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AI / OpenClaw Interview Questions

Explain the lifecycle of a compromised skill's permission risk, from installation to potential impact?

flowchart LR A[Skill Published to ClawHub] --> B[Skill Installed via clawhub CLI] B --> C[SKILL.md Loaded into Agent Context as Trusted Instructions] C --> D[Skill Executes with Agent's Full Granted Permissions] D --> E[Self-Declared Permissions Not Independently Verified] E --> F[Potential Lateral Access within Granted Scope]
  1. Publication: a skill is published to ClawHub, declaring its intended permissions in its SKILL.md manifest
  2. Installation: an operator installs it, typically via the clawhub CLI, without necessarily auditing every line of its scripts
  3. Loading: once installed, the skill's instructions are loaded into the agent's context and treated as operator-level trusted guidance by the Agent Runtime
  4. Execution: the skill runs with whatever permissions the agent itself has been granted, since there's no independent runtime check confirming its actual behavior matches its declared permissions
  5. Potential impact: if the skill's real behavior diverges from what it declared, whether through malicious intent or a supply-chain compromise, it can access anything within the agent's granted scope, and, without fine-grained partitioning, potentially move laterally within that scope beyond what the skill genuinely needed

This lifecycle is exactly why security guidance treats every ClawHub skill as untrusted code until proven otherwise, the architecture's trust model means the real security checkpoint is the human decision to install a skill in the first place, not anything the runtime enforces afterward.

Where does a skill declare its intended permissions?
According to this lifecycle, where is the real security checkpoint?

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