Agent skill · Audited from source

image-analysis

skill · countbot-ai/countbotMIT licenceAudited 21 Oct 2026 · source 1eb0d6a5abc4

★ 784pushed 10 days ago
✓SAFEGrade B · 89/100 · 21 Oct 2026 · 1eb0d6a
784repo stars · whole countbot-ai/countbot

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 1eb0d6a5abc4 and observed network access and no hard-coded secrets. What it does: 图片分析与识别,可分析本地图片、网络图片、视频、文件。适用于 OCR、物体识别、场景理解等。当用户发送图片或要求分析图片时必须使用此技能。

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Cite this page

ModelsAtlas. “image-analysis (countbot-ai/countbot)”. Retrieved 21 Oct 2026. https://modelsatlas.com/skills/countbot-ai/image-analysis

Trust audit

Audit 0.4.1 · source read 21 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkDeclared2 observations
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codePASS0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 1eb0d6a5abc4 · 21 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publishercountbot-ai GitHub userOwner of the repository this skill is read from
  • Source foldercountbot-ai/countbot/workspace/skills/image-analysisThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict1eb0d6a5abc4A new audit runs when the source changes
  • Repository statusNot archivedLast push 10 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: 图片分析与识别,可分析本地图片、网络图片、视频、文件。适用于 OCR、物体识别、场景理解等。当用户发送图片或要求分析图片时必须使用此技能。

---
name: image-analysis
description: 图片分析与识别,可分析本地图片、网络图片、视频、文件。适用于 OCR、物体识别、场景理解等。当用户发送图片或要求分析图片时必须使用此技能。
homepage: https://github.com/countbot-ai/CountBot
---

# 图片分析与识别

支持智谱 GLM-4V 和千问 Qwen-VL 两种视觉模型。

当用户发送图片或要求分析图片时,必须使用此技能,不要使用 PIL、pytesseract 等其他方法。

## 配置

编辑 `skills/image-analysis/scripts/config.json`:

```json
{
  "default_model": "zhipu",
  "zhipu": {
    "api_key": "your-zhipu-api-key",
    "model": "glm-4.6v-flash"
  },
  "qwen": {
    "api_key": "your-qwen-api-key",
    "model": "qwen3-vl-plus"
  }
}
```

API Key 获取:
- 智谱(免费):https://open.bigmodel.cn/
- 千问:https://help.aliyun.com/zh/model-studio/get-api-key

## 命令行调用

```bash
# 分析本地图片(最常用)
python3 skills/image-analysis/scripts/vision.py analyze --image 图片路径 --prompt "描述图片内容"

# 分析网络图片
python3 skills/image-analysis/scripts/vision.py analyze --image https://example.com/image.jpg --prompt "描述图片"

# 多图对比
python3 skills/image-analysis/scripts/vision.py analyze --image img1.jpg --image img2.jpg --prompt "对比差异"

# 指定模型
python3 skills/image-analysis/scripts/vision.py analyze --image image.jpg --prompt "描述图片" --model qwen

# 开启思考模式(仅智谱,提升准确度)
python3 skills/image-analysis/scripts/vision.py analyze --image image.jpg --prompt "详细分析" --thinking

# 视频分析
python3 skills/image-analysis/scripts/vision.py analyze --video video.mp4 --prompt "总结视频内容"

# JSON 输出
python3 skills/image-analysis/scripts/vision.py analyze --image image.jpg --prompt "描述图片" --json
```

## AI 调用场景

用户发送图片后,系统下载到本地(如 `data/temp/images/xxx.jpg`):

```bash
# 图片描述
python3 skills/image-analysis/scripts/vision.py analyze --image data/temp/images/xxx.jpg --prompt "描述这张图片的内容"

# OCR 识别
python3 skills/image-analysis/scripts/vision.py analyze --image data/temp/images/xxx.jpg --prompt "提取图片中的所有文字信息"

# 物体定位(开启思考模式)
python3 skills/image-analysis/scripts/vision.py analyze --image data/temp/images/xxx.jpg --prompt "找出物体位置,返回坐标" --thinking
```

## 模型选择

| 场景 | 推荐 |
|------|------|
| 简单描述 | 任意 |
| 复杂推理、物体定位 | 智谱 + `--thinking` |
| 高精度识别、文档解析 | 千问 |
| 成本敏感 | 智谱(免费) |

## 注意事项

- 本地图片自动转 Base64,支持 jpg/png/gif/webp/bmp
- 智谱图片限制 5MB,像素不超过 6000x6000
- 千问不支持同时处理图片、视频和文件
- 思考模式会增加响应时间但提升准确度

Excerpt, first 2,125 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 1eb0d6a

Download folder ↗
git clone https://github.com/countbot-ai/countbot
git -C countbot checkout 1eb0d6a5abc4

The author documents no install command, so this uses the repository directly. Our verdict covers commit 1eb0d6a5abc4 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 1eb0d6a5abc4

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Questions about image-analysis

What does the image-analysis skill do?
更适配中文用户的轻量开源AI Agent | 国产大模型Coding plan支持 | 兼容OpenClaw Skills生态| 已接入微信ClawBot/微博龙虾/飞书/钉钉/QQ/小智AI/Telegram/deepseek-v4。
Is image-analysis safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can image-analysis access on my machine?
The audit observed that it reaches the network. Each of those is consistent with what it says it does. Secrets in the source: none found.
How current is this page?
The grade is for one exact copy of the source (1eb0d6a5abc4), read on 2026-10-21. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

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