ai-engineer
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.
68
60%
Does it follow best practices?
Impact
73%
1.17xAverage score across 3 eval scenarios
Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./skills/ai-engineer/SKILL.mdThe canonical home for this skill is jbvc/ai-engineer
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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: 0.80). The SKILL.md explicitly lists "Document processing: PDF extraction, web scraping, API integrations" and "Tool integration: web search" and even includes the example "Build an AI agent that can browse the web and perform research tasks," which shows the agent is expected to fetch and read untrusted public web content (third‑party pages) that can materially influence its actions.
- Repository
- rmyndharis/antigravity-skills
- Commit
e63f7dd
- 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.