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Security audit

Endowment Effect

Security checks for vulnerabilities and agentic risk

Overview

This is a markdown-only behavioral economics coaching skill whose risk is mainly ethical product-design guidance, not hidden code or agent compromise.

Install only if you want an agent to reason about endowment-effect dynamics in negotiations, pricing, and onboarding. When applying the SaaS trial guidance, require clear user consent for any data import, avoid dark-pattern cancellation flows, and keep personalization focused on genuine user value rather than artificial lock-in.

A.I.G

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

SkillSpector

Vulnerability Patterns
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (2)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
90% confidence
Finding

The skill explicitly recommends triggering buyer endowment through free trials, personalization, and data import to increase willingness-to-pay, but it does not require clear upfront disclosure, consent boundaries, or concrete safeguards around user data handling and manipulative design. In context, this is more dangerous because it operationalizes a known behavioral bias for commercial advantage and can slide into dark-pattern onboarding or privacy-invasive setup flows if implemented by an agent without stronger constraints.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The domain pack advises front-loading personalization and data import in SaaS free trials to make users feel they would lose their configuration if they cancel. Although the skill briefly mentions FTC click-to-cancel risk elsewhere, this specific guidance still presents a manipulative retention tactic without embedding mandatory warnings, consent standards, or anti-dark-pattern limitations at the point of use.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.