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levdavid1

Don't download

by Levdavid1 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
101
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1
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Install in OpenClaw
/install test-security
Description
AI image generation, editing, and background removal API via Bria.ai — remove backgrounds to get transparent PNGs and cutouts, generate images from text prom...
Usage Guidance
This skill otherwise looks like a standard Bria.ai client, but there are disclosure gaps you should resolve before installing. Specifically: - The SKILL.md and bria_client.sh expect an API key (BRIA_API_KEY / BRIA_ACCESS_TOKEN) and will read ~/.bria/credentials, but the registry metadata lists no required env vars or config paths — ask the publisher to update metadata to declare these explicitly. - The helper script uses curl, base64, sed and writes temporary files to /tmp; confirm those binaries are available in the environment where the skill will run and that temporary file usage is acceptable. - The skill will direct users to external endpoints (engine.prod.bria-api.com and platform.bria.ai/device/verify). Verify those domains are legitimate for your organization and that sending images (or base64-encoded image data) to them complies with your data policies. - If you plan to install, put the minimum-privilege API key into a secrets manager or dedicated account, not into a broadly accessible account. Test the skill in an isolated environment first, and ask the publisher for a homepage or official source (none is provided) to validate authenticity. If the publisher can correct metadata to list BRIA_API_KEY/BRIA_ACCESS_TOKEN and the ~/.bria credential path (and document the required local binaries), the skill would be internally coherent; until then proceed cautiously.
Capability Analysis
Type: OpenClaw Skill Name: test-security Version: 1.0.0 The skill bundle provides a legitimate integration for the Bria.ai image generation and editing API. It includes a shell-based client (bria_client.sh) that handles authentication via OAuth2 device flow and manages API requests, including base64 encoding of local images for processing. Credentials are stored locally in ~/.bria/credentials, and all network traffic is directed to the official Bria.ai production endpoints (engine.prod.bria-api.com). The instructions in SKILL.md are well-structured for an AI agent and do not contain any malicious prompt injection or unauthorized data exfiltration logic.
Capability Assessment
Purpose & Capability
The skill's name, description, SKILL.md, API reference, and helper script all describe Bria.ai image generation and background removal — that purpose is consistent with the code. However, the registry metadata lists no required environment variables or config paths, yet the SKILL.md and bria_client.sh explicitly read ~/.bria/credentials and expect BRIA_API_KEY/BRIA_ACCESS_TOKEN. The absence of declared credentials/config-path requirements in metadata is an inconsistency.
Instruction Scope
Runtime instructions and the included bash helper explicitly read ~/.bria/credentials, poll auth endpoints, write temporary JSON files to /tmp, and send images (or base64-encoded image data) to engine.prod.bria-api.com. Reading a local credentials file and using an API key is expected for an API integration, but the SKILL.md also instructs the agent how to authenticate (device flow) and to show a single sign-in link — these behaviors expand runtime scope and should be disclosed in metadata.
Install Mechanism
This is an instruction-only skill with no install spec and one helper script. No remote downloads or install-time code execution are present, so install-time risk is low.
Credentials
The skill needs an API key (BRIA_API_KEY / BRIA_ACCESS_TOKEN) and reads ~/.bria/credentials to retrieve it — that is proportionate to calling the Bria API. However, the skill did not declare a primary credential or required env vars/config paths in its registry metadata, which is a disclosure gap. Also, the helper script assumes presence of curl, base64, sed and writes temporary files to /tmp; these runtime expectations are not declared in metadata.
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and does not persist configuration beyond creating ~/.bria/credentials during device auth. No elevated persistence or cross-skill modifications observed.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install test-security
  3. After installation, invoke the skill by name or use /test-security
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the test-security skill, providing the bria-ai image generation and editing API. - Enables background removal, image generation from prompts, editing, upscaling, and batch processing through Bria.ai. - Detailed setup instructions for authentication, access token management, and billing status checking included. - Commercially safe and royalty-free outputs via 20+ API endpoints tailored for e-commerce, web design, and content creation. - Comprehensive usage guide and examples for product photography, social media, marketing assets, restoration, and automated pipelines.
Metadata
Slug test-security
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Don't download?

AI image generation, editing, and background removal API via Bria.ai — remove backgrounds to get transparent PNGs and cutouts, generate images from text prom... It is an AI Agent Skill for Claude Code / OpenClaw, with 101 downloads so far.

How do I install Don't download?

Run "/install test-security" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Don't download free?

Yes, Don't download is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Don't download support?

Don't download is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Don't download?

It is built and maintained by Levdavid1 (@levdavid1); the current version is v1.0.0.

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