T08 · Insecure Dependencies
Warning
- Location
SKILL.md:9- Finding
Unpinned External Executable Dependencies and Skills
- Content
View full analysis
- Remediation
View remediation
Security audit
Social Intelligence
Security checks for vulnerabilities and agentic risk
Overview
This skill is a disclosed Xpoz social-media research integration with some dependency and privacy-notice caveats, but no evidence of hidden, destructive, or deceptive behavior.
Review the Xpoz service and xpoz-setup skill before installing, especially how OAuth tokens, search queries, and CSV exports are handled. Avoid sending confidential, regulated, or unnecessary personal data in searches, and treat large social-media exports as sensitive datasets.
Vulnerability Patterns
- Insecure DependenciesIntroduces malicious components through unsafe dependency sources
- 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
Findings (1)
Vulnerability Patterns
- Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
- MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
- Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
- Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
- Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (3)
Description-Behavior Mismatch
Medium
- Category
- Not specified by scanner
- Confidence
- 95% confidence
- Finding
The manifest description presents the skill as social media research across Twitter, Instagram, and Reddit specifically. Later documentation expands the actual capability set to include TikTok tools, which is a broader platform scope than the manifest states.
- Content
Missing User Warnings
Medium
- Category
- Not specified by scanner
- Confidence
- 92% confidence
- Finding
The skill encourages querying and exporting large volumes of social-media data via an external MCP backend without clearly warning users that prompts, search terms, and resulting datasets are transmitted to a third-party service. In a social-intelligence context, users may search for brands, individuals, leads, or sensitive investigative topics, so insufficient disclosure increases the risk of unintended data sharing, privacy issues, and over-collection.
- Content
Description-Behavior Mismatch
Low
- Category
- Not specified by scanner
- Confidence
- 77% confidence
- Finding
The skill is described as operating via the Xpoz MCP backend, yet the documentation relies on external clawhub.ai links for setup and related functionality. While this may be documentation-only, it broadens the practical behavior and dependencies beyond the narrowly stated backend endpoint.
- Content
Static analysis
No suspicious patterns detected.