google-imagen-3-hyperrealistic-landscape
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
Generate hyperrealistic landscape photography using Google Imagen 3. Use when creating breathtaking natural scenes, landscapes, and nature photography with exceptional detail and realism.
- Package
- 4 files, 4.2 KB
- SKILL.md
- 212 words, 9 sections
- Code
- Python (1)
SKILL.md covers: Google Imagen 3 - 超写实风景 · 描述 · 类型 · Prompt · 特性 · 谷歌生图 相关特性 · 使用建议 · 参数调整 · 最佳实践
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 1.8 KB |
assets/example_asset.txt | doc | 865 B |
references/api_reference.md | doc | 991 B |
scripts/example.py | script | 639 B |
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-imagen-3-hyperrealistic-landscape
- Raw scan result: google-imagen-3-超写实风景-scan.json
- Badge for your README:
- Request a re-scan