Verify NEAR AI Cloud Private Inference
Private AI deployments need proof that prompts and responses stay inside trusted hardware. This skill guides NEAR AI Cloud integration, attestation checks, and signed response verification.
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "near-ai-cloud" from https://skillstore.io/skills/internet-court-near-ai-cloud.md and its manifest at https://skillstore.io/api/skills/internet-court-near-ai-cloud/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.
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Using "near-ai-cloud". I need to add NEAR AI Cloud to an existing OpenAI SDK integration.
Expected outcome:
The skill returns a concise migration plan with the NEAR base URL, credential placement, model selection, and verification follow-up.
Using "near-ai-cloud". I need to confirm a model runs inside trusted hardware.
Expected outcome:
The skill produces an attestation checklist covering fresh nonces, NVIDIA result fields, Intel TDX quote validation, and signer matching.
Using "near-ai-cloud". I need to choose between private and anonymised models.
Expected outcome:
The skill summarizes model options by privacy type, context size, cost, and recommended workloads.
All 64 static detections occur in documentation examples or endpoint references. The examples intentionally use the NEAR AI Cloud API, environment-based API keys, and local nonce generation; no credential exfiltration, arbitrary command execution, or prompt-injection text was found.
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
https://skillstore.io/skills/internet-court-near-ai-cloud/audits/2?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/internet-court-near-ai-cloud?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/internet-court-near-ai-cloud?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/internet-court-near-ai-cloud/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/internet-court-near-ai-cloud.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>internet-court. (2026). near-ai-cloud security audit report (audit version 2) [Author version 1.0.0]. Skillstore. https://skillstore.io/skills/internet-court-near-ai-cloud/audits/2@techreport{internet-court-internet-court-near-ai-cloud-2026,
author = {internet-court},
title = {near-ai-cloud security audit report (audit version 2)},
institution = {Skillstore},
year = {2026},
number = {2},
url = {https://skillstore.io/skills/internet-court-near-ai-cloud/audits/2},
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: "near-ai-cloud security audit report (audit version 2)"
version: "1.0.0"
type: report
authors:
- name: "internet-court"
date-released: "2026-07-21"
url: "https://skillstore.io/skills/internet-court-near-ai-cloud/audits/2"
identifiers:
- type: other
value: "skillstore:internet-court-near-ai-cloud:audit:2"
description: "Skillstore immutable audit report identifier"
Application developers can route OpenAI-compatible clients to NEAR AI Cloud while preserving private inference requirements.
Security engineers can review nonce handling, NVIDIA NRAS fields, Intel TDX checks, and signing address binding.
Product teams can compare private and anonymised models for cost, context size, privacy, and capability fit.
Show me how to configure an OpenAI-compatible client for NEAR AI Cloud. Use the base URL and a placeholder API key.
Compare the listed NEAR AI Cloud models for my coding assistant. Explain privacy type, context size, cost, and task fit.
Create a verification checklist for a model attestation response. Include nonce freshness, NVIDIA NRAS fields, Intel TDX checks, and signing address binding.
Design an end-to-end trust flow for private chat responses. Include attestation, message signatures, replay protection, and operational failure cases.
Author
internet-courtLicense
MIT
Author version
v1.0.0
Skillstore revision
r1
Repository
https://github.com/internet-court/internet-court-skill/tree/main/vendored/near/near-ai-cloudRef
3f6e026a3363e0954ede7bef0cfe88d4475de137
Maintenance freshness
7/21/2026
Usage
1 downloads · 0 views
File structure
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