ClawHub

Hfmirror Trending

v1.0.0

通过 HF-Mirror 公开 API 获取 Hugging Face 实时热门趋势，并生成结构化中文 Markdown 报告。适用于各种对话式 AI 代理。

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byshunshiwei@ddongcui

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for ddongcui/hfmirror-trending.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Hfmirror Trending" (ddongcui/hfmirror-trending) from ClawHub.
Skill page: https://clawhub.ai/ddongcui/hfmirror-trending
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install hfmirror-trending

ClawHub CLI

Package manager switcher

npx clawhub@latest install hfmirror-trending
Security Scan
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OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
Name/description claim to fetch HF-Mirror trending data; included script and instructions only access https://hf-mirror.com/api/trending and produce a Markdown report — this matches the stated purpose.
✓
Instruction Scope
SKILL.md directs the agent to run scripts/summarize.py --fetch which fetches the public API, parses JSON, and writes a Markdown file. The script does not read unrelated system files or environment variables.
✓
Install Mechanism
No install spec provided; the skill is instruction+script only and uses Python standard library; nothing is downloaded or installed at runtime.
✓
Credentials
No environment variables, credentials, or config paths are requested. The script uses only network access to hf-mirror.com which is necessary for its function.
✓
Persistence & Privilege
Skill is not always-enabled and does not modify other skills or system-wide settings. It writes only its own output Markdown when invoked.
Assessment
This skill appears coherent and limited: it only fetches a public HF-Mirror endpoint and generates a Markdown report. Review the script if you want to confirm behavior (it uses urllib and writes a single output file). Consider the usual operational cautions: allow network access only if you trust hf-mirror.com, run the script in a sandboxed environment if you are worried about write permissions, and verify the agent's invocation scope if you do not want autonomous periodic fetches.

Like a lobster shell, security has layers — review code before you run it.

latestvk971m7dqyjydz40nrds2yv9851845ff8
109downloads
1stars
1versions
Updated 3w ago
v1.0.0
MIT-0
shunshiwei@ddongcui
latest
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hfmirror_trending (跨平台通用版)

此 Skill 使 AI 代理能够自主获取并解析 HF-Mirror (hf-mirror.com) 的实时热点趋势。

数据来源说明：本 Skill 调用 https://hf-mirror.com/api/trending —— 这是 HF-Mirror 提供的公开、免登录 REST API，无需任何 Token 或账号授权，不涉及任何登录后数据抓取或绕过访问限制的行为。

适用场景

当用户发起关于 Hugging Face 或者是huggingface mirror最近热门模型、数据集或项目的询问时。例如：

  • “最近有哪些模型比较流行？”
  • “hugging face上最近比较火的模型有哪些？”
  • “推送今天的huggingface mirror热榜。”
  • “帮我解析一下 HF-Mirror 的趋势。”

代理工作流 (Agent Workflow)

AI 代理在处理上述指令时，应遵循以下通用的端到端逻辑：

  1. 自动拉取与解析: 代理应调用本 Skill 根目录下的处理脚本，利用其内置的网络请求功能。

    python scripts/summarize.py --fetch [out_path.md]

    注意：脚本兼容 Python 3，可以在 Windows (PowerShell/CMD)、Linux (Shell) 或 macOS 环境下直接运行。

  2. 精美报告生成: 脚本会自动从 https://hf-mirror.com/api/trending 抓取 JSON，并直接生成结构化的中文 Markdown。

  3. 智能推送: 代理读取生成的文件内容，并将其作为精美的消息推送给用户。

核心设计 (跨平台与环境解耦)

  • 路径无关: 代理应根据其所在的环境，通过相对路径或 Skill 环境配置来定位 scripts/summarize.py。
  • 零依赖: 脚本仅使用 Python 3 标准库（json, urllib, os, sys），无需安装任何第三方包，在最精简的容器或 CLI 环境中亦可直接运行。
  • 动态抓取: 内置 --fetch 参数，消除了手动准备中间文件的需求，实现了从 API 到报告的一键转化。
  • 合规访问: 使用具名 User-Agent (hfmirror-trending-skill/1.0) 标识请求来源，遵循公开 API 最佳实践。

核心输出字段说明

  • 模型 ID: 唯一的模型标识符。
  • 下载量与点赞数: 反映社区热度。
  • 参数规模: 自动换算（如 7B, 27B），帮助用户评估部署成本。
  • 任务标签: 区分 ASR, TTS, OCR 等不同 AI 领域。

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