared credentials or config for the vision model is inconsistent and suspicious.
Persistence & Privilege
always:false (no forced persistence) which is appropriate. Autonomous invocation is allowed by default; combined with the instructions to autonomously interact with arbitrary websites and bypass anti-bot measures, this increases potential impact. No indication the skill modifies other skills or system settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install vibe-harvester
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /vibe-harvester 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.0
Initial release. Added human-like scrolling, aesthetic visual filtering, and automated precise downloading. (添加了拟人化滚动浏览、基于审美的视觉过滤和自动精准下载功能。)
元数据
Slug vibe-harvester
版本 0.1.0
许可证
累计安装 1
当前安装数 1
历史版本数 1
常见问题

瀑布流特定画风采图员 (The Vibe Harvester) 是什么?

自动向下滚动瀑布流网站(如小红书、Pinterest),根据用户设定的审美偏好进行视觉筛选,并自动下载符合要求的参考图。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 422 次。

如何安装 瀑布流特定画风采图员 (The Vibe Harvester)?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install vibe-harvester」即可一键安装,无需额外配置。

瀑布流特定画风采图员 (The Vibe Harvester) 是免费的吗?

是的,瀑布流特定画风采图员 (The Vibe Harvester) 完全免费(开源免费),可自由下载、安装和使用。

瀑布流特定画风采图员 (The Vibe Harvester) 支持哪些平台?

瀑布流特定画风采图员 (The Vibe Harvester) 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 瀑布流特定画风采图员 (The Vibe Harvester)?

由 AnotherJ1(@anotherj1)开发并维护,当前版本 v0.1.0。

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