ge-demo-generator
ge-demo-generator is an Agent frameworks & building agents skill for AI agents, published by GoogleCloudPlatform in the generative-ai repository on GitHub. Skillspace rates ge-demo-generator F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Synthesizes and deploys complete, domain-specific Gemini Enterprise demo environments directly to Google Cloud. Use when the user asks to create an AI agent demo for any customer domain (e.g. 'example.com', 'example.co.jp', 'example.de', 'example.fr' - any company, any industry, any region) or business goal, generate realistic BigQuery/Firestore sample datasets, create external demo files (PDF, Excel, scanned images), stage them in Cloud Storage and upload them to the deploying account's Google Drive, scaffold ADK multi-agent architectures with MCP tools and A2UI cards, deploy to Cloud Run, publish to Gemini Enterprise, and generate 7 structured demo prompts in any language. Confirms the requirements interactively and presents a demo architecture & data model plan (Mermaid ER diagram, external file lineage, target project) for approval before anything is deployed. Also triggered by /ge-demo-generator.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 17,693
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 71 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- exfiltration language
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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