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Security audit

Academic Social Publisher

Security checks for vulnerabilities and agentic risk

Overview

This skill is a disclosed academic content drafting helper with optional, configured video generation and no hidden execution or persistence behavior.

Installers should expect this skill to draft promotional academic posts for several platforms by default. Enable video generation only if you are comfortable configuring external providers and sending the relevant paper content to those services.

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
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • 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
Findings (3)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The skill description contains broad activation language such as creating social posts whenever a paper/article is shared or a research announcement is being composed. This can cause unintended triggering in normal academic workflows, leading the agent to generate or transform content without sufficiently explicit user intent, which is a scope/permission boundary issue rather than a code-execution flaw.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
97% confidence
Finding

The WeChat section mandates Chinese output and a specific stylistic framing without indicating that this depends on user preference. This can override user intent, cause undesired disclosure or publication in a different language, and produce content inappropriate for the audience or workflow when the user did not request Chinese localization.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
84% confidence
Finding

This markdown file contains substantial Chinese-language content for WeChat and video scripts, including title formulas and narration examples, but does not explicitly present this as an opt-in language choice. Under the policy rule, forcing or assuming a specific language without user opt-in can be a natural-language policy violation.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.