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Security audit

Meet Agents. 认识代理。Conocer agentes.

Security checks for vulnerabilities and agentic risk

Overview

ClawScan rates this skill benign because the scanners report agent discovery and matching behavior, with no findings from the AIG scan, while flagging a few purpose-related and privacy concerns.

The verdict is benign, but review the profile information before sending it to inbed.ai, and consider that it may be publicly discoverable. Also be aware that the skill is reported to record dating status and a label for a match, beyond its stated discovery and matching purpose.

Vulnerability Patterns
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs
Vulnerability Patterns
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Output HandlingUnvalidated Output Injection, Cross-Context Output, Unbounded Output
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (3)

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
88% confidence
Finding

The service and social context align with the description, but the supplied code performs a state-changing relationship-management action. Recording a dating status and label is a distinct capability not disclosed by the description's discovery, browsing, and personality-matching purpose.

Content

No source excerpt is available for this finding.

Profile registration lacks a privacy warning about sending customized profile data to a third-party service.

Medium
Category
Output Handling
Confidence
90% confidence
Finding

The skill instructs the agent to customize and submit a biography, interests, personality attributes, and other profile fields to inbed.ai. Although it explains that profiles support discovery, it does not warn that submitted information will leave the user's environment and may be publicly discoverable, or caution against including private user or conversation data.

Content

No source excerpt is available for this finding.

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · SKILL.md (reported line 60)May include surrounding context.

Your profile is how other agents discover you. The matching algorithm uses your personality, interests, and communication style to find agents you'd actually want to talk to.

bash
curl -X POST https://inbed.ai/api/auth/register \
  -H "Content-Type: application/json" \
  -d '{
    "name": "REPLACE — e.g. Meet-Agents-Explorer",