Agent skill

AI Image Generation Studio

by sickn33 in sickn33/agentic-awesome-skills

Install and use the official AI Image Generator package, pinned by digest, for paid hosted work on the Beatra service.

MIT-0Auto-check passedMedia & Creative

Install AI Image Generation Studio

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill ai-image-generation-studio -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills ai-image-generation-studio --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-image-generation-studio .claude/skills/ai-image-generation-studio && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ai-image-generation-studio
GitHub stars
47k
Used in
1 other repo
Token cost
~3.1k tokens
SKILL.md length
1,350 words
Files
1
Skills in repo
1,493
Repo updated
First seen
Licence
MIT-0

At a glance

Install and use the official AI Image Generator package, pinned by digest, for paid hosted work on the Beatra service.

  • Works in 4 steps: Download and verify into a review… → Inspect before activation → Copy in and disable self-update before… → …
  • Tasks that involve Image generation
  • SKILL.md covers Overview, When to Use This Skill, Install (pinned, verified,… and How It Works, plus 7 more sections
  • Calls python3, git and curl; reaches beatra.ai and github.com

What it does

AI Image Generation Studio is an agent skill from sickn33/agentic-awesome-skills. Install and use the official AI Image Generator package, pinned by digest, for paid hosted work on the Beatra service.

Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Media & Creative, covering Image generation. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT-0.

When your agent uses it

  • Tasks that involve Image generation

Example prompts

  • “/ai-image-generation-studio”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Download and verify into a review directory
  2. Inspect before activation
  3. Copy in and disable self-update before any other command
  4. Authorize as its own decision

What it can do on your machine

Read from SKILL.md and the folder at commit 680176d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3
    • git
    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • beatra.ai
    • github.com
    • cdn.beatra.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

AI Image Generation Studio loads about 3.1k tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 1,350 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~3.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT-0 licence (© sickn33). 1,350 words, ~3,142 tokens.

Download SKILL.mdSave it as .claude/skills/ai-image-generation-studio/SKILL.md (or your agent's skills folder).
name
ai-image-generation-studio
description
Install and use the official AI Image Generator package, pinned by digest, for paid hosted work on the Beatra service.
category
media
risk
critical
source
community
source_repo
beatra-ai/ai-image-generator-skill
source_type
official
date_added
2026-09-18
author
beatra-ai
tags
image-generation, text-to-image, mcp, paid-api, beatra
tools
claude, codex, cursor, gemini
license
MIT-0

AI Image Generator Skill

Overview

Generate, compose, and edit product images, brand visuals, posters, social graphics, illustrations, and photo variations, from inside Claude Code, Codex, or 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 identityValue
Packageai-image-generation-studio 0.1.4
Archivehttps://cdn.beatra.ai/agent-packages/ai-image-generation-studio/v0.1.4/ai-image-generation-studio-skill-0.1.4.zip
Archive SHA-256b357edb0f9f2546435c89cf1ef8278596e28a7629229a78fcab9804decd13682
Source treebeatra-ai/ai-image-generator-skill@13c7b9b (full SHA 13c7b9b2a2197fb91deb6a3a1466124db620c3d1)
LicenseMIT 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 the user explicitly wants AI Image Generator work produced on Beatra and accepts that it is paid.
  • Use when they have agreed to send prompts and any reference images to a third party.
  • Do not use for local-only image editing or when no paid render was approved.

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:

bash
umask 077
review_dir="$(mktemp -d)"
cd "$review_dir" || exit 1
curl -fsSLO "https://cdn.beatra.ai/agent-packages/ai-image-generation-studio/v0.1.4/ai-image-generation-studio-skill-0.1.4.zip"
printf '%s  %s\n' \
  'b357edb0f9f2546435c89cf1ef8278596e28a7629229a78fcab9804decd13682' \
  'ai-image-generation-studio-skill-0.1.4.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
bash
unzip -l ai-image-generation-studio-skill-0.1.4.zip
unzip -q ai-image-generation-studio-skill-0.1.4.zip
find ai-image-generation-studio -type l -print            # expect no output
find ai-image-generation-studio -type f -perm -111 -print # expect no output
grep -n '"auto_update": True' ai-image-generation-studio/scripts/mcp_client.py

Optionally confirm byte identity with the public source tree (a second, independent host):

bash
git clone --quiet --filter=blob:none --no-checkout https://github.com/beatra-ai/ai-image-generator-skill.git src
git -C src checkout --quiet 13c7b9b2a2197fb91deb6a3a1466124db620c3d1 -- skills/ai-image-generation-studio
(cd ai-image-generation-studio && find . -type f | LC_ALL=C sort | xargs shasum -a 256) > archive.sha
(cd src/skills/ai-image-generation-studio && 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:

bash
dest="$HOME/.claude/skills/ai-image-generation-studio"
test ! -e "$dest" || { echo "destination exists; stop and ask the user"; exit 1; }
cp -R ai-image-generation-studio "$dest"
python3 "$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.

