Scan a target codebase path, classify the most informative diagram kind, then render it as BOTH a PlantUML source file AND a draw.io XML in parallel, and compose them into a single architecture doc. Use when writing an RFC or onboarding doc and you want a text-friendly (PlantUML) and an editable (drawio) view of the same architecture.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. 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.
Yes—`render_drawio` and `render_drawio`→`compose_doc` are fed `{{ outputs.scan_repo | truncate(2000) }}` which is produced from the runtime codebase scan (outsider-authored repo content if the user scans untrusted sources), so free text from that scan can enter the LLM context via the `task: | ... Scan output: --- {{ outputs.scan_repo ... }} ---` blocks.
94ac35e
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