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iib国际银行

Agent Skill

iib 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

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CodexClaudeCursorGemini CLI

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

unknown

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:iib(国际银行)
来源仓库:https://github.com/zanllp/infinite-image-browsing
仓库路径:skills/iib
安装命令:
npx skills add https://github.com/zanllp/infinite-image-browsing --skill iib
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/zanllp/infinite-image-browsing --skill iib

简介

iib 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于需要根据关键词或任务场景从来源线索中提取信息的场景。
  • 通过关键词、任务场景或来源线索进行信息检索与筛选。
  • 安装前建议确认权限范围、维护状态及是否触发联网或命令执行。
  • 可结合来源仓库和原始 README 进一步核验具体用法。

SKILL.md

IIB (Infinite Image Browsing)

IIB is an image/video browsing and management tool that parses metadata from AI generation tools (Stable Diffusion, ComfyUI, etc.).


Quick Links to Detailed Guides

TopicDescription
API ReferenceComplete API endpoint documentation
Search StrategiesMulti-word, regex, tag combination searches
Agent PatternsCommon workflows and decision trees

Before You Start

IMPORTANT: Always do these two things first:

  1. Ask the user for the port if they started the service themselves (common ports: <port> standalone, 7860 SD WebUI extension)
  2. Test connectivity with a hello request before any other operation
curl --noproxy "*" -s http://127.0.0.1:<PORT>/infinite_image_browsing/hello
# Returns: "hello" if service is running

Note: Use --noproxy "*" to bypass proxy for localhost connections.

If service is not running, start it:

cd /path/to/sd-webui-infinite-image-browsing
python app.py --port <port>

To run as a background daemon:

nohup python app.py --port <port> > iib.log 2>&1 &

Quick Reference

TaskMethodEndpoint
Search imagesPOST/db/search_by_substr
Search by tagsPOST/db/match_images_by_tags
Random imagesGET/db/random_images
List folderGET/files?folder_path=...
Move filesPOST/move_files
Copy filesPOST/copy_files
Tag imagesPOST/db/batch_update_image_tag
Get image metadataGET/image_geninfo?path=...
Add library pathPOST/db/extra_paths
Remove library pathDELETE/db/extra_paths

Base URL: http://127.0.0.1:<port>/infinite_image_browsing

Core Operations

Search Images

Basic Keyword Search

Search by keyword in file path or generation parameters:

curl -X POST http://127.0.0.1:<port>/infinite_image_browsing/db/search_by_substr \
  -H "Content-Type: application/json" \
  -d '{"surstr": "landscape", "size": 50}'

Advanced Search

For complex searches (multi-word, regex patterns, tag combinations), see Search Strategies.

Quick tips:

  • Multi-word searches? Use regex OR: (word1|word2)
  • Need tag combinations? Use /db/match_images_by_tags with AND/OR/NOT logic
  • See Search Strategies for detailed strategies

Limit to Specific Folders

curl -X POST http://127.0.0.1:<port>/infinite_image_browsing/db/search_by_substr \
  -H "Content-Type: application/json" \
  -d '{"surstr": "portrait", "folder_paths": ["/path/to/folder"], "size": 50}'

Response:

{
  "files": [{"fullpath": "/path/to/image.png", "name": "image.png", "size": "1.2 MB", ...}],
  "cursor": {"has_next": true, "next": "cursor_string"}
}

Tag Management

Get all tags:

curl http://127.0.0.1:<port>/infinite_image_browsing/db/basic_info
# Response includes: {"tags": [{"id": 1, "name": "favorites", "type": "custom"}, ...]}

Create a tag:

curl -X POST http://127.0.0.1:<port>/infinite_image_browsing/db/add_custom_tag \
  -H "Content-Type: application/json" \
  -d '{"tag_name": "favorites"}'

Tag multiple images:

curl -X POST http://127.0.0.1:<port>/infinite_image_browsing/db/batch_update_image_tag \
  -H "Content-Type: application/json" \
  -d '{"img_paths": ["/path/to/img1.png", "/path/to/img2.png"], "action": "add", "tag_id": 1}'

Search by tags (AND/OR/NOT logic):

curl -X POST http://127.0.0.1:<port>/infinite_image_browsing/db/match_images_by_tags \
  -H "Content-Type: application/json" \
  -d '{"and_tags": [1], "or_tags": [], "not_tags": [2], "cursor": "", "size": 50}'

File Operations

List folder contents:

curl "http://127.0.0.1:<port>/infinite_image_browsing/files?folder_path=/path/to/images"

Move files:

curl -X POST http://127.0.0.1:<port>/infinite_image_browsing/move_files \
  -H "Content-Type: application/json" \
  -d '{"file_paths": ["/path/to/img1.png"], "dest": "/new/folder", "create_dest_folder": true}'

