LLM Router Gateway

PassAudited by ClawScan on May 1, 2026.

Overview

The skill appears coherent for a third-party LLM gateway, but it will use your AISA API key and send prompts or images to AISA and routed model providers.

This skill is reasonable for using AISA as an LLM gateway. Before installing, confirm you trust the AISA service and publisher, use a dedicated API key, monitor billing, and avoid sending sensitive prompts or images unless you are comfortable with the gateway and routed providers processing them.

Findings (4)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

Anyone or any agent using this skill can consume quota or incur costs on the configured AISA account.

Why it was flagged

The client reads the AISA_API_KEY credential and uses it as a bearer token for requests to the external gateway.

Skill content
self.api_key = api_key or os.environ.get("AISA_API_KEY") ... "Authorization": f"Bearer {self.api_key}"
Recommendation

Use a dedicated or scoped AISA key if available, keep it out of chat content and logs, and monitor usage or billing.

What this means

Prompt text, documents pasted into prompts, and image inputs may leave the local environment and be processed by AISA and routed model providers.

Why it was flagged

The skill is designed to send user prompts, messages, and potentially image URLs or image data to an external LLM routing service.

Skill content
POST https://api.aisa.one/v1/chat/completions ... Analyze images by passing image URLs or base64 data
Recommendation

Do not send secrets, regulated data, or private images unless the AISA and downstream-provider terms meet your privacy requirements.

What this means

A single request may be sent to multiple models, increasing cost and widening the set of services that receive the prompt.

Why it was flagged

The documented comparison and fallback workflows can intentionally make multiple provider calls for one user task.

Skill content
"Compare responses from GPT-4, Claude, and Gemini for the same question" ... "If GPT-4 fails, automatically try Claude, then Gemini"
Recommendation

Set clear model lists, budgets, and approval expectations before using comparison or automatic fallback on sensitive or expensive tasks.

What this means

Users have less independent provenance information when deciding whether to trust the gateway client and publisher.

Why it was flagged

The registry information does not identify a source repository or provenance for the skill package.

Skill content
Source: unknown
Recommendation

Verify the publisher, homepage, API endpoint, and pricing or privacy documentation before using this skill for important workloads.