One API key for 70+ AI models. Route to GPT, Claude, Gemini, Grok and more

• Outcome: Pass
• Latest audit: Sep 10, 2026 · 4:27 PM UTC
• Version: 1.0.1

Overview

This skill is a straightforward LLM gateway client that sends user-provided prompts or image URLs to the disclosed AIsa API, with no evidence of hidden persistence, local data scraping, or destructive behavior.

Install only if you are comfortable sending prompts, conversation history, and image URLs/base64 content to AIsa and any routed model providers. Avoid submitting secrets, regulated data, or sensitive personal images unless you have reviewed AIsa's data handling and pricing, and be aware that compare/fallback examples may send the same prompt to multiple models.

A.I.G

Vulnerability Patterns

• Skill Instruction Hijacking: Alters the agent's session goals or safety constraints when the skill loads
• Agent Memory Poisoning: Writes attacker-controlled rules into memory that affect later sessions
• Remote Payload Retrieval and Execution: Fetches external code whose behavior can change after review
• Embedded Malicious Code: Ships malicious scripts inside the skill and executes them locally
• Unauthorized Access and Privilege Escalation: Obtains permissions beyond the task's legitimate needs

SkillSpector

Vulnerability Patterns

• Data Exfiltration: External Transmission, Env Variable Harvesting, File System Enumeration
• Excessive Agency: Unrestricted Tool Access, Autonomous Decision Making, Scope Creep
• MCP Least Privilege: Underdeclared Capability, Wildcard Permission, Missing Permission Declaration
• Prompt Injection: Instruction Override, Hidden Instructions, Exfiltration Commands
• Privilege Escalation: Excessive Permissions, Sudo/Root Execution, Credential Access

Findings (21)

External Model or Provider Selection

High

• Category: Excessive Agency

Content

formatter_class=argparse.RawDescriptionHelpFormatter,
        epilog="""
Examples:
    %(prog)s chat --model gpt-4.1 --message "Hello!"
    %(prog)s chat --model claude-sonnet-4-5 --message "Write a poem" --stream
    %(prog)s chat --model gpt-4 --system "You are a pirate" --message "Greet me"
    %(prog)s vision --model gpt-4o --image "https://example.com/img.jpg" --prompt "Describe this"

• Confidence: 90% confidence
• Finding: Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.

External Model or Provider Selection

High

• Category: Excessive Agency

Content

epilog="""
Examples:
    %(prog)s chat --model gpt-4.1 --message "Hello!"
    %(prog)s chat --model claude-sonnet-4-5 --message "Write a poem" --stream
    %(prog)s chat --model gpt-4 --system "You are a pirate" --message "Greet me"
    %(prog)s vision --model gpt-4o --image "https://example.com/img.jpg" --prompt "Describe this"
    %(prog)s compare --models "gpt-4.1,claude-sonnet-4-5" --message "Explain AI"

• Confidence: 90% confidence
• Finding: Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.

External Model or Provider Selection

High

• Category: Excessive Agency

Content

Examples:
    %(prog)s chat --model gpt-4.1 --message "Hello!"
    %(prog)s chat --model claude-sonnet-4-5 --message "Write a poem" --stream
    %(prog)s chat --model gpt-4 --system "You are a pirate" --message "Greet me"
    %(prog)s vision --model gpt-4o --image "https://example.com/img.jpg" --prompt "Describe this"
    %(prog)s compare --models "gpt-4.1,claude-sonnet-4-5" --message "Explain AI"
    %(prog)s models

• Confidence: 90% confidence
• Finding: Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.

External Model or Provider Selection

High

• Category: Excessive Agency

Content

%(prog)s chat --model gpt-4.1 --message "Hello!"
    %(prog)s chat --model claude-sonnet-4-5 --message "Write a poem" --stream
    %(prog)s chat --model gpt-4 --system "You are a pirate" --message "Greet me"
    %(prog)s vision --model gpt-4o --image "https://example.com/img.jpg" --prompt "Describe this"
    %(prog)s compare --models "gpt-4.1,claude-sonnet-4-5" --message "Explain AI"
    %(prog)s models
        """

• Confidence: 90% confidence
• Finding: Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.

Lp3

Medium

• Category: MCP Least Privilege
• Confidence: 93% confidence
• Finding: The skill clearly requires environment access for `AISA_API_KEY` and performs outbound network requests, but it does not declare any explicit tool scope such as `permissions` or `allowed-tools`. This weakens policy enforcement and informed consent because a host agent may permit broader capabilities than users expect for a third-party LLM gateway skill.

Missing User Warnings

Medium

• Confidence: 94% confidence
• Finding: The documented fallback strategy says failed requests may be retried with other model families/providers, but it does not warn that the same prompt may be transmitted to multiple third parties. This increases data exposure surface area and can violate user expectations or compliance constraints when a single request is silently replicated across providers.

Missing User Warnings

Medium

• Confidence: 95% confidence
• Finding: The skill instructs users to send prompts, conversation history, and images to a third-party API, but it does not provide a clear privacy or data-handling warning. In an agent setting, users may unknowingly transmit sensitive prompts, files, or image content to an external service and potentially onward to downstream model providers.

