firebase-ai-logic
Integrate Firebase AI Logic
Developers often need Firebase AI features without maintaining a separate backend. This skill guides setup, Gemini model usage, multimodal prompts, structured output, and production security for web apps.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "firebase-ai-logic" from https://skillstore.io/skills/firebase-firebase-ai-logic.md and its manifest at https://skillstore.io/api/skills/firebase-firebase-ai-logic/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "firebase-ai-logic". Set up Firebase AI Logic for a web prototype.
Expected outcome:
- Provider recommendation with rationale.
- Prerequisite checklist.
- Setup sequence with user confirmation points.
- Links to relevant Firebase documentation.
Using "firebase-ai-logic". Plan a multimodal image caption feature.
Expected outcome:
A workflow covering file handling, MIME type checks, Gemini prompt design, and response display considerations.
Using "firebase-ai-logic". Prepare for production launch.
Expected outcome:
- App Check readiness notes.
- Remote Config model update plan.
- Quota and billing risk checklist.
Security Audit
SafeMost detections are documentation snippets, Firebase SDK method names, or Firebase documentation URLs and are false positives. Four setup commands are confirmed medium-risk external command guidance because they install or run latest npm packages and can change Firebase project state. No evidence of prompt injection, credential exfiltration, or malicious intent was found.
Capability review items (4)
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
Risk Factors
โ๏ธ External commands (10)
๐ Network access (5)
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APA citation
firebase. (2026). firebase-ai-logic security audit report (audit version 6) [Author version 1.0.0]. Skillstore. https://skillstore.io/skills/firebase-firebase-ai-logic/audits/6BibTeX citation
@techreport{firebase-firebase-firebase-ai-logic-2026,
author = {firebase},
title = {firebase-ai-logic security audit report (audit version 6)},
institution = {Skillstore},
year = {2026},
number = {6},
url = {https://skillstore.io/skills/firebase-firebase-ai-logic/audits/6},
note = {Author version 1.0.0}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "firebase-ai-logic security audit report (audit version 6)"
version: "1.0.0"
type: report
authors:
- name: "firebase"
date-released: "2026-07-09"
url: "https://skillstore.io/skills/firebase-firebase-ai-logic/audits/6"
identifiers:
- type: other
value: "skillstore:firebase-firebase-ai-logic:audit:6"
description: "Skillstore immutable audit report identifier"
Compare variants
2 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
supercent-io-firebase-ai-logic
2026-08-21
firebase-firebase-ai-logic
2026-08-21
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Add Gemini text features
A web developer can initialize Firebase AI Logic and call Gemini for text generation.
Plan multimodal workflows
A product engineer can map image, audio, video, and PDF inputs to Firebase AI Logic patterns.
Prepare production controls
A Firebase lead can review App Check, model configuration, and provider selection before launch.
Try These Prompts
Help me add Firebase AI Logic to a web app. Check prerequisites, explain provider choice, and list the safest setup steps.
Guide me through accepting an image file in a web app and sending it to Gemini with Firebase AI Logic.
Design a chat flow using startChat and streaming responses. Include state handling, loading states, and error handling.
Review my Firebase AI Logic launch plan. Focus on App Check, Remote Config model selection, quota protection, and billing risks.
Best Practices
- Ask before running npm or Firebase CLI commands, especially global installs.
- Enable Firebase App Check before exposing AI calls in production clients.
- Use Remote Config for model names when teams need controlled updates.
Avoid
- Running npx commands with automatic yes flags without user approval.
- Hardcoding model versions across client releases without an update path.
- Sending large files inline when Cloud Storage URLs are more appropriate.
Frequently Asked Questions
Does this skill create a Firebase project?
Which provider does it recommend by default?
Does it support mobile platforms?
Can it help with structured output?
What security controls are covered?
Are external commands required?
Developer Details
Author
firebaseLicense
MIT
Author version
v1.0.0
Skillstore revision
r1
Ref
0519034dad657fb1f7706e0550e962beeda73fdf
Maintenance freshness
7/18/2026
Usage
2 downloads ยท 96 views
File structure