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StripFeed

作者 Atlas · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
399
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当前安装
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在 OpenClaw 中安装
/install stripfeed
功能描述
Fetch any URL as clean, AI-ready Markdown with token counts and caching. Strip ads, nav, scripts, and noise from web pages.
安全使用建议
This skill appears to do what it says: it calls an external API to convert web pages to cleaned Markdown and needs an API key. Before installing, consider: (1) privacy — any URL you give it (including pages behind auth or with private querystrings) will be sent to stripfeed.dev; don't send sensitive internal pages or pages with secrets. (2) API key provenance — only use a key you control and understand the service's terms/privacy policy (https://www.stripfeed.dev). (3) autonomous use — if you allow agents to call skills autonomously, limit scope or require confirmation so the agent doesn't accidentally send many or sensitive URLs. (4) test with public pages first and monitor usage/rate limits. If you need to avoid third-party exposure, ask whether a self-hosted or local HTML-to-Markdown approach would be more appropriate.
功能分析
Type: OpenClaw Skill Name: stripfeed Version: 1.0.0 The skill is classified as suspicious due to the inherent risk of shell injection. The `SKILL.md` defines `curl` as a required binary and provides examples where user-controlled input (specifically the `url` and `selector` parameters) is interpolated into `curl` commands. If the OpenClaw agent's execution environment does not properly sanitize or escape these user-provided arguments before executing the shell command, it could lead to arbitrary command execution (RCE) by a malicious user. This represents a significant vulnerability, even though the skill itself does not explicitly instruct the agent to perform malicious actions.
能力评估
Purpose & Capability
Name/description, required binary (curl), and required env var (STRIPFEED_API_KEY) align with a simple HTTP-based API client for stripfeed.dev. The declared primary credential matches the documented Authentication section in SKILL.md.
Instruction Scope
SKILL.md instructs the agent to POST/GET URLs to https://www.stripfeed.dev endpoints and return Markdown/JSON. This is exactly the skill's purpose, but it means the agent will transmit the full target URL (and the page content it fetches) to an external service. There are no instructions to read local files, other env vars, or unrelated system state.
Install Mechanism
Instruction-only skill with no install steps and a simple runtime dependency (curl). No downloads, no extracted archives, no extra packages — low install risk.
Credentials
Only a single API key (STRIPFEED_API_KEY) is required, which is proportionate to calling a hosted API. No unrelated credentials, config paths, or excessive env variables are requested.
Persistence & Privilege
The skill does not request always:true or other elevated persistent privileges. It does allow normal autonomous invocation (platform default). Because the skill sends URLs/contents to a third-party API, autonomous or frequent invocation could leak sensitive page contents if the agent is allowed to call the skill without tighter guardrails.
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 stripfeed
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /stripfeed 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
v1.0.0
Update skill
元数据
Slug stripfeed
版本 1.0.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

StripFeed 是什么?

Fetch any URL as clean, AI-ready Markdown with token counts and caching. Strip ads, nav, scripts, and noise from web pages. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 399 次。

如何安装 StripFeed?

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

StripFeed 是免费的吗?

是的,StripFeed 完全免费(开源免费),可自由下载、安装和使用。

StripFeed 支持哪些平台?

StripFeed 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 StripFeed?

由 Atlas(@atlasopenclaw)开发并维护,当前版本 v1.0.0。

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