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Security audit

Anime Recommendations

Security checks for vulnerabilities and agentic risk

Overview

This skill is a straightforward anime and manga recommendation helper that sends user-provided liked titles to a disclosed external AnimeHunt API.

Before installing, consider whether you are comfortable sending anime or manga titles you provide, plus any exclusion list, to AnimeHunt for recommendations. Avoid putting private notes or unrelated personal information into the title fields.

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
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • 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 (1)

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 46)May include surrounding context.

Example

bash
curl -s -X POST "https://animehunt.co/api/tools/recommend_from_liked" \
  -H "content-type: application/json" \
  -d '{"liked":["Cowboy Bebop","Samurai Champloo"],"limit":8}' | jq -r .text