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Shows how to call NEAR AI Cloud through an OpenAI-compatible API and verify that inference ran in a TEE, using attestation checks and signed chat responses.
Install NEAR AI Cloud Private Inference
$ npx skills add internet-court/internet-court-skill --skill near-ai-cloud -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install internet-court/internet-court-skill near-ai-cloud --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/internet-court/internet-court-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/vendored/near/near-ai-cloud .claude/skills/near-ai-cloud && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "near-ai-cloud" agent skill from https://github.com/internet-court/internet-court-skill/tree/main/vendored/near/near-ai-cloud into .claude/skills/near-ai-cloud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "near-ai-cloud", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/internet-court/internet-court-skill/tree/main/vendored/near/near-ai-cloudType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add internet-court/internet-court-skill --skill near-ai-cloud -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install internet-court/internet-court-skill near-ai-cloud --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/internet-court/internet-court-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/vendored/near/near-ai-cloud .agents/skills/near-ai-cloud && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "near-ai-cloud" agent skill from https://github.com/internet-court/internet-court-skill/tree/main/vendored/near/near-ai-cloud into .agents/skills/near-ai-cloud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "near-ai-cloud", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add internet-court/internet-court-skill --skill near-ai-cloud -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install internet-court/internet-court-skill near-ai-cloud --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/internet-court/internet-court-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/vendored/near/near-ai-cloud .cursor/skills/near-ai-cloud && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "near-ai-cloud" agent skill from https://github.com/internet-court/internet-court-skill/tree/main/vendored/near/near-ai-cloud into .cursor/skills/near-ai-cloud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "near-ai-cloud", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/internet-court/internet-court-skill.git --path vendored/near/near-ai-cloud--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add internet-court/internet-court-skill --skill near-ai-cloud -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install internet-court/internet-court-skill near-ai-cloud --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/internet-court/internet-court-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/vendored/near/near-ai-cloud .gemini/skills/near-ai-cloud && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "near-ai-cloud" agent skill from https://github.com/internet-court/internet-court-skill/tree/main/vendored/near/near-ai-cloud into .gemini/skills/near-ai-cloud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "near-ai-cloud", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install internet-court/internet-court-skill near-ai-cloudInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add internet-court/internet-court-skill --skill near-ai-cloud -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/internet-court/internet-court-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/vendored/near/near-ai-cloud .github/skills/near-ai-cloud && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "near-ai-cloud" agent skill from https://github.com/internet-court/internet-court-skill/tree/main/vendored/near/near-ai-cloud into .github/skills/near-ai-cloud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "near-ai-cloud", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add internet-court/internet-court-skill --skill near-ai-cloud -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install internet-court/internet-court-skill near-ai-cloud --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/internet-court/internet-court-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/vendored/near/near-ai-cloud .opencode/skills/near-ai-cloud && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "near-ai-cloud" agent skill from https://github.com/internet-court/internet-court-skill/tree/main/vendored/near/near-ai-cloud into .opencode/skills/near-ai-cloud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "near-ai-cloud", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
near-ai-cloud- GitHub stars
- 6.6k
- Used in
- 1 other repo
- Token cost
- ~1.3k tokens
- SKILL.md length
- 291 words
- Files
- 4 (incl. references)
- Skills in repo
- 80
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Shows how to call NEAR AI Cloud through an OpenAI-compatible API and verify that inference ran in a TEE, using attestation checks and signed chat responses.
- Integrating NEAR AI Cloud as an OpenAI-compatible chat endpoint
- SKILL.md covers Quick Start, How It Works, Verification Flow and API Endpoints, plus 3 more sections
- Reaches cloud-api.near.ai
- Verifying model or gateway attestation with NVIDIA NRAS and Intel TDX
What it does
NEAR AI Cloud runs inference inside Intel TDX confidential VMs with NVIDIA TEE GPUs, and TLS ends inside the enclave rather than at a load balancer. Because the API is OpenAI-compatible, you point an existing OpenAI SDK at https://cloud-api.near.ai/v1, and the skill gives Python and JavaScript starting points.
The verification flow starts with a random nonce, requests a model attestation (a signing address, an NVIDIA payload and an Intel quote), checks the GPU evidence with NVIDIA NRAS, and then binds the attested signing address to the signature on each chat response. Endpoints cover chat completions, model lists, model and gateway attestation reports and chat signatures. Signing keys use ecdsa or ed25519. Two reference files cover model verification and private versus anonymised modes.
When your agent uses it
- Integrating NEAR AI Cloud as an OpenAI-compatible chat endpoint
- Verifying model or gateway attestation with NVIDIA NRAS and Intel TDX
- Checking chat message signatures after a completion
- Adding end-to-end encrypted chat on top of the API
Example prompts
- “Point my existing OpenAI client at NEAR AI Cloud and run a chat completion.”
- “Write a script that fetches model attestation and verifies the GPU payload with NVIDIA NRAS.”
- “Verify the signature for the chat id from my last response against the attested signing address.”
Requirements
- An OpenAI SDK for Python or JavaScript
- Network access to cloud-api.near.ai
What it can do on your machine
Read from SKILL.md and the folder at commit fa89195. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python and javascript).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
cloud-api.near.ai
Also links to:
github.comcloud.near.aidocs.near.aidocs.api.nvidia.comproof.t16z.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
NEAR AI Cloud Private Inference loads about 1.3k tokens when it runs, and up to ~5.1k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 291 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 291 words (~1,250 tokens).
