← 返回 Skills 市场
582
总下载
0
收藏
4
当前安装
8
版本数
在 OpenClaw 中安装
/install news-fetcher
功能描述
Install, configure, validate, and run the news-fetcher Python CLI for aggregating RSS/Atom and HTML news sources with deduplication, clustering, ranking, sou...
安全使用建议
This skill is instruction-only and appears coherent, but take normal precautions before following the install steps: (1) pip installing from a git+ URL executes code on your machine—use a virtualenv (as the instructions show) and avoid installing as root; (2) review the referenced GitHub repo (miniade/[email protected]) to ensure you trust it and to inspect any install/run scripts; (3) be aware the tool fetches and scrapes remote sites (RSS/HTML/GitHub Trending) so it needs network access and should be run with appropriate rate limits and privacy considerations; (4) if you need stronger assurance, run the package in an isolated sandbox or container and inspect its behavior before giving it regular use.
功能分析
Type: OpenClaw Skill
Name: news-fetcher
Version: 0.1.8
The skill bundle describes a news aggregation CLI tool with functionality for RSS/Atom feeds, HTML scraping, and GitHub project discovery. The instructions in SKILL.md are consistent with the stated purpose, providing standard installation steps via pip from a GitHub repository (github.com/miniade/news-fetcher) and clear configuration examples. No evidence of malicious intent, data exfiltration, or prompt injection was identified.
能力评估
Purpose & Capability
Name/description match the SKILL.md: it instructs how to install, configure, validate, and run the news-fetcher Python CLI. Nothing in the skill asks for unrelated credentials, binaries, or system-wide config.
Instruction Scope
SKILL.md limits actions to creating/validating a config, running the CLI, and piping output formats. It does not instruct the agent to read unrelated files, access secrets, or transmit data to unexpected endpoints. It does recommend scraping/public pages (e.g., GitHub Trending) which is expected for the skill's purpose.
Install Mechanism
There is no install spec (instruction-only), which reduces risk. The instructions recommend pip installing from a GitHub repository (git+https://github.com/miniade/[email protected]) — a standard but inherently privileged operation because package installation runs code on your machine; this is expected for a Python CLI but worth user caution.
Credentials
The skill declares no required env vars, credentials, or config paths. The operations described (network fetches, local config files) align with that. No suspicious environment access is requested.
Persistence & Privilege
always is false and the skill is user-invocable. There is no install-time behavior or persistent privileges requested by the skill itself (it's instruction-only).
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install news-fetcher - 安装完成后,直接呼叫该 Skill 的名称或使用
/news-fetcher触发 - 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
v0.1.8
Release v0.1.8 - Published from GitHub Actions
v0.1.7
Release v0.1.7 - Published from GitHub Actions
v0.1.6
Release v0.1.6 - Published from GitHub Actions
v0.1.5
Release v0.1.5 - Published from GitHub Actions
v0.1.4
Release v0.1.4: real-world fixes, corrected CLI/docs, and self-contained install instructions for agents via tagged GitHub source
v0.1.3
Release v0.1.3 - Fix version consistency, add automated release workflow, comprehensive Quick Start guide
v0.1.2
Fix: Update homepage to actual GitHub repo, add source links, and pin package version for security
v0.1.1
Initial release of news-fetcher skill
元数据
常见问题
.Publish Temp 是什么?
Install, configure, validate, and run the news-fetcher Python CLI for aggregating RSS/Atom and HTML news sources with deduplication, clustering, ranking, sou... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 582 次。
如何安装 .Publish Temp?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install news-fetcher」即可一键安装,无需额外配置。
.Publish Temp 是免费的吗?
是的,.Publish Temp 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
.Publish Temp 支持哪些平台?
.Publish Temp 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 .Publish Temp?
由 miniade(@miniade)开发并维护,当前版本 v0.1.8。
推荐 Skills