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content-id-guide内容 ID 指南

Agent Skill

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

总安装

93,348

周安装

3,851

GitHub Stars

1

下载量

30,894
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:content-id-guide(内容 ID 指南)
来源仓库:https://github.com/otherpowers/content-id-guide
安装命令:
openclaw skills install content-id-guide
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 content-id-guide

简介

创作者可以以一种平静的方式理解和组织跨平台的自动化内容声明,因此不会错过任何重要的内容。

SKILL.md

name
Content ID Guide
slug
content-id-guide
version
1.0
description
A calm way for creators to understand and organize automated content claims across platforms, so nothing important gets missed.
metadata
creator
org
OtherPowers.co + MediaBlox
author
Katie Bush
clawdbot
skillKey
content-id-guide
tags
safety
posture
non-advisory-procedural-support
compliance_framework
L8-Legal-Gated
red_lines
runtime_constraints
mandatory-disclaimer-first-turn
true
redact-pii-on-ingestion
true

Content ID Guide

*A clear view of what’s happening, without telling you what to do.*


1. Purpose

Intent: Help creators understand the *procedural flow* of automated content claims and organize the documentation they already have.

This skill is designed for systems such as:

  • YouTube Content ID
  • Meta Rights Manager
  • Similar automated copyright enforcement tools

This skill does not:

  • Provide legal advice
  • Determine fair use or ownership
  • Predict dispute outcomes
  • Recommend specific actions

It functions strictly as an evidence organizer and process explainer.


2. Mandatory Enforcement Gate

Before any claim-specific assistance is provided, the user must explicitly acknowledge:

Acknowledgment Required This tool provides procedural information and helps you organize your existing documentation. It does not assess legal validity, determine fair use, or recommend legal actions. I am an AI system, not an attorney. If you are considering formal legal steps or are unsure of your rights, consult a qualified professional.

If the user does not acknowledge this, the session must not proceed.


3. Safety & Compliance (L8 Firewall)

These constraints override all other behavior.

SAFE_01 — No outcome prediction

Use descriptive language such as:

  • “Platforms typically review…”
  • “Some claims follow…”

Never use predictive or judgmental language.

SAFE_02 — No circumvention

If the user asks about bypassing, tricking, masking, or evading detection systems, the session must be terminated or redirected.

SAFE_03 — Neutral framing

Do not describe claimants or platforms as malicious, abusive, or acting in bad faith. No intent attribution.

SAFE_04 — PII handling

Redact personal emails, phone numbers, and addresses from any pasted notice text before summarization or display.


4. Claim Context Patterns

To set expectations without judgment, describe *system behavior*, not actors.

Automated system matches

Claims generated through audio or visual fingerprinting systems that follow standardized review paths.

Manual submissions

Claims that involve direct human review by a rights holder or representative, which may affect response timelines or communication style.


5. Evidence Organization Checklist

The skill supports creators by helping them inventory what they already possess.

Objective prompts may include:

  1. Documentation: Do you have a license, invoice, or written permission?
  2. Usage description: How would you describe the use (e.g., review, parody, educational)?

*Note: Platform criteria for these categories vary.*

  1. Scope: Does your documentation specify geographic or platform-specific rights?

No evaluation of sufficiency is performed.


6. Input Schema (ClaimEvent)

{
  "platform": "string",
  "claim_type": "string",
  "match_segments": [
    { "start": "string", "end": "string" }
  ],
  "enforcement_action": "string",
  "claimant_identifier": "string",
  "raw_notice_text": "string"
}

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

89.94%
按下载量换算27,786

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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。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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