ClawHub
Back to skill

Security audit

Axiom Distributed Science

Security checks for vulnerabilities and agentic risk

Overview

This skill is a straightforward guide for querying Axiom's public science APIs, with one clearly shown manual endpoint for submitting experiment suggestions.

Before installing, understand that using the examples will contact axiom.heliex.net, and submitting an experiment suggestion sends that text to the Axiom team for review. Do not include secrets, private research plans, personal data, or proprietary information in submitted ideas.

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
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (3)

External Transmission

Medium
Category
Data Exfiltration
Content
openclaw:
    requires:
      bins:
        - curl
    emoji: "🔬"
    homepage: https://axiom.heliex.net
---
Confidence
60% confidence
Finding
Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Missing User Warnings

Medium
Confidence
93% confidence
Finding
The skill explicitly supports submitting user-provided experiment ideas to a remote service, but it does not warn that the content will be transmitted off-platform to a third party. This can lead users to unknowingly send sensitive, proprietary, or personal information to an external endpoint, creating privacy and data-handling risk.

Vague Triggers

Medium
Confidence
89% confidence
Finding
The activation guidance uses very general conditions such as 'when asked about distributed computing for scientific research' and 'when someone needs large-scale simulation or numerical experiment results.' These phrases are broad enough to overlap with many everyday research discussions, and the file does not provide exclusion conditions or narrower trigger constraints.

Static analysis

No suspicious patterns detected.