“Verifiable private AI inference through Trusted Execution Environments (TEEs). All inference runs inside Intel TDX confidential VMs with NVIDIA TEE GPUs — your data stays encrypted and isolated from infrastructure providers, model providers, and NEAR itself.”
- name
- near-ai-cloud
- metadata.author
- near
- metadata.version
- 1.0.0
Files
SKILL.md and 3 other files (references) in vendored/near/near-ai-cloud of internet-court/internet-court-skill.
- SKILL.md
- LICENSE
- references/model-verification.md
- references/private-vs-anonymised.md
Open the folder on GitHubat commit fa89195
Used in 1 other repository
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in internet-court/internet-court-skill, which our catalogue first saw on October 7, 2026.
Compare with similar skills
NEAR AI Cloud Private Inference next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| NEAR AI Cloud Private Inference this skillinternet-court/internet-court-skill | 6.6k | 1 repos | ~1.3k | Automated safety check: Pass | Custom licence | |
| ModLens Image Vision Bridgeliustack/modlens | 4.2k | — | ~1.3k | Automated safety check: Notes | MIT | |
| 9Router AI Gateway Setupdecolua/9router | 31k | — | ~744 | Automated safety check: Pass | MIT | |
| Mem0 Provider for Vercel AI SDKmem0ai/mem0 | 67k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| 9Router Chat Completionsdecolua/9router | 31k | — | ~635 | Automated safety check: Pass | MIT | |
| Claude APIKocoro-lab/Kocoro | 414 | 7 repos | ~4.5k | Automated safety check: Pass | Apache-2.0 |
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Works with
Categories
Questions about NEAR AI Cloud Private Inference
What does NEAR AI Cloud Private Inference do?
Shows how to call NEAR AI Cloud through an OpenAI-compatible API and verify that inference ran in a TEE, using attestation checks and signed chat responses. NEAR AI Cloud runs inference inside Intel TDX confidential VMs with NVIDIA TEE GPUs, and TLS ends inside the enclave rather than at a load balancer.ai/v1, and the skill gives Python and JavaScript starting points.
When should I use NEAR AI Cloud Private Inference?
NEAR AI Cloud Private Inference fits situations like: integrating NEAR AI Cloud as an OpenAI-compatible chat endpoint; verifying model or gateway attestation with NVIDIA NRAS and Intel TDX; checking chat message signatures after a completion; adding end-to-end encrypted chat on top of the API.
How do I install NEAR AI Cloud Private Inference in Claude Code?
Run `npx skills add internet-court/internet-court-skill --skill near-ai-cloud -a claude-code`. Or copy the skill folder (vendored/near/near-ai-cloud in internet-court/internet-court-skill) into .claude/skills/near-ai-cloud in your project. Claude Code loads it when a task matches its description.
How do I install NEAR AI Cloud Private Inference in Codex?
Run `npx skills add internet-court/internet-court-skill --skill near-ai-cloud -a codex`. Or copy the skill folder (vendored/near/near-ai-cloud in internet-court/internet-court-skill) into .agents/skills/near-ai-cloud in your project. Codex loads it when a task matches its description.
Can I use NEAR AI Cloud Private Inference in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add internet-court/internet-court-skill --skill near-ai-cloud -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/near-ai-cloud, .gemini/skills/near-ai-cloud, .github/skills/near-ai-cloud and .opencode/skills/near-ai-cloud in your project.
What does NEAR AI Cloud Private Inference need to run?
SKILL.md names no scripts, command-line tools or credentials: NEAR AI Cloud Private Inference is instructions for the agent only. Our summary lists: An OpenAI SDK for Python or JavaScript; Network access to cloud-api.near.ai.
Does NEAR AI Cloud Private Inference access the network?
SKILL.md names 6 domains. In commands or code: cloud-api.near.ai; the agent is likely to contact it when it follows the instructions. As links in the text: github.com, cloud.near.ai, docs.near.ai, docs.api.nvidia.com and proof.t16z.com. This is read from the text; nothing was executed.
Is NEAR AI Cloud Private Inference safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does NEAR AI Cloud Private Inference use?
NEAR AI Cloud Private Inference has a licence file (from the LICENSE file in the skill folder) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does NEAR AI Cloud Private Inference use?
About 1.3k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.9k tokens, read only when the agent opens those files.
What are the alternatives to NEAR AI Cloud Private Inference?
Skills that share tags, products or a category with NEAR AI Cloud Private Inference: ModLens Image Vision Bridge (liustack/modlens, 4.2k stars), 9Router AI Gateway Setup (decolua/9router, 31k stars), Mem0 Provider for Vercel AI SDK (mem0ai/mem0, 67k stars) and 9Router Chat Completions (decolua/9router, 31k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains NEAR AI Cloud Private Inference?
internet-court (a GitHub organization) maintains it in internet-court/internet-court-skill, which has 6,551 GitHub stars. The repository holds 80 skills in this directory. The repository was last updated on August 19, 2026.
Source: internet-court/internet-court-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.