
Developed a security-focused feature for the MoonshotAI/kimi-cli repository, introducing configurable prompt injection suppression in YOLO mode to address prompt-based vulnerabilities in KimiSoul-powered applications. Leveraging Python for backend and API development, the solution allows deployments to customize prompt handling behavior through configuration management, directly supporting the CLI security hardening roadmap. The work was delivered as a single, well-documented commit with explicit author attribution, ensuring end-to-end traceability. By enabling applications to reduce risk from prompt injection attacks, this feature improved both reliability and governance for downstream users, reflecting a methodical approach to security and maintainability within the codebase.
April 2026: Security-focused feature delivery for MoonshotAI/kimi-cli. Implemented a configurable prompt injection suppression in YOLO mode (inject_yolo_prompt), enabling KimiSoul-based applications to customize behavior and reduce prompt-based vulnerabilities, thereby improving reliability and security. The change is tracked with a single committed change (0c6c9300db0e49efc0c569f8b9d1dc65c2063ad5) and includes proper sign-off and attribution. This work aligns with the CLI security hardening roadmap and provides measurable risk reduction for deployments.
April 2026: Security-focused feature delivery for MoonshotAI/kimi-cli. Implemented a configurable prompt injection suppression in YOLO mode (inject_yolo_prompt), enabling KimiSoul-based applications to customize behavior and reduce prompt-based vulnerabilities, thereby improving reliability and security. The change is tracked with a single committed change (0c6c9300db0e49efc0c569f8b9d1dc65c2063ad5) and includes proper sign-off and attribution. This work aligns with the CLI security hardening roadmap and provides measurable risk reduction for deployments.

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