External Transmission

Medium

• Category: Data Exfiltration

Content

#### Request

```bash
curl -X POST "https://api.aisa.one/v1/chat/completions" \
  -H "Authorization: Bearer $AISA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{

• Confidence: 60% confidence
• Finding: Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

External Transmission

Medium

• Category: Data Exfiltration

Content

### Streaming Response

```bash
curl -X POST "https://api.aisa.one/v1/chat/completions" \
  -H "Authorization: Bearer $AISA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{

• Confidence: 60% confidence
• Finding: Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

External Transmission

Medium

• Category: Data Exfiltration

Content

Analyze images by passing image URLs or base64 data:

```bash
curl -X POST "https://api.aisa.one/v1/chat/completions" \
  -H "Authorization: Bearer $AISA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{

• Confidence: 84% confidence
• Finding: The vision example explicitly encourages sending image URLs or base64 image data to a third-party LLM endpoint without warning about the sensitivity of images or the possibility of provider-side retrieval and processing. Images frequently contain faces, documents, screens, or location data, making this context more privacy-sensitive than ordinary text prompts.

External Transmission

Medium

• Category: Data Exfiltration

Content

class LLMRouterClient:
    """Unified LLM Gateway Client for AIsa API."""
    
    BASE_URL = "https://api.aisa.one/v1"
    
    # Popular models for reference (check marketplace.aisa.one/pricing for full list)
    SUPPORTED_MODELS = {

• Confidence: 60% confidence
• Finding: Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

External Transmission

Medium

• Category: Data Exfiltration

Content

class LLMRouterClient:
    """Unified LLM Gateway Client for AIsa API."""
    
    BASE_URL = "https://api.aisa.one/v1"
    
    # Popular models for reference (check marketplace.aisa.one/pricing for full list)
    SUPPORTED_MODELS = {

• Confidence: 60% confidence
• Finding: Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

External Transmission

Medium

• Category: Data Exfiltration

Content

class LLMRouterClient:
    """Unified LLM Gateway Client for AIsa API."""
    
    BASE_URL = "https://api.aisa.one/v1"
    
    # Popular models for reference (check marketplace.aisa.one/pricing for full list)
    SUPPORTED_MODELS = {

• Confidence: 60% confidence
• Finding: Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

External Transmission

Medium

• Category: Data Exfiltration

Content

class LLMRouterClient:
    """Unified LLM Gateway Client for AIsa API."""
    
    BASE_URL = "https://api.aisa.one/v1"
    
    # Popular models for reference (check marketplace.aisa.one/pricing for full list)
    SUPPORTED_MODELS = {

• Confidence: 60% confidence
• Finding: Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

External Transmission

Medium

• Category: Data Exfiltration

Content

class LLMRouterClient:
    """Unified LLM Gateway Client for AIsa API."""
    
    BASE_URL = "https://api.aisa.one/v1"
    
    # Popular models for reference (check marketplace.aisa.one/pricing for full list)
    SUPPORTED_MODELS = {

• Confidence: 60% confidence
• Finding: Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

External Transmission

Medium

• Category: Data Exfiltration

Content

class LLMRouterClient:
    """Unified LLM Gateway Client for AIsa API."""
    
    BASE_URL = "https://api.aisa.one/v1"
    
    # Popular models for reference (check marketplace.aisa.one/pricing for full list)
    SUPPORTED_MODELS = {

• Confidence: 60% confidence
• Finding: Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

External Transmission

Medium

• Category: Data Exfiltration

Content

class LLMRouterClient:
    """Unified LLM Gateway Client for AIsa API."""
    
    BASE_URL = "https://api.aisa.one/v1"
    
    # Popular models for reference (check marketplace.aisa.one/pricing for full list)
    SUPPORTED_MODELS = {

• Confidence: 60% confidence
• Finding: Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

External Transmission

Medium

• Category: Data Exfiltration

Content

class LLMRouterClient:
    """Unified LLM Gateway Client for AIsa API."""
    
    BASE_URL = "https://api.aisa.one/v1"
    
    # Popular models for reference (check marketplace.aisa.one/pricing for full list)
    SUPPORTED_MODELS = {

• Confidence: 60% confidence
• Finding: Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

External Transmission

Medium

• Category: Data Exfiltration

Content

class LLMRouterClient:
    """Unified LLM Gateway Client for AIsa API."""
    
    BASE_URL = "https://api.aisa.one/v1"
    
    # Popular models for reference (check marketplace.aisa.one/pricing for full list)
    SUPPORTED_MODELS = {

• Confidence: 60% confidence
• Finding: Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Missing User Warnings

Medium

• Confidence: 89% confidence
• Finding: This code sends user-supplied chat messages to a remote API endpoint via `/chat/completions`, and the CLI help text does not explicitly warn that prompt contents will be transmitted to an external service. The same request path is used for potentially sensitive text and image-related inputs, so users may not realize their data leaves the local system.

Missing User Warnings

Low

• Confidence: 81% confidence
• Finding: The client automatically reads `AISA_API_KEY` from the environment, but there is no explicit warning in the CLI help or module usage text that the script consumes credentials from the environment. While common, this is still credential access and the current file does not provide user-facing disclosure beyond an error message when the variable is missing.

Static analysis

No suspicious patterns detected.