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Security audit

Crayfish Sticker

Security checks for vulnerabilities and agentic risk

Overview

This skill is a disclosed sticker-matching helper that fetches a GitHub-hosted sticker index and caches sticker data locally, with no packaged executable code or hidden privilege behavior found.

Before installing, expect the skill to contact a GitHub-hosted sticker repository and keep a local cache so stickers can update without reinstalling. Install it if you are comfortable with that network access and automatic sticker selection in Chinese-language chat contexts; avoid it if you need strict offline operation or explicit per-message approval before sending stickers.

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
  • 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 (2)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
78% confidence
Finding

The entire skill description is written in Chinese and the categorization/triggering examples are Chinese-language specific, with no indication that users can choose another language or that the skill is intentionally limited to a Chinese-only audience. Under the stated policy, forcing a specific language without opt-in is a natural-language policy concern.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The skill explicitly describes fetching a remote JSON index from GitHub and locally caching indexes and popular stickers based on conversation context, but it does not warn users that network requests and context-derived data may be transmitted or stored. This creates a privacy and trust issue because conversation cues, inferred emotions, and usage patterns can influence remote access and caching behavior without informed user consent.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.