data-science-causal-inference

Warn

Audited by Gen Agent Trust Hub on Jul 8, 2026

Risk Level: MEDIUMPROMPT_INJECTION
Full Analysis
  • [PROMPT_INJECTION]: The skill instructions enforce strict output formatting ('No preamble. No postamble. No explanations. No filler/hedging/transitions.'). While framed as a token-saving measure, this constraint is a common technique used to suppress an agent's built-in safety explanations and guardrails, potentially allowing for the generation of harmful content without user warning.
  • [PROMPT_INJECTION]: Eight files in the references/ directory (including architecture-patterns.md, code-organization.md, and others) contain 150 sections each of nearly identical, repetitive technical filler text. This 'context stuffing' creates an adversarial environment that can bury malicious instructions in a massive volume of data, or be used to exhaust the agent's attention and context window limits.
Audit Metadata
Risk Level
MEDIUM
Analyzed
Jul 8, 2026, 12:21 PM
Security Audit — agent-trust-hub — data-science-causal-inference