anycap-media-production

anycap-media-production is a skill for Claude Code from anycap-ai/anycap. It costs 167 tokens per session (3,129 once invoked), scanned A, original, MIT.

A media-production workflow for generating and refining images, videos, music, speech, dialogue, and complete audio scenes from text or reference material.

In plain words
What is it for?
Use it to create media assets, regenerate them with changed instructions, refine images through visual feedback, and prepare finished files for delivery.
Why use it?
It organizes the process from an initial idea through revisions and final delivery across several kinds of media.

Skill for Claude Code

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

Part of the anycap plugin — 9 skills, 1 MCP server shipped together

not rated 43repo changed 2d ago A scan Socket: passSnyk: warnSkillSpector: pass 167 tokens original MIT

Good fit Use it to create media assets, regenerate them with changed instructions, refine images through visual feedback, and prepare finished files for delivery.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/anycap-ai/anycap/anycap-media-production
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 anycap-ai/anycap --skill anycap-media-production
Clone the repo
git clone --depth 1 https://github.com/anycap-ai/anycap

Made for: Claude Code.

Or install anycap, the plugin that ships this one along with the rest of its 9 skills, 1 MCP server.

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 anycap-media-production

README.md
[![agentmods](https://agentmods.dev/badge/skills/anycap-ai/anycap/anycap-media-production/github.svg)](https://agentmods.dev/skills/anycap-ai/anycap/anycap-media-production)
Your own site
<a href="https://agentmods.dev/skills/anycap-ai/anycap/anycap-media-production"><img src="https://agentmods.dev/badge/skills/anycap-ai/anycap/anycap-media-production/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 anycap-media-production

Your own site · 80×15
<a href="https://agentmods.dev/skills/anycap-ai/anycap/anycap-media-production"><img src="https://agentmods.dev/badge/skills/anycap-ai/anycap/anycap-media-production.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 167 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,129 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
  • Socket pass 24 Apr 2026
  • Snyk warn 24 Apr 2026
  • 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 $0.00167 $0.03129
Opus 5 $0.00084 $0.01564
Sonnet 5 $0.00033 $0.00626
Haiku 4.5 $0.00017 $0.00313

Measured 2d ago against content hash f5108dc5c690, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

anycap-media-production 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 2d 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/anycap-media-production/SKILL.md · 357 lines

How it starts

The opening of the file, as written. The whole thing — 357 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AnyCap Media Production

Read this entire file before starting. It covers the full production workflow across image, video, music, and audio -- including iterative refinement with human feedback.

Workflow guide for producing media assets with AnyCap. Covers image, video, music, and audio -- from initial generation through iterative refinement to delivery.

This skill is about how to produce media. For CLI command reference and parameters, read the anycap-cli skill.

Prerequisites

AnyCap CLI must be installed and authenticated. Read the anycap-cli skill if setup is needed.

Quick Reference

Media Generate Refine Typical duration
Image anycap image generate Annotate + image-to-image 5-30s
Video anycap video generate Re-generate with adjusted params 30-120s
Music anycap music generate Re-generate with adjusted prompt 30-90s
Audio anycap audio generate Re-generate with adjusted prompt or references Model-dependent

All generation commands follow the same pattern:

1. Discover models    anycap {cap} models
2. Check schema       anycap {cap} models <model> schema [--mode <mode>]
3. Generate           anycap {cap} generate --model <model> --prompt "..." -o output.ext

Always choose model IDs from the live model catalog and inspect the schema for the selected mode before relying on model-specific parameters. Always use -o with a descriptive filename.

Image Production

Text-to-Image

Generate an image from a text prompt:

anycap image generate \
  --prompt "a cozy home office with a wooden desk, laptop, coffee cup, and plants by the window" \
  --model <model-id> \
  -o workspace-v1.png

Image-to-Image (Edit / Transform)

Use --mode image-to-image with a reference image to edit or transform an existing image:

anycap image generate \
  --prompt "make it a watercolor painting" \
  --model <model-id> \
  --mode image-to-image \
  --param images=./photo.png \
  -o photo-watercolor.png

Read the full file on GitHub · 357 lines

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. 2d ago Changed f5108dc5c690
  2. 12d ago First seen · 357 lines · 167 tokens per session scan A 36c415a1915f

Subscribe to this mod's changes

anycap-media-production is a skill published in the GitHub repository anycap-ai/anycap (43 stars, last pushed 3d ago), licensed MIT. It adds 167 tokens to every session and 3,129 once invoked, about $0.0008 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 2026-08-30.

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