Generate verified recipe playbooks from AIPs with PR implementations (post mode), or speculative user stories from AIPs without implementations (pre mode). Use when the user provides an AIP URL or AIP content, optionally with PR URLs and file paths.
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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.
Yes: in both modes the required workflow ingests AIP text from an OUTSIDER URL via WebFetch (e.g., `https://cwiki.apache.org/...`) or from user-pasted content, and that fetched/pasted free text is then analyzed and used to generate output in the LLM context (i.e., runtime prompt content originates from outsider-authored AIP/Confluence 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 explicitly fetches AIP content from Confluence (e.g., https://cwiki.apache.org/confluence/display/AIRFLOW/AIP-76) and PR data from GitHub (URLs starting with https://github.com/apache/airflow/pull/), which are retrieved at runtime and directly control the agent's instructions and outputs.
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