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photosphotos 搜索

Agent Skill

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

总安装

42,252

周安装

1,726

GitHub Stars

2

下载量

13,670
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:photos(photos 搜索)
来源仓库:https://github.com/ivangdavila/photos
安装命令:
openclaw skills install photos
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 photos

简介

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。

  • 适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。
  • 通过 openclaw skills install photos 命令安装。
  • 使用时需要确认输入图片、版权来源、输出格式和模型限制。
  • 涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

SKILL.md

name
Photos
description
Organize, index, and search local photo libraries with AI-powered metadata and safe file handling.
metadata
{"clawdbot":{"emoji":"🖼️","requires":{"bins":["exiftool"]},"os":["linux","darwin","win32"]}}

Safety First

  • Never delete photos directly — move to .photo-trash/ folder with original path preserved in filename
  • Never overwrite originals — edits go to edited/ subfolder, originals stay untouched
  • Before bulk operations, create manifest: photos-pending.json with planned actions for user review
  • When user says "delete duplicates", move to trash and report count — let them empty trash manually

Indexing Strategy

  • Create .photo-index/ in library root with one JSON sidecar per photo
  • Sidecar filename: {original-hash}.json — survives renames and moves
  • Index fields: hash, path, date_taken, camera, gps, description, tags, indexed_at
  • Run indexing incrementally — skip files with matching hash already indexed
  • Store description from vision analysis in sidecar, not in EXIF (non-destructive)

Vision Analysis (Token-Efficient)

  • Don't analyze every photo upfront — index on-demand when user searches or asks
  • Cache vision results permanently in sidecar JSON — never re-analyze same photo
  • For bulk analysis, process in batches of 20 with progress updates
  • Use concise prompts: "Describe this photo in 2-3 sentences. List people, objects, location, activity."
  • Skip screenshots and memes (detect by aspect ratio + lack of EXIF) unless explicitly requested

Duplicate Detection

  • Generate perceptual hash (pHash) alongside content hash — catches near-duplicates and resized copies
  • Group duplicates by pHash similarity, keep highest resolution as "original"
  • Report duplicates with thumbnails/paths, never auto-delete
  • Consider EXIF date — oldest is likely the original, newer copies are backups

Search Patterns

  • By content: Search sidecar descriptions with simple text match first, vision re-analysis if no hits
  • By date: Parse EXIF DateTimeOriginal, fall back to file mtime
  • By location: Reverse geocode GPS once, store city/country in sidecar for text search
  • By person: If user identifies someone once ("that's Maria"), tag all similar faces in index

EXIF Handling

  • Read: exiftool -json photo.jpg — returns all metadata as JSON
  • Write date: exiftool -DateTimeOriginal="2024:03:15 14:30:00" photo.jpg
  • Strip GPS before sharing: exiftool -gps:all= photo.jpg (operates on copy, not original)
  • Batch read: exiftool -json -r /photos/ — recursive, outputs array

File Organization

  • Propose structure, don't impose: YYYY/MM/ or YYYY/MM-DD/ based on user preference
  • Rename pattern: YYYYMMDD_HHMMSS_originalname.ext — preserves original name, adds sortable prefix
  • Handle timezone: EXIF dates are local time — ask user's timezone once, store in .photo-index/config.json
  • HEIC to JPEG: sips -s format jpeg input.heic --out output.jpg (macOS) or heif-convert (Linux)

NAS/Remote Libraries

  • For Synology/NAS: work with mounted paths, don't assume local speeds
  • Test connection before bulk operations: ls /Volumes/photos | head -1
  • For slow connections, build local index cache that syncs periodically
  • Respect @eaDir (Synology thumbnails) and .DS_Store — skip in indexing

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

93.78%
按下载量换算12,820

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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