Copy files:

curl -X POST http://127.0.0.1:<port>/infinite_image_browsing/copy_files \
  -H "Content-Type: application/json" \
  -d '{"file_paths": ["/path/to/img1.png"], "dest": "/backup/folder", "create_dest_folder": true}'

Delete files:

curl -X POST http://127.0.0.1:<port>/infinite_image_browsing/delete_files \
  -H "Content-Type: application/json" \
  -d '{"file_paths": ["/path/to/unwanted.png"]}'

Image Metadata

Get generation parameters (prompt, seed, model, etc.):

curl "http://127.0.0.1:<port>/infinite_image_browsing/image_geninfo?path=/path/to/image.png"

Batch get metadata:

curl -X POST http://127.0.0.1:<port>/infinite_image_browsing/image_geninfo_batch \
  -H "Content-Type: application/json" \
  -d '{"paths": ["/path/to/img1.png", "/path/to/img2.png"]}'

Library Management

List registered paths:

curl http://127.0.0.1:<port>/infinite_image_browsing/db/extra_paths

Add a folder to library:

curl -X POST http://127.0.0.1:<port>/infinite_image_browsing/db/extra_paths \
  -H "Content-Type: application/json" \
  -d '{"path": "/new/image/folder", "types": ["scanned"]}'

Remove a folder (also cleans up orphaned image records):

curl -X DELETE http://127.0.0.1:<port>/infinite_image_browsing/db/extra_paths \
  -H "Content-Type: application/json" \
  -d '{"path": "/old/folder", "types": ["scanned"]}'

Rebuild index after adding paths:

curl -X POST http://127.0.0.1:<port>/infinite_image_browsing/db/rebuild_index

Path types:

  • scanned: Indexed, appears in search results
  • scanned-fixed: Like scanned, but pinned in UI
  • walk: Browse only, not indexed

AI Features

Smart File Organization

Automatically organize images into themed folders:

# Start organization job
curl -X POST http://127.0.0.1:<port>/infinite_image_browsing/db/organize_files_start \
  -H "Content-Type: application/json" \
  -d '{
    "folder_paths": ["/messy/folder"],
    "dest_folder": "/organized/folder",
    "threshold": 0.85,
    "lang": "en",
    "action": "move"
  }'
# Returns: {"job_id": "uuid"}

# Check status
curl "http://127.0.0.1:<port>/infinite_image_browsing/db/organize_files_status?job_id=<job_id>"

# Confirm and execute
curl -X POST http://127.0.0.1:<port>/infinite_image_browsing/db/organize_files_confirm \
  -H "Content-Type: application/json" \
  -d '{"job_id": "<job_id>"}'

Image Clustering

Analyze images and group by semantic similarity:

curl -X POST http://127.0.0.1:<port>/infinite_image_browsing/db/cluster_iib_output_job_start \
  -H "Content-Type: application/json" \
  -d '{
    "folder_paths": ["/path/to/images"],
    "threshold": 0.85,
    "min_cluster_size": 3,
    "lang": "en",
    "recursive": true
  }'

Reference

See references/api-reference.md for complete API documentation.

Viewing Images

When helping users view images, always provide BOTH:

  1. A link to view the first/selected image
  2. A link to the search results page showing all matching images

Image Search Results

When a user searches for images (by keyword, tag, etc.):

  1. Provide a summary: Show how many images were found
  2. First image link: Use the quick view URL for the first result
  3. Search results page link: Use the fuzzy-search or tag-search pane URL

Example response format:

Found 150+ images matching "sunset":

[View First Image](http://127.0.0.1:<port>/infinite_image_browsing?action=view&path=/first/image.png)

[View All Results in IIB](http://127.0.0.1:<port>/infinite_image_browsing?action=pane&type=fuzzy-search&props=%7B%22substr%22%3A%22sunset%22%7D)

| # | Name | Path | Size |
|---|------|------|------|
| 1 | image1.png | /folder | 1.2 MB |
| 2 | image2.png | /folder | 1.1 MB |
...

Note: The search results page link includes the search term in the URL, so it will automatically display the matching results when opened.

Building Shareable URLs

When generating URLs for users to open in their browser, you need to properly encode the props parameter (JSON URL-encoded).

