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LLM-powered GitHub actions are becoming popular, with more than 10,000 public workflows using anthropics/claude-code-action at the time of writing. However, when presented with untrusted input, even modern models are vulnerable to prompt injection. As an illustration, the Opus 4.6 system card estimates that an attacker has a 21.7% probability of successfully triggering a prompt injection if given 100 attempts.，详情可参考超级工厂