Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. Use when Codex needs to design tools, register UI resources, wire the MCP Apps bridge or ChatGPT compatibility APIs, apply Apps SDK metadata or CSP or domain settings, or produce a docs-aligned project scaffold. Prefer a docs-first workflow by invoking the openai-docs skill or OpenAI developer docs MCP tools before generating code.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The required workflow explicitly fetches Apps SDK docs and examples via `$openai-docs`/OpenAI developer-Docs MCP at runtime, which entails retrieving outside-authored documentation text and injecting it into the agent’s context for grounding (e.g., SKILL.md:21-38, SKILL.md:23-30, plus references/apps-sdk-docs-workflow.md baseline pages).
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill declares and uses a runtime OpenAI developer-docs MCP endpoint (https://developers.openai.com/mcp) and explicitly instructs fetching multiple developers.openai.com docs at runtime to drive scaffold generation, meaning external content fetched during runtime can directly control prompts and generated code.
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