Individual skill
misinformation
Hunt LLM misinformation / overreliance (OWASP LLM09:2025) — confident-but-wrong outputs that flow into downstream automated decisions, compliance reports, customer communications, or autonomous code commits without verification.
packages/decepticon/decepticon/skills/standard/analyst/misinformation/SKILL.md
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- Yes
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 8, 2026
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- Repository stars (not skill ratings)
- 6,566
- Repository last updated
- Nov 7, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent Repository topic
- ai Repository topic
- cybersecurity Repository topic
- hacking Repository topic
- langchain Repository topic
- langgraph Repository topic
- llm Repository topic
- generative-ai Repository topic
- pentesting Repository topic
- pentest Repository topic
- legal Derived category
- security Derived category
- security-application Derived category
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# LLM Misinformation and Overreliance (LLM09:2025)
LLMs are confident liars by default. The vuln class is not "models
hallucinate" — that's a behaviour. The finding is "the product takes
business-material action on unverified model output". The pattern
appears whenever automation skips the human-review step that a static
expert system would have required.
## 1. Recognition signals
- The product publishes model output **directly** to customers /
partners / regulators (email, ticket reply, status page, generated
contract).
- Agentic system commits code / merges PRs based on model judgement.