opensourcefaq
解答与开源产品有关的深度技术问题，输出图文并茂的 Markdown 技术文章。触发条件：用户提出与开源项目（如 PostgreSQL、Redis、Kafka、Kubernetes、ClickHouse、Flink 等）相关的技术问题，并提供源码目录或 URL、deepwiki repo 名称。即使用户只说"帮我解答这个开源问题"或"分析一下这个项目的某个机制"，也应使用本 skill。输出文章保存到项目 markdown/ 目录，要求直击问题、图文并茂、有实操细节和原理分析。
62
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Low
Low-risk findings worth noting
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Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
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.
Why it was flagged
Phase 2 将用户提供的“源码目录 / URL”、DeepWiki 内容（read_wiki_contents / ask_question）以及运行时 web_fetch / web_search 获取的网页自由文本纳入后续 LLM 上下文，用于生成文章与验证，从而可能把“公开网络内容/外部仓库文档与页面里的注入性文字”经由工具读取后进入模型上下文。
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
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.
Why it was flagged
The skill explicitly states it will use web_fetch at runtime to pull files from a provided GitHub URL (example: https://github.com/postgres/postgres), which will be injected into the agent's context and thus can directly control prompts/output.
- Repository
- digoal/blog
- Commit
3b9c83d
- Audited
- Security analysis
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