beatra
Helps your agent use an official media package for paid work. Allows generation of visual and audio content for specific projects.
What it does
This tool lets you create AI-generated images, videos, music, and voice-overs. It connects to a paid service called Beatra to do the work.
When to use it
- ✓When you need to create various media types (image, video, sound) from one place.
- ✓For professional work requiring high quality and payment.
- ✓When you want to use a trusted and verified service for AI content generation.
Example of what to ask your AI
“Generate an image of a cat astronaut on Mars.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool downloads a secure package of instructions and scripts. After your approval, it connects to the Beatra service to create the requested content, showing costs before execution.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill beatraOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/beatra/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
AI Media Generator Skill
Overview
Create AI images, videos, music, and voice-over from one Agent Skill for Claude Code, Codex, and OpenClaw. The work is produced on the hosted, paid Beatra service
(mcp.beatra.ai).
This catalog entry is a reviewed pointer, not the executable package. It contains no client code and performs no Beatra operation by itself. The package it points to bundles three standard-library Python scripts that make network calls, store a credential, and can replace their own files. Read Install and Security & Safety Notes before activating it.
| Pinned identity | Value |
|---|---|
| Package | beatra 2.8.8 |
| Archive | https://cdn.beatra.ai/agent-packages/beatra/v2.8.8/beatra-skill-2.8.8.zip |
| Archive SHA-256 | e4d6698657213622de338da4c791fb5c2f5da1cb223217bffd8d11a57f7f9f35 |
| Source tree | beatra-ai/ai-media-generator-skill@69afbfe (full SHA 69afbfe9fc5be318279656311225c09f7ae03f97) |
| License | MIT No Attribution (MIT-0) |
The archive holds regular files only (no symlinks, no executable bits, no binaries). Confirm that with the inspect commands below. Every file must be byte-identical to the source tree at the pinned commit.
When to Use This Skill
- Use when one Beatra connection should cover image, video, music, and voice work.
- Do not use for public social-data lookup until the user approves that exact query.
- Do not use when the user wants local-only or offline generation.
Install (pinned, verified, approved twice)
Step 1: Download and verify into a review directory
Explain that this downloads an external package from cdn.beatra.ai, then ask
for approval. Only after approval:
umask 077
review_dir="$(mktemp -d)"
cd "$review_dir" || exit 1
curl -fsSLO "https://cdn.beatra.ai/agent-packages/beatra/v2.8.8/beatra-skill-2.8.8.zip"
printf '%s %s\n' \
'e4d6698657213622de338da4c791fb5c2f5da1cb223217bffd8d11a57f7f9f35' \
'beatra-skill-2.8.8.zip' | shasum -a 256 -c -
Stop if the check does not print OK. The expected digest comes from this
catalog entry, not from a file on the same CDN.
Step 2: Inspect before activation
unzip -l beatra-skill-2.8.8.zip
unzip -q beatra-skill-2.8.8.zip
find beatra -type l -print # expect no output
find beatra -type f -perm -111 -print # expect no output
grep -n '"auto_update": True' beatra/scripts/mcp_client.py
Optionally confirm byte identity with the public source tree (a second, independent host):
git clone --quiet --filter=blob:none --no-checkout https://github.com/beatra-ai/ai-media-generator-skill.git src
git -C src checkout --quiet 69afbfe9fc5be318279656311225c09f7ae03f97 -- skills/beatra
(cd beatra && find . -type f | LC_ALL=C sort | xargs shasum -a 256) > archive.sha
(cd src/skills/beatra && find . -type f | LC_ALL=C sort | xargs shasum -a 256) > tree.sha
cmp archive.sha tree.sha && echo IDENTICAL
Report to the user what the review found: SKILL.md, manifest.json, the
bundled Markdown references, and scripts/authorize.py,
scripts/mcp_client.py, scripts/uninstall.py (Python 3.10+, standard
library only, no dependency installation, no lifecycle hooks). Summarize the
network, credential, local-state, telemetry, and self-update behavior listed
under Security & Safety Notes.
Step 3: Copy in and disable self-update before any other command
Ask for a second, separate approval, because this changes agent configuration. Then copy the reviewed tree to the host's skills directory (Claude Code shown; use the equivalent path for other hosts) and immediately turn off silent self-update for that exact path:
dest="$HOME/.claude/skills/beatra"
test ! -e "$dest" || { echo "destination exists; stop and ask the user"; exit 1; }
cp -R beatra "$dest"
python3 "$dest/scripts/mcp_client.py" update --auto off
The last command must print
Automatic Beatra package updates are disabled. It writes only
~/.beatra/updates/<id>/state.json and makes no network request. Run it
before authorize.py, verify, tools, upload, or call: in this
pinned version self-update is on by default. The setting is keyed to the
resolved install path, so repeat it after moving or re-copying the directory.
…
FAQ
Is it free?
No, the Beatra service is paid. The tool shows you the costs before creating content.
Do I need to install something?
Yes, you need to download and verify an instruction package before use. The process is guided and requires your approval.
Can I use it offline?
No, this tool requires an internet connection to use the paid Beatra service.
Details
Original description by the author
Install and use the official AI Media Generator package, pinned by digest, for paid hosted work on the Beatra service.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2411
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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