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nano banana text to image in Atlas AI
by
guilherme-funchal
· GitHub ↗
· v1.0.1
· MIT-0
107
Downloads
0
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install nano-banana-text-image
Description
Generates images from text prompts using AtlasCloud Nanobanana 2 model, requiring an AtlasCloud API token and specific JSON parameters without media_resolution.
Usage Guidance
This skill appears to implement AtlasCloud text→image generation, but there are a few things to check before installing: 1) The SKILL.md and generate.js require the node binary and an AtlasCloud API token, yet the registry metadata doesn’t declare those — treat that as a packaging oversight or ask the author for clarification. 2) The skill asks the agent to save the AtlasCloud token to memory; if you’re cautious, prefer to provide a short-lived or limited-scope token and confirm how long the platform persists memory. 3) The script writes last_result.json and last_url.txt to disk (in the skill folder); consider whether you’re comfortable with those artifacts on the host. 4) Review generate.js yourself (it’s short and uses only https/http/fs) and verify the AtlasCloud endpoints are expected. If you don’t trust the source or cannot confirm the missing metadata, don’t install or provide long-lived/high-privilege credentials.
Capability Analysis
Type: OpenClaw Skill
Name: nano-banana-text-image
Version: 1.0.1
The skill is a legitimate implementation for generating images using the AtlasCloud API. The `generate.js` script handles job submission and polling via standard Node.js HTTPS modules, communicating exclusively with `api.atlascloud.ai`. The instructions in `SKILL.md` are well-defined, focusing on token management and correct output parsing without any signs of prompt injection, data exfiltration, or malicious intent.
Capability Tags
Capability Assessment
Purpose & Capability
The skill's stated purpose is text→image via AtlasCloud Nanobanana which matches the included generate.js. However the registry metadata lists no required binaries or credentials while SKILL.md (and the script) require the node binary and an AtlasCloud API token. The manifest/requirements and SKILL.md are inconsistent.
Instruction Scope
SKILL.md instructs the agent to check memory for atlascloud_token, ask the user for it if absent, save it to memory, write params to {baseDir}/params.json, run a local node script, and extract an IMAGE_URL from stdout. Those steps are coherent with the stated task, but the explicit instruction to persist the token in memory and to log/print full API responses (the script logs the entire poll response) are sensitive behaviors that should be acknowledged.
Install Mechanism
There is no install spec (instruction-only with an included generate.js). No external downloads or package installs are performed; the Node script uses only built-in Node modules and package.json has no dependencies. This is low-install risk.
Credentials
The skill requires a user AtlasCloud API token at runtime (SKILL.md and generate.js expect it) but the registry metadata declares no required env vars or primary credential. Asking the agent to store the token in memory introduces persistence of a secret. The requested/used credentials are plausible for the feature, but the lack of declaration is an inconsistency and storing secrets in memory should be considered.
Persistence & Privilege
The skill does not request 'always' or other elevated privileges and will not autonomously persist itself. It does, however, instruct/perform writing of last_result.json and last_url.txt next to the script and asks the agent to save the token to memory — local file writes and memory storage are normal for this use but are persistent artifacts the user should be aware of.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install nano-banana-text-image - After installation, invoke the skill by name or use
/nano-banana-text-image - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Removed test.js file, cleaning up development or test resources.
- No changes to functionality or documentation.
v1.0.0
Initial release of Atlas Nanobanana Text-to-Image skill:
- Enables image generation from text prompts using AtlasCloud Nanobanana 2 model.
- Automatically handles AtlasCloud API token setup and storage.
- Provides clear payload instructions and error guidance, including a strict requirement to omit "media_resolution" from params.
- Extracts and returns the image URL directly from command output for each new request.
- Triggers on user requests for image creation using descriptive text or mentions of Nanobanana/AtlasCloud.
Metadata
Frequently Asked Questions
What is nano banana text to image in Atlas AI?
Generates images from text prompts using AtlasCloud Nanobanana 2 model, requiring an AtlasCloud API token and specific JSON parameters without media_resolution. It is an AI Agent Skill for Claude Code / OpenClaw, with 107 downloads so far.
How do I install nano banana text to image in Atlas AI?
Run "/install nano-banana-text-image" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is nano banana text to image in Atlas AI free?
Yes, nano banana text to image in Atlas AI is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does nano banana text to image in Atlas AI support?
nano banana text to image in Atlas AI is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created nano banana text to image in Atlas AI?
It is built and maintained by guilherme-funchal (@guilherme-funchal); the current version is v1.0.1.
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