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aip-user-stories

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.

68

Quality

84%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Low

Low-risk findings.

2 low severity findings. Worth noting, but not necessarily harmful.

Low

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

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).

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Low

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 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.

Repository
apache/airflow
Audited
Security analysis
Snyk

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