Computer Use Agent Developer Skill

Building agents that interact with a desktop environment is fraught with reliability issues and security risks. This skill provides an engineering framework to design, architect, and audit computer-use agents that interpret UI state and execute actions through a controlled runtime. It moves beyond simple "click and hope" prompting by enforcing strict grounding, state verification, and deterministic policy gates. ## What it does - **Architectural Design** creates detailed blueprints for planner, perception, and executor layers. - **Workflow Decomposition** breaks high-level goals into observable steps with clear start/end states. - **Perception Strategy** defines how to handle accessibility trees, OCR, and coordinate grounding. - **Security Auditing** identifies vulnerabilities like prompt injection via screen content or unauthorized actions. - **Reliability Engineering** designs recovery paths for stale screenshots, focus loss, and navigation drift. ## How it works 1. **Define Scope** by providing your target OS, agent framework, and specific workflow objectives. 2. **Decompose Tasks** into a state machine that classifies actions as read-only, reversible, or consequential. 3. **Draft Action Contracts** including tool schemas, allowlists, and specific human-in-the-loop approval gates. 4. **Audit and Refine** existing implementations against the security checklist and risk matrix. ## Frameworks & tools Works with frameworks like Anthropic Computer Use, Playwright, Selenium, and LangChain. Compatible with any runtime utilizing accessibility metadata, OCR, or screenshot-based interaction. ## Why this beats prompting it yourself Generic prompts often ignore display scaling, race conditions, and prompt injection from untrusted screen text. This skill enforces a "fail-closed" architecture that separates reasoning from deterministic policy enforcement, ensuring consequential actions never fire without fresh authorization. ## Use cases - Designing a browser-based agent for complex internal CRM workflows. - Auditing an existing RPA agent for security vulnerabilities and injection risks. - Building a robust perception layer that handles dynamic UI layout shifts. - Implementing a multi-step desktop automation with mandatory human approval gates. ## Known limitations Does not execute actions or control your mouse/keyboard directly. Requires a separate, authorized runtime environment. Visual interpretation depends on the quality of provided screenshots or metadata.