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web-claude

作者 mupengi-bot · GitHub ↗ · v1.1.0
cross-platform ⚠ suspicious
2146
总下载
1
收藏
24
当前安装
2
版本数
在 OpenClaw 中安装
/install web-claude
功能描述
Unified web search skill. Fallback order — web_search(Brave) → duckduckgo → claude.ai. Auto-cache search results (saved to memory/research/)
安全使用建议
This skill appears to do what it says (a 3-tier unified search) but it omits some important declarations and assumptions. Before installing or using it: (1) Confirm where and how you will supply a Brave API key (the SKILL.md says it's required but the skill metadata doesn't declare it). Store that key in a secure place and avoid embedding it in logs. (2) Be aware the DuckDuckGo fallback uses a python snippet that requires the duckduckgo_search package and a Python runtime — install and vet that package if you plan to rely on it. (3) Tier 3 automates your local OpenClaw browser (port 18800) and requires a logged-in claude.ai session; automation will interact with your authenticated browser and could expose session-contained data — only enable it if you trust the skill and want automated access to your session. (4) The skill auto-saves search results to memory/research/ — these files may contain sensitive queries or fetched content; review and control that folder or request an option to disable caching. (5) Ask the skill author to update metadata to explicitly list required env vars, dependencies, and the cache path (so you can audit and control them). If you need higher assurance, request a version that declares dependencies and briefly shows the exact commands it will run (or provide an install script that you can review).
功能分析
Type: OpenClaw Skill Name: web-claude Version: 1.1.0 The skill is classified as suspicious due to significant vulnerabilities that could lead to remote code execution (RCE) and arbitrary file writes. The `python -c` command used for DuckDuckGo search in SKILL.md presents a shell/Python injection risk if the search query is not properly sanitized. Additionally, the auto-caching feature, which creates files with `[keyword]` derived from the search query in `memory/research/`, introduces a path traversal or arbitrary file write vulnerability if the keyword is not sanitized. While the skill's stated purpose is benign, these implementation flaws allow for potential exploitation, classifying it as suspicious rather than malicious, as there's no clear evidence of intentional harmful design.
能力评估
Purpose & Capability
The SKILL.md describes a 3-tier search (Brave web_search, DuckDuckGo via python, and claude.ai browser automation). The skill metadata declares no required env vars, binaries, or installs, yet the instructions explicitly say a Brave API key is required for Tier 1 and the DuckDuckGo fallback uses a python package (duckduckgo_search). Those credentials/dependencies are expected for the stated functionality but are not declared in metadata — a mismatch.
Instruction Scope
Runtime instructions direct the agent to: call a built-in web_search tool, run an external python snippet, automate a browser on port 18800 to access claude.ai, and save full results to memory/research/ files. Saving to disk and automating the user's logged-in claude.ai browser session are within 'search' scope but they access filesystem and an authenticated browser session that the metadata does not mention. The instructions also recommend waits and snapshots which could expose session state; these behaviors should be explicitly declared.
Install Mechanism
There is no install spec (instruction-only), which keeps disk footprint low. However, the DuckDuckGo fallback calls a python snippet that requires the third-party duckduckgo_search package and assumes python is available. The skill does not declare that dependency or provide installation steps — a practical omission rather than an outright malicious indicator.
Credentials
The SKILL.md states Tier 1 "requires Brave API key" and Tier 3 requires a logged-in claude.ai browser, but the registry metadata lists no required environment variables, credentials, or config paths. In addition, the skill will write cached search results to memory/research/ without declaring that path as required. Requesting/using a Brave API key and access to browser sessions would be proportional for this functionality, but they must be declared — their absence is a red flag.
Persistence & Privilege
always:false and normal autonomous invocation are used. The only persistence explicitly described is auto-creating and writing search cache files under memory/research/. Writing user data to disk is within reason for caching, but users should be warned about what gets stored and where. The skill does not request system-wide or other-skills configuration changes.
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 web-claude
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /web-claude 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
v1.1.0
Updated version
v1.0.0
- Initial release of unified web search skill with 3-tier fallback: Brave API → DuckDuckGo → claude.ai browser. - Automatically caches all search results to memory/research/ with detailed metadata and insights. - Supports custom search parameters: freshness, language, country, and method selection. - Offers usage guidance, fallback logic, integration tips for other skills, and troubleshooting. - No API key required for DuckDuckGo or claude.ai browser fallback methods.
元数据
Slug web-claude
版本 1.1.0
许可证
累计安装 25
当前安装数 24
历史版本数 2
常见问题

web-claude 是什么?

Unified web search skill. Fallback order — web_search(Brave) → duckduckgo → claude.ai. Auto-cache search results (saved to memory/research/). 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 2146 次。

如何安装 web-claude?

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

web-claude 是免费的吗?

是的,web-claude 完全免费(开源免费),可自由下载、安装和使用。

web-claude 支持哪些平台?

web-claude 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 web-claude?

由 mupengi-bot(@mupengi-bot)开发并维护,当前版本 v1.1.0。

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