lixingfeng

SiliconFlow Qwen Vision

AI Agentv0.2.0
By lixingfengUpdated 2026-05-112 versions · latest released 2026-03-13siliconflow-qwen-vision@clawhub_tomlee2013/siliconflow-qwen-vision
Tool Use

According to AlphaMoat, as of 2026-09, SiliconFlow Qwen Vision has 1,394 downloads and 0 stars — ranked #4,837 of 5,078 AI skills overall, and #928 of 969 in AI Agent.

Installs
188
Downloads
1.4K
Stars
-
Overall Rank
#4,837
Top 96% overall · Top 96% in AI Agent
PlatformInstallsDownloadsStarsComments
ClawHub ↗301.1K--
SkillHub ↗1881.4K-—

Platforms count differently and update at different times.

What this skill does

The Python analysis script accepts an image path and prompt for object, scene or screenshot interpretation and can write a text result to a chosen output path. Set OPENAI_API_KEY to a SiliconFlow API key for this workflow; the environment variable name does not mean the request goes to OpenAI. Selected images and prompts are sent to SiliconFlow, so use sensitive material only after the provider’s data terms are approved. Review generated descriptions rather than treating them as verified observations.

Profile published 2026-10-27

What you can do with it

  • question answering about an approved image

When to use it

  • When you need question answering about an approved image.

Example prompts

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

Describe the visible objects in this nonconfidential image and flag uncertain interpretations.

Monthly Trend

Downloads1.4K
5139861.5K2026-03 · Downloads 5782026-05 · Downloads 9212026-06 · Downloads 9872026-07 · Downloads 1.1K2026-08 · Downloads 1.2K2026-09 · Downloads 1.4K26-0326-09
Stars-
0112026-03 · Stars -2026-05 · Stars -2026-06 · Stars -2026-07 · Stars -2026-08 · Stars -2026-09 · Stars -26-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-091.4K—-
2026-081.2K+6.4%-
2026-071.1K+12.4%-
2026-06987+7.2%-
2026-05921—-
2026-03578—-

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.

1.3 KB · ClawHub v0.2.0
---
name: siliconflow-qwen-vision
description: 图片理解与分析。当用户需要分析图片内容、识别图片中的物体、描述图片场景、理解图片含义时使用此技能。支持图片问答、物体识别、场景描述等。
---

# 图片理解 (SiliconFlow Qwen2.5-VL)

使用 SiliconFlow 的 Qwen2.5-VL 模型进行图片分析理解。

## 环境配置
Show all (44 lines)

- 需要设置 `OPENAI_API_KEY` 环境变量 (SiliconFlow API Key,即 OpenAI 格式的 API Key)
- 或使用 `--api-key` 参数直接传入 API Key

## 使用方法

```bash
cd siliconflow-qwen-vision
python scripts/analyze_image.py -i /path/to/image.jpg -p "请描述这张图片"
```

## 参数说明

- `-i, --image`: 图片路径 (必需)
- `-p, --prompt`: 提示词,默认 "请描述这张图片"
- `-k, --api-key`: API Key (可选,默认从环境变量读取)
- `-o, --output`: 输出文件路径 (可选)

## 示例

```bash
# 描述图片内容
python scripts/analyze_image.py -i photo.jpg -p "这张图片里有什么?"

# 识别物体
python scripts/analyze_image.py -i photo.jpg -p "图片中有哪些物体?"

# 分析场景
python scripts/analyze_image.py -i photo.jpg -p "描述这个场景"

# 保存结果到文件
python scripts/analyze_image.py -i photo.jpg -p "详细描述图片" -o result.txt
```

Popular in AI Agent

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