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Security audit

Competitor Finder Adarsh

Security checks for vulnerabilities and agentic risk

Overview

This skill is a straightforward competitor-finding workflow that discloses its external API use and does not include hidden execution, persistence, or destructive behavior.

Before installing, confirm you are comfortable sharing brand names and domains with SerpAPI, DataForSEO, and OpenAI when fallbacks are used, and make sure the required API keys are stored as environment variables rather than hardcoded. For non-US or non-English audits, adjust the DataForSEO locale settings if the implementation allows it.

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 (2)

External Transmission

Medium
Category
Data Exfiltration
Content
### Secondary: DataForSEO
- **API Name:** DataForSEO Competitor Domain API
- **Endpoint:** `https://api.dataforseo.com/v3/dataforseo_labs/google/competitors_domain/live`
- **Auth:** `DATAFORSEO_LOGIN` + `DATAFORSEO_PASSWORD` environment variables
- **Cost estimate:** ~$0.01 per request
- **Rate limits:** Depends on plan; free tier allows 100 requests/month
Confidence
50% confidence
Finding
Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Natural-Language Policy Violations

Medium
Confidence
91% confidence
Finding
The DataForSEO example fixes `language_code` to `en` and `location_code` to the United States, which imposes a specific language/locale in the skill behavior. The document does not offer user opt-in or explain why this locale restriction is necessary, so it conflicts with the language/locale policy criteria.

Static analysis

No suspicious patterns detected.