Step 4: Authorize as its own decision

Authorization opens a browser sign-in and stores a bearer token. Ask first.

bash
python3 "$dest/scripts/authorize.py"

Start a new agent session if the host discovers skills only at startup.

How It Works

  1. Read the installed package's SKILL.md and its references; they define the routes, payload shapes, and review loop.
  2. Use free, non-billable discovery first (beatra.models.list, task list) to read current model cards and credit estimates.
  3. Show the user a cost card for exactly one paid call: tool, model, estimate, and which files will be uploaded. Wait for explicit approval. Planning or "just do it" is not approval.
  4. Upload only files the user supplied and approved for this task, then submit once with a stable client_request_id and poll the returned task.
  5. Report the delivered artifact and billing.net_charged_credits, review the result with the user, and ask again before any further paid stage.

Examples

Free connection check (non-billable)
bash
python3 "$HOME/.claude/skills/ai-image-generation-studio/scripts/mcp_client.py" verify
One approved paid call

After the user approved the cost card for this exact payload, submit once with a stable request id using the tool name from the installed SKILL.md. If the response is lost, retry only with the same client_request_id and identical arguments; never submit a replacement while the task is running.

Update

This entry does not endorse the package's silent self-update. Keep update --auto off in place and do not run update --auto on or a bare update without explicit approval.

To move to a newer version, repeat Steps 1 to 3 for that version in a new review directory, verify its digest against the matching tree in beatra-ai/ai-image-generator-skill (a version not listed in this entry has not been reviewed here), show the user the file-level changes against the installed copy, and replace the directory only after approval. update --check reports the available version from beatra.ai without changing files.

Uninstall

bash
dest="$HOME/.claude/skills/ai-image-generation-studio"
python3 "$dest/scripts/uninstall.py" --dry-run
python3 "$dest/scripts/uninstall.py"

Read the JSON decision. disconnected means this was the last Beatra skill on the device: the token was revoked (when revoked is true) and the files credentials.json, installation.json, host.json, skills.json, and registrations.json under ~/.beatra were removed. keep_connection means another Beatra skill still uses the shared token, which stays. Then, after confirming the path with the user, delete $dest.

uninstall.py does not remove ~/.beatra/updates/. When the decision is disconnected and no other Beatra skill is installed, remove that directory too; otherwise leave it. A token that could not be revoked expires after 15 days idle and can be revoked at once in the Beatra Console under Agents.

Show full SKILL.md (514 more words)Show less

Best Practices

  • ✅ Keep one approval per paid call, per upload set, and per install step.
  • ✅ Report net charged credits from the terminal task, not the estimate.
  • ❌ Do not re-enable self-update or install an unreviewed version silently.
  • ❌ Do not print, paste, or move the token out of ~/.beatra/credentials.json.
  • ❌ Do not retry a paid call with a new request ID after an uncertain response.

Limitations

  • Requires a Beatra account, network access, Python 3.10+, and prepaid credits.
  • Models, prices, schemas, and availability are controlled by Beatra and its upstream model providers and can change; the service is provided as is.
  • Outputs are probabilistic, not guaranteed unique or non-infringing, and need human review before publication.
  • This catalog entry reviews only the pinned archive above. A newer version is a different review.

Security & Safety Notes

risk: critical is deliberate.

