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vajravajra 分析

Agent Skill

vajra 用于辅助视频、动画、脚本化剪辑和多媒体生成流程,适合在 OpenClaw 中需要整理视频素材、生成脚本或维护合成项目时使用。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

16,676

周安装

709

GitHub Stars

2

下载量

5,842
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:vajra(vajra 分析)
来源仓库:https://github.com/minhyeong112/vajra
安装命令:
openclaw skills install vajra
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 vajra

简介

分析 URL、YouTube 视频、推文或文本的事实准确性与信息偏差。

  • 适用于新闻核查、社交媒体监控与内容可靠性评估场景。
  • 输出质量评分与可疑点标注,支持多源交叉验证建议。
  • 安装命令为 openclaw skills install vajra,需绑定 vajra.to API 密钥。
  • 算法模型可能存在误判,最终结论应以权威信源为准。

SKILL.md

name
vajra
description
Analyze URLs, YouTube videos, tweets, or text for quality, bias, and reliability using the Vajra API (vajra.to). Use when the user asks to fact-check, analyze, evaluate, score, or assess the quality/bias/reliability of any web content, article, video, tweet, or text. Also use when asked to "vajra" something or run content through a signal filter.
metadata

Vajra - Signal Filter for the Internet

Vajra is a content-analysis API by Humanity Labs. It scores content for epistemic quality (1-10), detects bias, extracts key takeaways, flags questionable claims, and produces structured verdicts.

Privacy and Data Handling

Important: This skill sends content to the Vajra API at https://www.vajra.to. Before using it:

  • Content you submit (URLs, text) is transmitted to Vajra's servers for analysis.
  • Analyzed content is cached server-side. If another user submits the same URL, they receive the cached result (0 credits). The original text you submit is not stored -- only the analysis output.
  • Every analysis generates a public permalink (e.g. vajra.to/a/ID). These are shareable and publicly accessible.
  • Do not submit private, proprietary, or personally identifiable content unless you understand and accept this behavior.
  • Vajra's privacy policy and terms are available at vajra.to.

Setup

An API key is required. Get one free at vajra.to/dashboard (Connections tab).

The key must be stored as the environment variable VAJRA_API_KEY. The agent will be prompted to set this during installation.

Analyze Content

curl -s -X POST https://www.vajra.to/api/analyze \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $VAJRA_API_KEY" \
  -d '{"content": "URL_OR_TEXT", "type": "url"}'

Set type to "text" for raw text (max 50,000 chars). Default is "url".

Supported content: articles, YouTube videos, X/Twitter posts, and raw text.

Parse the Response

The response JSON contains:

success        - boolean
cached         - boolean (0 credits if true)
credits_used   - 0 or 1
url            - permalink to full report (e.g. https://www.vajra.to/a/UUID)
analysis.title - content title
analysis.quality_score - 1-10 rating
analysis.bias_level    - bias assessment
analysis.markdown      - full report in markdown
analysis.metadata.tldr - one-sentence summary
analysis.metadata.verdict      - reliability assessment
analysis.metadata.key_takeaways - array of takeaways
analysis.metadata.warnings      - array of warnings

Present Results

When showing results to the user, format as:

**Title** - Quality: X/10
TLDR: [tldr]
Verdict: [verdict]
Key takeaways: [list]
Warnings: [list if any]
Full report: [permalink url]

Retrieve Existing Analysis

Fetch a previously completed analysis by ID (no auth needed, public endpoint):

curl -s https://www.vajra.to/api/analysis/ANALYSIS_ID

Credits and Pricing

  • Cached results cost 0 credits (same URL already analyzed by any user)
  • Free tier: 5 analyses/month
  • Pro: 100 analyses/month ($12/mo or $79/yr)
  • Analyses take 10-60 seconds depending on content length

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

83.64%
按下载量换算4,886

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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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