ClawHub
Back to skill

Security audit

Weights & Biases Monitor

Security checks for vulnerabilities and agentic risk

Overview

This skill is a straightforward W&B monitoring helper that reads training run data using the user's W&B access, with minor disclosure and trigger-scope notes.

Install this only if you are comfortable letting the agent use your configured W&B credentials to read run metadata, configs, summaries, and histories. Specify the intended entity/project/run IDs explicitly, especially for watch_runs.py, to avoid querying the built-in defaults.

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 (2)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The trigger list includes broad natural-language phrases like "how's training", "any failures", and "compare runs", which can overlap with ordinary conversation and cause the skill to activate unintentionally. In a monitoring skill that may query external W&B data and influence agent behavior, over-broad activation increases the chance of inappropriate data access, context switching, or unintended execution of analysis workflows.

Content

No source excerpt is available for this finding.

Missing User Warnings

Low
Category
Not specified by scanner
Confidence
83% confidence
Finding

This Python file instantiates the W&B API and fetches runs plus full histories from the service, which is a network operation that may transmit credentials and retrieve remote project data. Although the module docstring explains the comparison purpose, it does not disclose the outbound API access or data retrieval behavior.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.