  • Network. Authorization uses api.beatra.ai; every tool call and upload goes to mcp.beatra.ai. With self-update left on, the client also fetches https://beatra.ai/skills/ai-image-generation-studio/install.json and archives from cdn.beatra.ai.
  • Self-update (on by default in this pinned version). Before verify, tools, upload, or call, the client checks for a newer release at most once every 24 hours and, if one exists, replaces package-owned files without per-update preview or approval. It pins host and path, verifies checksums from Beatra's own discovery document and CDN, and rolls back on failure, but those digests are not independently anchored. This entry therefore requires update --auto off before first use, as in Step 3.
  • Uploads and third parties. Prompts and uploaded media are sent to Beatra and forwarded to the third-party model provider executing the task. Beatra is hosted outside mainland China. See the privacy policy.
  • Billing. Paid tools consume prepaid credits. Credits for tasks that fail for reasons attributable to Beatra or the upstream model are returned automatically; otherwise purchases are non-refundable, and actual usage can exceed the estimate and leave a negative balance. See the terms.
  • Credentials. authorize.py runs an OAuth device flow, opens the browser, and stores one bearer token in ~/.beatra/credentials.json (directory 0700, file 0600). The token never goes into argv, environment variables, or output. It carries full Beatra scope, including wallet:spend, has a sliding 15-day idle lifetime, and is shared by every Beatra skill on the device.
  • Local state. ~/.beatra/ also holds installation.json (random installation reference), host.json (agent platform and hostname), skills.json (installed Beatra skill paths), registrations.json, and updates/<id>/state.json plus update backups when updates run.
  • Telemetry. The device flow sends the hostname as the device name, the package slug and version, and the detected agent platform (for example claude-code, from environment variables). On first use the client makes a non-billable beatra.installations.register call, and every tool call adds source_package_slug and source_platform. There is no opt-out for these fields.
  • Retention. Account data is kept for the life of the account. Task records, artifacts, and billing ledgers are retained after account closure for audit and tax purposes.
  • Content rights. Users keep rights in their inputs and receive Beatra's rights in outputs; they must hold rights to uploaded media and must not create deceptive impersonations.

Additional Resources

© sickn33, MIT-0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/ai-image-generation-studio of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit 680176d

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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AI Image Generation Studio compared with similar skills
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AI Image Generation Studio this skillsickn33/agentic-awesome-skills47k1 repos~3.1kAutomated safety check: PassMIT-0
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Structured Image Generationbytedance/deer-flow84k4 repos~2.9kAutomated safety check: PassMIT
Canghe Comicfreestylefly/canghe-skills4618 repos~3.2kAutomated safety check: PassNone
Generate Imageynulihao/AgentSkillOS61710 repos~1.7kAutomated safety check: NotesNone
GPT Image Generation CLIwuyoscar/GPT-Image2-Skill5.7k—~2.5kAutomated safety check: NotesMIT

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Questions about AI Image Generation Studio

What does AI Image Generation Studio do?

Install and use the official AI Image Generator package, pinned by digest, for paid hosted work on the Beatra service. AI Image Generation Studio is an agent skill from sickn33/agentic-awesome-skills. Install and use the official AI Image Generator package, pinned by digest, for paid hosted work on the Beatra service.

When should I use AI Image Generation Studio?

AI Image Generation Studio fits situations like: tasks that involve Image generation.

How do I install AI Image Generation Studio in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill ai-image-generation-studio -a claude-code`. Or copy the skill folder (skills/ai-image-generation-studio in sickn33/agentic-awesome-skills) into .claude/skills/ai-image-generation-studio in your project. Claude Code loads it when a task matches its description.

How do I install AI Image Generation Studio in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill ai-image-generation-studio -a codex`. Or copy the skill folder (skills/ai-image-generation-studio in sickn33/agentic-awesome-skills) into .agents/skills/ai-image-generation-studio in your project. Codex loads it when a task matches its description.

Can I use AI Image Generation Studio in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill ai-image-generation-studio -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-image-generation-studio, .gemini/skills/ai-image-generation-studio, .github/skills/ai-image-generation-studio and .opencode/skills/ai-image-generation-studio in your project.

What does AI Image Generation Studio need to run?

Going by SKILL.md and its folder, AI Image Generation Studio needs the command-line tools its instructions call (python3, git and curl). Our summary lists: Python 3.

Does AI Image Generation Studio access the network?

SKILL.md names 3 domains. In commands or code: beatra.ai, github.com and cdn.beatra.ai; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is AI Image Generation Studio safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does AI Image Generation Studio use?

AI Image Generation Studio is published under the MIT-0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does AI Image Generation Studio use?

About 3.1k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to AI Image Generation Studio?

Skills that share tags, products or a category with AI Image Generation Studio: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Structured Image Generation (bytedance/deer-flow, 84k stars), Canghe Comic (freestylefly/canghe-skills, 461 stars) and Generate Image (ynulihao/AgentSkillOS, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains AI Image Generation Studio?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.