NVIDIA/NeMo-Relay is a runtime and library that gives coding agents and applications shared control over agent execution scopes, policies, plugins, lifecycle events, and observability data. It is for developers who need to inspect or instrument runs from agents such as Codex or Claude Code, or integrate frameworks and export traces and trajectories. The catalogue entries provide Relay plugins, hooks, instructions, skills, and an MCP server for those workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add NVIDIA/NeMo-Relay --skill nemo-relay-instrument-typed-wrappersgit clone --depth 1 https://github.com/NVIDIA/NeMo-RelayWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nvidia/nemo-relay/nemo-relay-instrument-typed-wrappers)<a href="https://agentmods.dev/skills/nvidia/nemo-relay/nemo-relay-instrument-typed-wrappers"><img src="https://agentmods.dev/badge/skills/nvidia/nemo-relay/nemo-relay-instrument-typed-wrappers/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/nvidia/nemo-relay/nemo-relay-instrument-typed-wrappers"><img src="https://agentmods.dev/badge/skills/nvidia/nemo-relay/nemo-relay-instrument-typed-wrappers.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00039 | $0.00951 |
| Opus 5 | $0.00019 | $0.00476 |
| Sonnet 5 | $0.00008 | $0.00190 |
| Haiku 4.5 | $0.00004 | $0.00095 |
Grade A, and why
nemo-relay-instrument-typed-wrappers scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use Typed Wrappers And Codecs
Use this skill when an application wants stronger domain types than raw JSON for tool or LLM integration. Keep typed boundaries explicit so middleware still sees predictable JSON.
Default Guidance
- Prefer plain JSON first for initial adoption.
- Reach for typed wrappers when the application already has stable domain models.
- Keep in mind that middleware still operates on JSON, not typed objects.
Embedded Codec Model
- A typed value codec is a pure boundary translator. It converts application-facing values to JSON before NeMo Relay emits events or runs middleware, then converts JSON back into the framework callback or caller type.
- Python exposes
JsonPassthrough,DataclassCodec,PydanticCodec, andBestEffortAnyCodec. Node.js exposesJsonPassthroughplus customCodec<T>implementations. - Use
BestEffortAnyCodeconly at boundaries where strict schemas are not available. Prefer dataclass, Pydantic, or explicit Node.js codecs when the framework owns a stable schema. - Provider codecs are different from typed value codecs: they normalize provider-specific LLM requests and responses so middleware and subscribers can inspect messages, tools, model names, generation parameters, and response annotations.
- Built-in provider codecs include
OpenAIChatCodec,OpenAIResponsesCodec, andAnthropicMessagesCodecin Python, Node.js, and Rust. Choose the codec that matches the actual provider payload shape. - Response codecs annotate LLM end events with fields such as
id,model,message,tool_calls,finish_reason,usage, provider-specific data, and extra unmodeled fields. They do not rewrite the caller-visible response. - Request codecs run before LLM request intercepts. Intercepts receive both the
raw
LLMRequestand optional annotated request;encodemerges annotated edits back before execution intercepts and the provider callback run. - Built-in request codecs guarantee JSON-value identity for an unchanged annotation. They compare edits with a decoded baseline and patch only changed fields, preserving native representation details and unknown fields.
- Use
instructions, portable messages and components, and the taggedapi_specificrequest surface for normalized edits. Provider-only union members use explicit{ provider, kind, value }native components. Reserve top-levelextrafor unknown future fields. - The
nemo-relaygateway always supplies matching request codecs on Anthropic Messages, OpenAI Chat Completions, and OpenAI Responses generation routes. On those routes, treat rawrequest.contentas read-only and return body edits through the annotated request. Header edits still use the raw request.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 91 lines · 39 tokens per session scan A 81e1c7d38992
nemo-relay-instrument-typed-wrappers is a skill published in the GitHub repository NVIDIA/NeMo-Relay (169 stars, last pushed today), licensed Apache-2.0. It adds 39 tokens to every session and 951 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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