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Organize Automated Content Claims

ASecurity

A calm way for creators to understand and organize automated content claims across platforms, so nothing important gets missed.

19 stars
0 votes
0 copies
1 views
Added 9/19/2026
ai-agentsgodocumentation

Security Analysis

A100/100

Scanned 9/19/2026

Install to Claude Code

$npx -y skills add rondoflow/rondoflow --skill organize-automated-content-claims --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md
---
name: organize-automated-content-claims
description: "A calm way for creators to understand and organize automated content claims across platforms, so nothing important gets missed."
category: "Productivity"
author: community
version: "1"
icon: check-square
---

# 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"
}

Attribution

rondoflowrondoflow
View sourceMore from rondoflow →
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