Answer open-source product questions by combining local source-code and documentation research, project framework notes generated by init, DeepWiki repository knowledge, and current web evidence, then save a sourced, diagram-rich Markdown answer to the current project's markdown directory. Use when the user asks about behavior, architecture, internals, configuration, APIs, troubleshooting, performance, operations, extension points, practical reproduction, or version-specific details of one or more open-source projects and provides the question, all relevant local source directories, and DeepWiki repoName values.
69
84%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
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.
The required workflow instructs the agent to “search the web” and “browse DeepWiki… for the listed repoName values,” which at runtime can ingest outsider-authored free text from public web pages and external DeepWiki/repo content into the LLM’s context for summarization/citation.
3b9c83d
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.