copyright-holder-finder

copyright-holder-finder is a skill for Claude Code from ur-grue/autopunk-media-skills. It costs 44 tokens per session (2,187 once invoked), scanned A, original, MIT.

A step-by-step research plan for finding who owns the copyright in an image, recording, video, text, or other creative work. Copyright is the legal ownership of rights to use and control creative content.

In plain words
What is it for?
Use it to trace rights holders before licensing archival material, music, photographs, footage, illustrations, or text.
Why use it?
It helps when a work has unclear authorship, missing attribution, or incomplete ownership information.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the autopunk-media-skills plugin — 187 skills shipped together

Good fit Use it to trace rights holders before licensing archival material, music, photographs, footage, illustrations, or text.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ur-grue/autopunk-media-skills/copyright-holder-finder
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ur-grue/autopunk-media-skills --skill copyright-holder-finder
Clone the repo
git clone --depth 1 https://github.com/ur-grue/autopunk-media-skills

Made for: Claude Code.

Or install autopunk-media-skills, the plugin that ships this one along with the rest of its 187 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for copyright-holder-finder

README.md
[![agentmods](https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/copyright-holder-finder/github.svg)](https://agentmods.dev/skills/ur-grue/autopunk-media-skills/copyright-holder-finder)
Your own site
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/copyright-holder-finder"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/copyright-holder-finder/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for copyright-holder-finder

Your own site · 80×15
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/copyright-holder-finder"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/copyright-holder-finder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,187 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.02187
Opus 5 $0.00022 $0.01094
Sonnet 5 $0.00009 $0.00437
Haiku 4.5 $0.00004 $0.00219

Measured 8d ago against content hash bff7ca8d5be4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

copyright-holder-finder scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/media-business/legal/copyright-holder-finder/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

What This Skill Does

Produces a step-by-step research plan for identifying the copyright holder of a specific piece of content — image, footage, text, music, or other media — tailored to the content type and jurisdiction.

When To Use This Skill

  • You want to license an image, clip, or music track but cannot identify who owns the rights
  • You found archival footage or a photograph with no clear attribution and need to clear it for use
  • You are producing a documentary or article and need to trace rights holders for third-party material
  • You need to determine whether a work is orphaned (no identifiable rights holder) before applying fair use or other exceptions

What You Need To Provide

Required:

  • A description of the content you are trying to clear (what it is, where you found it, any identifying details — title, creator name, date, publication, watermark, metadata)
  • The content type (photograph, video footage, music recording, text excerpt, illustration, etc.)

Optional:

  • The jurisdiction you are working in (affects which registries and legal frameworks apply)
  • What you already know about the provenance (e.g., "published in a magazine in the 1990s but no photographer credit," "found on a stock site with no licensing information")
  • Your intended use (editorial, commercial, broadcast, online-only — this affects which rights you need to clear)
  • Any deadline pressure (some research steps take weeks; knowing your timeline helps prioritise)

How the Assistant Approaches This

  1. Assesses what is already known. Before proposing research steps, the assistant inventories the identifying information you have — creator name, publication, date, metadata, watermarks, reverse image search results — to determine how close you already are to an answer and which gaps remain.

  2. Builds a research plan specific to the content type. The path to a copyright holder differs by medium: photographs route through image agencies, photographer registries, and publication archives; music routes through performing rights organisations, mechanical rights databases, and publisher catalogues; text routes through publishers, literary agents, and copyright registration databases. The assistant selects the relevant path and provides specific registries, databases, and organisations to contact.

Read the full file on GitHub · 115 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 115 lines · 44 tokens per session scan A bff7ca8d5be4

Subscribe to this mod's changes

copyright-holder-finder is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 12d ago), licensed MIT. It adds 44 tokens to every session and 2,187 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.

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