Research: firebase-ai-logic-basics
Cached research evidence for firebase-ai-logic-basics (not authority).
Purpose
Section titled “Purpose”Official Firebase skill for integrating Firebase AI Logic (Gemini API) into web (and mobile) apps. Covers setup, multimodal inference (text, images, audio, video, PDFs), structured output/JSON, security (App Check), client-side only without backend, hybrid on-device where available (Gemini Nano).
Harness Coverage
Section titled “Harness Coverage”Target agents: antigravity, claude-code, codex, crush, cursor, gemini-cli, github-copilot, grok, opencode.
Trust And Risks
Section titled “Trust And Risks”trust_tier=needs-inspection; status=inspect-then-install; provenance=verified-install-command; official Google/Firebase org (github.com/firebase/agent-skills); high provenance; AI/LLM integration touches model keys, usage quotas, data handling - inspect for billing/security posture and App Check enforcement even from trusted source.
Install Prerequisites
Section titled “Install Prerequisites”Install: npx skills add firebase/agent-skills --skill firebase-ai-logic-basics --skill firebase-app-hosting-basics --skill firebase-auth-basics -y -g -a antigravity claude-code codex crush cursor gemini-cli github-copilot grok opencode; status=inspect-then-install; selector=named; policy=Inspect source, hooks, scripts, credentials, and dedupe before install.
Upstream Maintainer
Section titled “Upstream Maintainer”firebase/agent-skills (official Firebase/Google)
Comparable Alternatives
Section titled “Comparable Alternatives”Other Gemini/Vertex or LLM client integration skills; general Firebase basics skills; langchain or direct SDK skills for AI.
> Evidence synthesized from public web sources (GitHub repos, official docs, skill registries); confidence reflects source reputation and public signals only. Not an endorsement.