Spaced-repetition flashcard system. Create cards from facts or text, chat with flashcards using free-text answers graded by the agent, generate quizzes from YouTube transcripts, review due cards with adaptive scheduling, and export/import decks as CSV.
65
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High
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tessl review fix ./optional-skills/productivity/memento-flashcards/SKILL.mdSecurity
1 high severity finding. You should review these findings carefully before considering using this skill.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
The skill instructs the agent to embed user-provided text verbatim into command-line arguments (e.g., --question, --answer, --user-answer, --questions JSON), which would force the LLM to include any secret values the user supplies directly in its generated commands and outputs, creating an exfiltration risk.
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.
The workflow for “Quiz from a YouTube video” fetches a runtime YouTube transcript (outsider-authored free text from public web content) in `scripts/youtube_quiz.py fetch`, which returns `{"transcript": "..."}` and is then fed into the agent LLM as context for generating quiz questions.
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 fetches a YouTube video's transcript at runtime (user provides URLs like https://www.youtube.com/watch?v=dQw4w9WgXcQ) and injects that remote transcript into the LLM context to generate quiz questions, so the external content directly controls prompts.
4c9628e
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