videodb
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.
60
72%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Advisory
Suggest reviewing before use
Fix and improve this skill with Tessl
tessl review fix ./skills/videodb/SKILL.mdSecurity
1 medium severity finding. This skill can be installed but you should review these findings before use.
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
Third-party content exposure detected (high risk: 0.75). Yes—`scripts/ws_listener.py` receives WebSocket messages from VideoDB capture/RTStream pipelines and writes their `data.text`/event payloads into `videodb_events.jsonl`, which can later be read and used as LLM prompt context (outsider-authored transcript/visual text from other people’s speech/screen activity).
- Repository
- affaan-m/ECC
- Commit
754b8dd
- Audited
- Security analysis
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.