Direct an animated film of about two minutes from a software repository's Git history. Select real commits, releases and reverts; develop the story, character and visual style; build an outline, cast sheet, storyboard and HTML review studio; then render a 4K/60fps MP4 after approval. Use for repository or product promos, launches, anniversaries, release stories, codebase timelines, character-led project histories, and requests such as "make a video about our project" or "show how this product grew." Not for UI screen recordings, slide decks, or commit-statistics charts.
78
98%
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Low
Low-risk findings worth noting
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 workflow directs the agent to clone a repository via a user-supplied GitHub URL and execute `python3 scripts/git_timeline.py <repo>` to read git commits, issues, and message text.
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 instruction set for git-story-film relies on `git clone` using a user-supplied URL during setup, which is an external inbound operational dependency on an arbitrary repository, evaluated as weak/unknown provenance (high tier).
EverMind-AI/Raven
25e1b23
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