← 返回 Skills 市场
52yuanchangxing

local-media-cataloger

作者 vx:17605205782 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ pending
396
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install local-media-cataloger
功能描述
Index local photos, videos, and creative assets into a searchable manifest with tags, dates, shoot info, and reuse ideas.
使用说明 (SKILL.md)

Local Media Cataloger

Purpose

Index local photos, videos, and creative assets into a searchable manifest with tags, dates, shoot info, and reuse ideas.

Trigger phrases

  • 整理素材库
  • catalog my media folder
  • 摄影素材归档
  • 视频素材清单
  • asset manifest

Ask for these inputs

  • media folder path
  • tagging rules
  • project or shoot name
  • deliverable types
  • favorite selection criteria

Workflow

  1. Scan files and extract basic metadata such as extension, size, timestamps, and dimensions when available.
  2. Apply consistent tags and generate a manifest CSV/JSON.
  3. Flag near-duplicates for manual review using filename/date heuristics.
  4. Suggest folder structures for archive, selects, exports, and delivery.
  5. Return a catalog summary and reuse opportunities.

Output contract

  • media manifest
  • folder plan
  • duplicate candidates
  • reuse ideas

Files in this skill

  • Script: {baseDir}/scripts/media_manifest.py
  • Resource: {baseDir}/resources/metadata_schema.json

Operating rules

  • Be concrete and action-oriented.
  • Prefer preview / draft / simulation mode before destructive changes.
  • If information is missing, ask only for the minimum needed to proceed.
  • Never fabricate metrics, legal certainty, receipts, credentials, or evidence.
  • Keep assumptions explicit.

Suggested prompts

  • 整理素材库
  • catalog my media folder
  • 摄影素材归档

Use of script and resources

Use the bundled script when it helps the user produce a structured file, manifest, CSV, or first-pass draft. Use the resource file as the default schema, checklist, or preset when the user does not provide one.

Boundaries

  • This skill supports planning, structuring, and first-pass artifacts.
  • It should not claim that files were modified, messages were sent, or legal/financial decisions were finalized unless the user actually performed those actions.

Compatibility notes

  • Directory-based AgentSkills/OpenClaw skill.
  • Runtime dependency declared through metadata.openclaw.requires.
  • Helper script is local and auditable: scripts/media_manifest.py.
  • Bundled resource is local and referenced by the instructions: resources/metadata_schema.json.
安全使用建议
This skill appears to do what it says: it runs a local Python script to produce a manifest. Before installing or running it, do the following: 1) Inspect scripts/media_manifest.py yourself (it's short and readable). 2) Run it on a small, non-sensitive sample folder first (e.g., a test directory) to confirm output format. 3) Be careful to pass the intended media folder path — do NOT point it at root (/) or your whole home directory unless you intend to catalog everything, because the CSV includes absolute paths and timestamps. 4) If you need image/video dimensions, durations, or embedded EXIF tags, note that the bundled script does not extract those; consider extending the script (or using exiftool/ffprobe) before relying on those fields. 5) Keep the generated CSV secure (it may contain sensitive filenames/paths). 6) If you expect the agent to autonomously run this skill, restrict its scope in conversation and avoid granting access to broad filesystem roots. If you want, I can suggest safe command-line changes to add file-type filtering or EXIF extraction.
能力评估
Purpose & Capability
The skill's name, description, declared dependency (python3), included files, and runtime instructions align with a local media cataloging tool. However, the SKILL.md and README claim extraction of dimensions, duration, tags and generation of reuse ideas; the bundled script only collects basic filesystem metadata (path, filename, ext, size, create/modify times). Generating tags or 'reuse ideas' could be done by the agent (LLM) using the manifest, but the script itself does not extract image dimensions, durations, or embedded metadata (EXIF) as the docs imply.
Instruction Scope
SKILL.md instructs scanning a user-provided folder and using the local script/resource — that is expected. The concern: the script recurses the entire folder tree and will record absolute paths and timestamps for every file under the supplied folder with no file-type filtering by default, which can expose unrelated or sensitive files if the user provides a broad root path. Also there is a mismatch between the described metadata extraction (dimensions/duration/tags) and what the script actually collects.
Install Mechanism
No installation spec — instruction-only skill with a local Python script. This is low risk: nothing is downloaded or written to system locations by an installer. The only runtime dependency declared is python3, which is appropriate and proportional.
Credentials
The skill does not request environment variables, credentials, or external config paths. That is proportionate to a local-only media cataloger. Note that the output CSV contains absolute paths and timestamps which should be treated as sensitive data by the user.
Persistence & Privilege
The skill does not request persistent system presence (always:false) and does not modify other skills or system-wide settings. It writes a manifest file (default media_manifest.csv) to the current working directory when the script is run — expected behavior for this tool.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install local-media-cataloger
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /local-media-cataloger 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Version 1.1.0 of local-media-cataloger introduces structured workflows and clearer operating rules: - Added detailed description of workflow steps for cataloging and tagging media files. - Defined required user inputs and suggested trigger phrases. - Specified output artifacts, including media manifest, folder plan, duplicate candidates, and reuse ideas. - Introduced explicit operating rules—favor draft/preview, clarify assumptions, avoid destructive changes, and forbid fabricating evidence. - Outlined usage of the bundled script and default metadata schema. - Included compatibility and boundary notes to clarify the skill's intended scope.
元数据
Slug local-media-cataloger
版本 1.0.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

local-media-cataloger 是什么?

Index local photos, videos, and creative assets into a searchable manifest with tags, dates, shoot info, and reuse ideas. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 396 次。

如何安装 local-media-cataloger?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install local-media-cataloger」即可一键安装,无需额外配置。

local-media-cataloger 是免费的吗?

是的,local-media-cataloger 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

local-media-cataloger 支持哪些平台?

local-media-cataloger 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 local-media-cataloger?

由 vx:17605205782(@52yuanchangxing)开发并维护,当前版本 v1.0.0。

💬 留言讨论