ai-avatar-video
Verdict safe, but 1 finding (1 info), mainly policy violation. Most recent scan 2026-10-22.
Byte-identical copies of this skill are also published by magentosh, qu-skills. Same SKILL.md, same files; each copy is scanned separately so divergence shows up here.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ languages, emotion steering for characters), ElevenLabs, Kokoro. Capabilities: audio-driven avatars, text-to-avatar, lipsync videos, talking head generation, virtual presenters, UGC content. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos, UGC ads, gaming avatars, NPC dialogue. Triggers: ai avatar, talking head, lipsync, avatar video, virtual presenter, ai…
- Package
- 1 file, 9.4 KB
- SKILL.md
- 1125 words, 12+ sections
- Code
- None. Instructions only.
- Allowed tools
Bash(belt*)
SKILL.md covers: AI Avatar & Talking Head Videos · Quick Start · Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS) · Available Models · Cost & Speed Comparison · Examples · P-Video-Avatar (Recommended) · Full Workflow: Generate Portrait + Avatar · 1. Generate a portrait image · 2. Create avatar video with built-in TTS · OmniHuman 1.5 (Multi-Character) · Fabric 1.0 (Image Talks)
Findings
INFO Skill does not specify a license Policy Violationstatic
Skill manifest does not include a 'license' field. Specifying a license helps users understand usage terms.
SKILL.md
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 9.4 KB |
External hosts referenced
portrait.jpg inference.sh cloud.inference.sh face.jpg presenter-photo.jpg raw.githubusercontent.com
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Package contents recorded 2026-10-22 at commit becc25649700. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/101-skills/superpowers
- Raw scan result: 101-skills-superpowers-tools-video-ai-avatar-video-scan.json
- Badge for your README:
- Request a re-scan