TriDefender

GLM Multimodal Analyzer

AI Agentv1.0.0
By TriDefenderUpdated 2026-05-18multimodal@clawhub_tridefender/multimodal
Tool Use#文档

According to AlphaMoat, as of 2026-09, GLM Multimodal Analyzer has 1,661 downloads and 0 stars — ranked #4,667 of 5,078 AI skills overall, and #910 of 969 in AI Agent.

Installs
144
Downloads
1.7K
Stars
-
Overall Rank
#4,667
Top 92% overall · Top 94% in AI Agent
PlatformInstallsDownloadsStarsComments
ClawHub ↗441.5K-2
SkillHub ↗1441.7K-—

Platforms count differently. AlphaMoat’s totals use the higher figure across platforms, not the sum.

What this skill does

An analysis script handles image questions, video summaries and PDF or table content, with thinking and streaming options. The source limits each request to one modality and requires publicly accessible video URLs.

Profile published 2026-10-26

What you can do with it

  • Ask questions about visual or document content

When to use it

  • When one input type needs analysis through this model

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Summarize this PDF and its main tables

Requirements

Compiled from what the skill’s documentation declares; not verified by installing or running it.

Authentication
API key
Authentication notes
Set the ZHIPU_API_KEY environment variable.
Required environment variables
ZHIPU_API_KEY
Required command-line tools
python

Monthly Trend

Installs144
77113149Current methodLegacy method2026-03 · Installs 82 (Legacy method)2026-05 · Installs 144 (Legacy method)2026-07 · Installs 144 (Legacy method)2026-08 · Installs 144 (Legacy method)2026-09 · Installs 14426-0326-09
Downloads1.7K
4001.1K1.8KCurrent methodLegacy method2026-03 · Downloads 493 (Legacy method)2026-05 · Downloads 1.0K (Legacy method)2026-07 · Downloads 1.4K (Legacy method)2026-08 · Downloads 1.5K (Legacy method)2026-09 · Downloads 1.7K26-0326-09
Stars-
-11Current methodLegacy method2026-03 · Stars - (Legacy method)2026-05 · Stars - (Legacy method)2026-07 · Stars - (Legacy method)2026-08 · Stars - (Legacy method)2026-09 · Stars -26-0326-09

From 2026-09 the figures use the current method (full catalog). Earlier months use the legacy method (only skills with installs, same-name skills merged). The two are not directly comparable, so the chart does not connect them or compute growth across them.

MonthDownloadsMoMStarsInstalls
2026-091.7K—-144
2026-08Legacy method1.5K+5.7%-144
2026-07Legacy method1.4K—-144
2026-05Legacy method1.0K—-144
2026-03Legacy method493—-82

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

Show original (1.2 KB · ClawHub v1.0.0)
---
name: Multimodal Analyzer
slug: multimodal
version: 1.0.0
description: 使用GLM-4.6V模型进行多模态内容理解(图片、视频、文档)
---

# Multimodal Understanding Skill

使用智谱GLM-4.6V模型理解图片、视频、文档内容。

## 功能

- 图片理解:OCR、场景分析、物体检测、属性识别
- 视频理解:内容摘要、关键帧分析
- 文档理解:PDF、复杂表格解析
- 深度思考模式:开启后进行深层推理分析

## 使用方式

```
理解这张图片:[图片URL或本地路径]
分析这个视频:[视频URL]
这个PDF讲什么:[PDF URL]
```

## 技术细节

- 模型:GLM-4.6V (106B, 128K上下文)
- API端点:https://open.bigmodel.cn/api/paas/v4/chat/completions
- 需要ZHIPU_API_KEY环境变量

## 限制

- 不支持同时处理图片+视频+文件(只能选一种模态)
- 视频URL需要公网可访问

## 调用脚本

调用 `scripts/analyze.py` 进行分析:

```bash
python scripts/analyze.py --type image|video|file --input <url_or_path> --prompt "你的问题"
```

参数:
- `--type`: 输入类型 (image/video/file)
- `--input`: URL或本地文件路径
- `--prompt`: 分析提示词
- `--thinking`: 启用深度思考模式
- `--stream`: 流式输出
Other files archived by AlphaMoat (fetched selectively, may be incomplete)
  • package.json · 470 B
  • skill-card.md · 1.9 KB

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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.