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How do AGENTS.md files work?

AGENTS.md files help Codex and similar AI tools understand project-specific instructions, coding conventions, and organizational structures. They can reside anywhere within a Codex container, providing valuable context to AI agents. Like other project configuration files, these instructions are treated as trusted context by the agent. This trust model is by design, but it creates an interesting attack surface when a malicious dependency is able to write or modify these files at build time.

Mitigating Indirect AGENTS.md Injection Attacks in Agentic Environments | NVIDIA Technical Blog
What are the implications and risks for agent-assisted development?

This attack path highlights important considerations for the future of agent-assisted development. Extended supply chain risk: Traditional supply chain attacks focus on injecting malicious code directly. In agentic environments, a compromised dependency can also redirect the agent itself, extending familiar supply chain risks into a new dimension, such as injecting subtle delays that cause performance degradation or denial-of-service scenarios.   Instruction following under adversarial conditions: When the agent followed injected configuration directives, including instructions to conceal its

Mitigating Indirect AGENTS.md Injection Attacks in Agentic Environments | NVIDIA Technical Blog
theverge.com › ai-artificial-intelligence › 929001

The chair of OpenAI’s safety and security committee said they’ve formally delayed its model releases.

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May 12, 2026 · Hayden Field