content-id-guide

SKILL.md content

---
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:
      - creators
      - rights-ops
      - platform-governance
      - automated-claims
      - Content ID
      - CID

    safety:
      posture: non-advisory-procedural-support
      compliance_framework: L8-Legal-Gated
      red_lines:
        - legal-outcome-prediction
        - fair-use-adjudication
        - adversarial-claimant-characterization
    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.*
3. **Scope:** Does your documentation specify geographic or platform-specific rights?

No evaluation of sufficiency is performed.

---

## 6. Input Schema (`ClaimEvent`)

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

How this skill works

• The skill is triggered when the agent needs guidance on identifying content IDs
• It classifies the content type (image, video, audio, text, or other) from the query or sample
• It generates step-by-step instructions for using free tools like Google Reverse Image Search, Shazam, ACRCloud, or YouTube search
• It recommends multiple methods based on content type
• It outputs a structured JSON guide with tool names, steps, and links
• The guide includes tips for manual verification and handling edge cases

When to use it

• When preparing to submit a new skill to the OpenClaw repository and needing to generate a content ID
• When referencing or linking to a specific skill using its content ID in documentation
• When troubleshooting issues related to skill discovery via content IDs in OpenClaw workflows

Best practices

• Consult the Content ID Guide skill for accurate content identifiers when developing or configuring OpenClaw skills
• Reference the listed content IDs from official OpenClaw documentation to ensure compatibility
• Cross-verify content IDs against the platform-specific requirements noted in the guide

Example use cases

• YouTube video ID extraction: Extracts the video ID from YouTube URLs like https://www.youtube.com/watch?v=VIDEO_ID or https://youtu.be/VIDEO_ID.
• Twitter/X post ID extraction: Extracts the status ID from Twitter/X URLs like https://twitter.com/user/status/1234567890.
• Reddit post ID extraction: Extracts the post ID from Reddit URLs like https://reddit.com/r/subreddit/comments/POST_ID/title/.
• Instagram post ID extraction: Extracts the media ID from Instagram URLs like https://www.instagram.com/p/POST_ID/.
• TikTok video ID extraction: Extracts the video ID from TikTok URLs like https://www.tiktok.com/@user/video/VIDEO_ID.

FAQs