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Security audit

add.tools

Security checks for vulnerabilities and agentic risk

Overview

This skill is a small, transparent guide for querying an external tool-search service, with optional feedback submission that users should treat as data sharing.

Install only if you are comfortable sending search queries to add.tools. Treat the feedback endpoint as optional data sharing, and do not submit confidential prompts, customer data, secrets, or proprietary tool-selection details.

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
  • 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)

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · SKILL.md (reported line 23)May include surrounding context.

bash
# JSON response for agents
curl -H "Accept: application/json" "https://add.tools/search?q=send+email"

# With explicit format param
curl "https://add.tools/search?q=weather+forecast&format=json"

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
89% confidence
Finding

The feedback example explicitly sends the user's query, selected tool, and success outcome to an external service without any notice about data handling, consent, retention, or sensitivity limits. In an agent context, queries and tool choices may contain proprietary prompts, user intent, or operational metadata, so documenting this transmission without guardrails can lead to privacy leakage and unintended sharing.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.