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Security audit

Zero-Sum Game

Security checks for vulnerabilities and agentic risk

Overview

This text-only strategy guide provides analysis without requesting account access, command execution, or transactions.

Use the recommendations as analytical suggestions and verify assumptions before acting. Avoid recording confidential business details in reusable examples.

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
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
  • 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
Findings (1)

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
75% confidence
Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · references/sources.md (reported line 15)May include surrounding context.

md
m capacity — useful for grounding the "near-term compute is a fixed input" side of the AI zero-sum diagnosis. https://www.iea.org/reports/energy-and-ai
- Stanford HAI (2025). *Artificial Intelligence Index Report 2025,* published April 2025. Stanford Institute for Human-Centered AI. Tracks model performance, investment, adoption, and compute trends through 2024 — the widely cited public baseline for the state of AI competition, capital expenditure, and the concentration of frontier capability and talent. https://hai.stanford.edu/ai-index/2025-ai-index-report

**What is not cited and why:** Popular business writing frequently attributes the phrase "zero-sum game" to competitive strategy without checking whether the specific situation meets the mathematical definition. Claims that "competition is always zero-sum" or "negotiation is always zero-sum" are asserted but unverified. This skill uses the mathematical definition from Von Neumann and Morgenstern as the anchor, not intuitive usage.

Static analysis

No suspicious patterns detected.