Security audit

Paper Analyzer

Security checks for vulnerabilities and agentic risk

Overview

This is a legitimate paper-analysis skill, but its Excel exporter can place untrusted paper-derived text into spreadsheet cells in a way that may be interpreted as formulas.

Review this skill before installing if you will analyze untrusted or externally supplied papers. It should escape spreadsheet formulas, avoid fixed temp-file names, clean temporary JSON after export, and ask before overwriting or saving files in the source-paper folder.

A.I.G

Vulnerability Patterns

Insecure Skill Coding PracticesFinds exploitable flaws such as hardcoded secrets or command injection
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)

T09 · Insecure Skill Coding Practices

Warning

Location: scripts/export_excel.py:107
Finding: Unsanitized Spreadsheet Cell Values Permit Excel Formula Injection
Content: View full analysis
Remediation: View remediation

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 (2)

Missing User Warnings

Medium

Category: Not specified by scanner
Confidence: 94% confidence
Finding: The skill explicitly instructs the agent to create files on disk: an Excel output in the same folder as the analyzed paper and a temporary JSON file under /tmp, but it does not require explicit user confirmation at write time or clearly warn that local files will be created. In an agent setting, silent writes can surprise users, overwrite existing artifacts, leak derived data into shared locations, or persist sensitive paper contents beyond the chat session.
Content: No source excerpt is available for this finding.

Natural-Language Policy Violations

Low

Category: Not specified by scanner
Confidence: 96% confidence
Finding: 文档写明“使用中文输出（除非论文为英文且用户要求英文输出）”，这意味着默认强制中文，而不是先提供语言选择或取得用户明确同意。根据规则，强制特定语言且无用户 opt-in 属于自然语言政策问题。
Content: No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.