URL Format:

http://127.0.0.1:<port>/infinite_image_browsing?action=pane&type=<pane_type>&props=<url_encoded_json>

Encoding the props: The props parameter must be URL-encoded JSON. Use this encoding method:

JSON PropsURL EncodedNotes
{"substr":"sunset"}%7B%22substr%22%3A%22sunset%22%7DStandard encoding
`{"substr":"(词1\词2)","isRegex":true}`%7B%22substr%22%3A%22(%E8%AF%8D1%7C%E8%AF%8D2)%22%2C%22isRegex%22%3Atrue%7DChinese chars encoded
`{"substr":"a\b","isRegex":true}`%7B%22substr%22%3A%22(a%7Cb)%22%2C%22isRegex%22%3Atrue%7DPipe `\ encoded as %7C`

Common URL patterns:

Use CaseURL Pattern
Simple keyword search?action=pane&type=fuzzy-search&props=%7B%22substr%22%3A%22keyword%22%7D
Regex OR search?action=pane&type=fuzzy-search&props=%7B%22substr%22%3A%22(word1%7Cword2)%22%2C%22isRegex%22%3Atrue%7D
Search in folder?action=pane&type=fuzzy-search&props=%7B%22substr%22%3A%22keyword%22%2C%22searchScope%22%3A%22%2Fpath%22%7D
View single image?action=view&path=/path/to/image.png

Tip: When generating URLs with non-ASCII characters (Chinese, Japanese, etc.), use proper URL encoding (UTF-8 percent encoding).

Example: Multi-word search with regex (Chinese)

# Search for "太空电梯" OR "三体"
# JSON: {"substr":"(太空电梯|三体)","isRegex":true}
# Encoded: %7B%22substr%22%3A%22(%E5%A4%AA%E7%A9%BA%E7%94%B5%E6%A2%AF%7C%E4%B8%89%E4%BD%93)%22%2C%22isRegex%22%3Atrue%7D
?action=pane&type=fuzzy-search&props=%7B%22substr%22%3A%22(%E5%A4%AA%E7%A9%BA%E7%94%B5%E6%A2%AF%7C%E4%B8%89%E4%BD%93)%22%2C%22isRegex%22%3Atrue%7D

Available View Options

1. Quick View (Single Image)

http://127.0.0.1:<port>/infinite_image_browsing?action=view&path=/path/to/image.png

Opens IIB directly to the image in fullscreen preview.

2. Keyword Search Page

http://127.0.0.1:<port>/infinite_image_browsing?action=pane&type=fuzzy-search

Opens the keyword search page where users can search.

With pre-filled search term:

http://127.0.0.1:<port>/infinite_image_browsing?action=pane&type=fuzzy-search&props=%7B%22substr%22%3A%22sunset%22%7D

Automatically searches for "sunset" when opened.

Available props for fuzzy-search (URL → Component mapping):

URL PropComponent PropTypeDescription
substrinitialSubstrstringSearch keyword or regex pattern
isRegexinitialIsRegexbooleanUse regex mode (default: false)
searchScopesearchScopestringFolder path to limit search
pathOnlyinitialPathOnlybooleanSearch only file paths (default: false)
mediaTypeinitialMediaTypestringFilter by media type: "all", "image", "video"
autoSearchautoSearchbooleanAuto-trigger search (default: true when substr is set)

Note: Use the URL prop names (left column) when constructing URLs. The component prop names (middle column) are for internal use.

Examples:

# Regex search for multiple keywords (OR logic)
?action=pane&type=fuzzy-search&props=%7B%22substr%22%3A%22(sunset%7Csunrise%7Cdawn)%22%2C%22isRegex%22%3Atrue%7D

# Search in specific folder
?action=pane&type=fuzzy-search&props=%7B%22substr%22%3A%22portrait%22%2C%22searchScope%22%3A%22%2Foutputs%22%7D

# Search images only
?action=pane&type=fuzzy-search&props=%7B%22substr%22%3A%22landscape%22%2C%22mediaType%22%3A%22image%22%7D

3. Tag Search Page

http://127.0.0.1:<port>/infinite_image_browsing?action=pane&type=tag-search

Opens the tag search page for filtering by tags.

4. Tag Search Results (Pre-filtered)

http://127.0.0.1:<port>/infinite_image_browsing?action=pane&type=tag-search-matched-image-grid&props=%7B%22selectedTagIds%22%3A%7B%22and_tags%22%3A%5B1%2C2%5D%7D%7D%7D

Shows images matching specific tags (replace tag IDs with actual values).

5. Image Comparison

http://127.0.0.1:<port>/infinite_image_browsing?action=pane&type=img-sli&props=%7B%22left%22%3A%7B%22fullpath%22%3A%22%2Fa.png%22%7D%2C%22right%22%3A%7B%22fullpath%22%3A%22%2Fb.png%22%7D%7D

Compare two images side by side.

Note: The props parameter must be URL-encoded JSON.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

33.23%
按下载量换算37

Claude

30%
按下载量换算33

Cursor

19.93%
按下载量换算22

Gemini CLI

10.04%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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