google-gemini-media
No security findings. Scanned 1 time, most recently 2026-02-06.
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
Use the Gemini API (Nano Banana image generation, Veo video, Gemini TTS speech and audio understanding) to deliver end-to-end multimodal media workflows and code templates for "generation + understanding".
- Package
- 1 file, 18 KB
- SKILL.md
- 2337 words, 12+ sections
- Code
- None. Instructions only.
- License
- MIT
SKILL.md covers: Gemini Multimodal Media (Image/Video/Speech) Skill · 1. Goals and scope · 2. Quick routing (decide which capability to use) · 3. Unified engineering constraints and I/O spec (must read) · 3.0 Prerequisites (dependencies and tools) · 3.1 Authentication and environment variables · 3.2 Two file input modes: Inline vs Files API · 3.3 Unified handling of binary media outputs · 4. Model selection matrix (choose by scenario) · 4.1 Image generation (Nano Banana) · 4.2 General image/video/audio understanding · 4.3 Video generation (Veo)
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 18 KB |
External hosts referenced
generativelanguage.googleapis.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.
Environment variables referenced
GEMINI_API_KEY
Package contents recorded 2026-10-22. 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.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Llm analyzer. A language model reads the skill and reports intent-level issues the rules cannot express.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
- Meta analyzer. A second model pass that validates, deduplicates and re-scores the other analyzers' findings.
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://clawhub.ai/skills/google-gemini-media
- Raw scan result: google-gemini-media-scan.json
- Badge for your README:
- Request a re-scan