Build AI-Native Applications
Teams need reliable patterns for adding LLMs, retrieval, tools, and agents to production software. This skill provides practical templates and references for RAG, vector search, function calling, observability, and cost control.
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Review the Skillstore skill "ai-native-development" from https://skillstore.io/skills/ariegoldkin-ai-native-development.md and its manifest at https://skillstore.io/api/skills/ariegoldkin-ai-native-development/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.Your Agent should still show its plan and request any confirmation required by the security policy.
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Using "ai-native-development". Design a RAG assistant for HR policy documents.
Expected outcome:
Using "ai-native-development". Review my agent tools before launch.
Expected outcome:
Using "ai-native-development". Reduce cost for an LLM feature.
Expected outcome:
Most static findings are false positives caused by JavaScript template literals, documentation links, and environment-variable examples in educational material. One real high-risk example uses eval() in a calculator tool, and the agent template should add explicit approval before email or other external side effects.
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
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https://skillstore.io/skills/ariegoldkin-ai-native-development/audits/11?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/ariegoldkin-ai-native-development?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/ariegoldkin-ai-native-development?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/ariegoldkin-ai-native-development/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/ariegoldkin-ai-native-development.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>AI Agent Hub. (2026). ai-native-development security audit report (audit version 11) [Author version 1.0.0]. Skillstore. https://skillstore.io/skills/ariegoldkin-ai-native-development/audits/11@techreport{ai-agent-hub-ariegoldkin-ai-native-development-2026,
author = {AI Agent Hub},
title = {ai-native-development security audit report (audit version 11)},
institution = {Skillstore},
year = {2026},
number = {11},
url = {https://skillstore.io/skills/ariegoldkin-ai-native-development/audits/11},
note = {Author version 1.0.0}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "ai-native-development security audit report (audit version 11)"
version: "1.0.0"
type: report
authors:
- name: "AI Agent Hub"
date-released: "2026-07-09"
url: "https://skillstore.io/skills/ariegoldkin-ai-native-development/audits/11"
identifiers:
- type: other
value: "skillstore:ariegoldkin-ai-native-development:audit:11"
description: "Skillstore immutable audit report identifier"
Use the retrieval and citation patterns to design a grounded chatbot for product documentation or internal knowledge bases.
Apply the ReAct and multi-agent examples to break complex tasks into tool-backed agent steps with clear limits.
Use the observability and cost guidance to add tracing, budget checks, quality evaluation, and debugging workflows.
Help me choose a RAG architecture for my application. My data sources are [describe sources], users ask [describe questions], and my constraints are [latency, cost, privacy]. Recommend chunking, retrieval, and vector database choices.
Use this skill to outline a grounded Q&A flow with citations. Include ingestion, embeddings, retrieval, prompt construction, answer generation, and validation steps for [application context].
Review this proposed agent tool list for safety and reliability: [paste tools]. Identify missing schemas, approval gates, validation needs, and iteration limits before implementation.
Design a production observability plan for an AI application that uses [model], [retrieval system], and [tools]. Include metrics, traces, evaluations, cost alerts, failure modes, and dashboards.
Author
AI Agent HubLicense
MIT
Author version
v1.0.0
Skillstore revision
r1
Ref
7db9b9f06e0ab79c575b58bc48c4d8dc9849f424
Maintenance freshness
7/18/2026
Usage
6 downloads · 240 views
File structure
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