watch
Watch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.
63
76%
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High
Do not use without reviewing
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tessl review fix ./skills/watch/SKILL.mdSecurity
1 high severity finding. You should review these findings carefully before considering using this skill.
W007: Insecure credential handling detected in skill instructions.
What this means
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.
Why it was flagged
The prompt explicitly tells the agent to AskUserQuestion for Groq/OpenAI API keys and then write lines like GROQ_API_KEY=... or OPENAI_API_KEY=... into ~/.config/watch/.env, which requires the LLM to accept and embed secret values verbatim (high exfiltration risk).
Low
Low-risk findings.
1 low severity finding. 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
Yes: the required runtime flow downloads captions from a user-supplied public URL via `yt-dlp` (outsider-origin text) and then parses/prints that caption text into the LLM context (`scripts/watch.py` → `scripts/download.py` writes `.vtt` → `scripts/transcribe.py` reads VTT and constructs `transcript_text`, which `watch.py` embeds in its stdout under “## Transcript”).
- Repository
- bradautomates/claude-video
- Commit
83da59f
- Audited
- Security analysis
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