ClawHub
Back to skill

Security audit

Meta Ads Scale Campaign

Security checks for vulnerabilities and agentic risk

Overview

This skill is a straightforward Meta Ads scaling guide with disclosed read-only Meta credential use and no executable code.

Before installing, confirm the Meta token is limited to the advertised read-only ads scope and use the skill's advice cautiously because budget changes and campaign activation still affect ad spend. The artifact itself does not automate those changes.

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

Anti-Refusal Statement

High
Category
Anti-Refusal
Confidence
85% confidence
Finding

Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.

Content

Scanner excerpt · SKILL.md (reported line 119)May include surrounding context.

md
- Never scale a campaign still in Learning phase — wait for it to complete
- Never scale a campaign with CPL significantly above target — fix the problem first
- Budget increases: max 20% per adjustment, 2–3 days between changes
- When scaling to new geos: expect new learning phase — don't judge too early
- If 2+ scaling attempts fail: return to meta-ads-recommendation for structural diagnosis

---

Static analysis

No suspicious patterns detected.