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x-hnx 赫恩

Agent Skill

x-hn 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,945

周安装

204

GitHub Stars

公开资料未说明

下载量

1,616
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:x-hn(x 赫恩)
来源仓库:https://github.com/qiakai/x-hn
安装命令:
openclaw skills install x-hn
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install x-hn

简介

同 x-hacker-news 功能完全一致。

  • 提供黑客新闻内容检索与分析能力。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 适用于技术情报收集和竞品监测。x-hn 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 使用 HN 相关指令即可调用全部特性。
  • 建议控制请求频率防止 IP 被封禁。

SKILL.md

name
hn
description
|
license
MIT
compatibility
POSIX Shell (sh/bash/zsh)
metadata
author
qiakai
version
1.0.4
category
data-analysis
tags
[hackernews, hn, tech-news, ai, programming, developers, software-engineering, machine-learning, open-source, startup]
website
https://www.x-cmd.com/mod/hn
requires
path
~/.x-cmd.root/X
description
x-cmd initialization script (sourced to load x-cmd environment)

x-hacker-news

Fetch and analyze Hacker News content - the premier tech community for developers, AI researchers, and software engineers

IMPORTANT: Before using any x hn command, you MUST load x-cmd first: . ~/.x-cmd.root/X


Cost

[OK] Free - No API key required


Loading x-cmd

Not installed? -> Search and use the x-cmd skill to install x-cmd first

Installed? -> Load x-cmd:

. ~/.x-cmd.root/X

Non-Interactive Usage

Use x hn for direct non-interactive calls:

# Get top stories JSON data
x hn top --json 1,10

# Get specific post details
x hn item --json 43701153

Note: x hn is non-interactive, suitable for scripts and automation. For interactive browsing, use x hn after loading . ~/.x-cmd.root/X.


AI and Machine Learning Discussions

Filter top stories for AI/ML topics using x jq:

# Filter top stories for AI-related titles
x hn top --json 1,100 | x jq '[.[] | select(.title | test("AI|artificial intelligence|machine learning|LLM|ChatGPT"; "i"))]'

# Filter for LLM and model discussions
x hn top --json 1,100 | x jq '[.[] | select(.title | test("GPT|Claude|Llama|neural|model"; "i"))]'

# Filter for AI safety and alignment discussions
x hn top --json 1,100 | x jq '[.[] | select(.title | test("AI safety|alignment|AGI"; "i"))]'

Programming and Development

Filter top stories for programming topics:

# Filter for programming language discussions
x hn top --json 1,100 | x jq '[.[] | select(.title | test("Rust|Go|Python|TypeScript|JavaScript"; "i"))]'

# Filter for web development
x hn top --json 1,100 | x jq '[.[] | select(.title | test("React|Vue|frontend|backend|web"; "i"))]'

# Filter for DevOps and infrastructure
x hn top --json 1,100 | x jq '[.[] | select(.title | test("Kubernetes|Docker|DevOps|cloud"; "i"))]'

# Filter for software engineering topics
x hn top --json 1,100 | x jq '[.[] | select(.title | test("programming|coding|developer|software|GitHub|open source"; "i"))]'

Software Engineering News

Get software engineering and tech industry discussions:

# Filter for startup and business discussions
x hn top --json 1,100 | x jq '[.[] | select(.title | test("startup|Y Combinator|funding|business"; "i"))]'

# Filter for career and hiring topics
x hn top --json 1,100 | x jq '[.[] | select(.title | test("hiring|interview|career|salary|remote"; "i"))]'

# Show Ask HN posts (often career/business discussions)
x hn ask --json 1,20

# Show Show HN posts (new projects/tools)
x hn show --json 1,20

Story Lists

Get various story lists:

# Get top stories (items 1-10)
x hn top --json 1,10

# Get items 11-20
x hn top --json 11,20

# Other types
x hn new --json 1,10
x hn best --json 1,10
x hn ask --json 1,10
x hn show --json 1,10
x hn job --json 1,10

JSON Fields:

{
  "by": "username",           // Author
  "descendants": 161,         // Comment count
  "id": 47392084,             // Post ID
  "kids": [47393177, ...],    // Comment ID list
  "score": 582,               // Points/upvotes
  "time": 1773609736,         // Unix timestamp (seconds)
  "title": "Post Title",      // Title
  "type": "story",            // Type (story/job/etc)
  "url": "https://..."        // URL
}

x jq Processing Examples:

# Extract title and URL
x hn top --json 1,10 | x jq -r '.[] | "\(.title)\	\(.url)"'

# Calculate average score
x hn top --json 1,30 | x jq '[.[].score] | add / length'

# Sort by score
x hn top --json 1,50 | x jq -r '.[] | "\(.score)\	\(.title)"' | sort -rn | head -10

# Top domains statistics
x hn top --json 1,100 | x jq -r '.[].url // empty' | \
    sed -E 's|https?://||; s|/.*||' | sort | uniq -c | sort -rn | head -10

# Formatted briefing output
x hn top --json 1,5 | x jq -r '.[] | "\
[\(.score) points] \(.title)\
Author: @\(.by) | Comments: \(.descendants)\
\(.url)\
"'

# Filter for AI-related stories only
x hn top --json 1,100 | x jq '[.[] | select(.title | test("AI|artificial intelligence|machine learning|LLM|ChatGPT"; "i"))]'

# Filter for programming stories
x hn top --json 1,100 | x jq '[.[] | select(.title | test("programming|coding|developer|software|GitHub"; "i"))]'

Post Details

Get specific post details and comments:

x hn item --json <id>

Examples:

# Get post details
x hn item --json 47392084 | x jq '.[0] | {id, title, by, score, descendants, url}'

# Get comment ID list (first 20)
COMMENT_IDS=$(x hn item --json 47392084 | x jq '.[0].kids[:20] | .[]')

# Fetch each comment content (note: each item request takes time)
for cid in $COMMENT_IDS; do
    x hn item --json "$cid" | x jq -r '[.by, .text[0:100]] | @tsv'
done

Note: Posts with many comments have large data size, consider limiting output or batch processing.


User Info

Get user information:

x hn user --json <username>

Examples:

# Get key user fields (limit output for active users)
x hn user --json dang | x jq '{id, created, karma, submitted: (.submitted | length)}'

# Extract user profile
x hn user --json dang | x jq '{
    username: .id,
    created: .created,
    karma: .karma,
    about: (.about[0:200] // "")
}'

Note: Active users have large data including all submission records, which may cause timeouts. Use x jq to limit output fields.


User hn-index

Calculate user influence metric:

x hn hidx <username>

Output Example:

hn-index: 42

Note: This command fetches all user submissions and may take time for active users.


Caching

x hn module has built-in caching:

# View cache config
x hn cfg cat

# Default cache times
# - Story data: 60 minutes
# - Index data: 30 minutes
# - Cache dir: ~/.x-cmd.root/local/cache/hn/

Command Reference

CommandDescriptionOutput
x hn top --json N,MTop storiesJSON array
x hn new --json N,MNew storiesJSON array
x hn best --json N,MBest storiesJSON array
x hn ask --json N,MAsk HN postsJSON array
x hn show --json N,MShow HN postsJSON array
x hn job --json N,MJob postingsJSON array
x hn item --json <id>Post detailsJSON object
x hn user --json <name>User infoJSON object
x hn hidx <name>hn-indexPlain text

Dependencies

  • x-cmd (required): provides hn module
  • x jq (optional): JSON processing via x-cmd

More: https://x-cmd.com/llms.txt

Entrance for AI agents.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

94.6%
按下载量换算1,529

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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