nemotron-speech
nemotron-speech is a skill in NVIDIA/skills, last changed 15 Sept 2026. It can touch credentials, download software, run shell commands, reach the network, name web addresses and bundle scripts — read the findings before installing. Our pattern check found 1 item to review at commit d7e1e2c on 27 Oct 2026.
Pattern check: 1 item to review · commit d7e1e2c · 27 Oct 2026
InstallRoutes NVIDIA Nemotron Speech (Formerly Riva) NIM tasks — deploys, runs, and tests ASR, TTS, and NMT NIMs on build.nvidia.com or self-hosted.
- Licence
- Apache 2.0
- Repo stars
- 3.8k
- Folder last changed
- 15 Sept 2026 (opens in a new tab)
- Publisher
- NVIDIA
- Files
- 18 files
- Checked
- d7e1e2c (opens in a new tab) · 27 Oct 2026
Install
Each tab says whether it installs commit d7e1e2c, the one we checked, or the latest version.
No tab for your agent? Use Any agent for OpenCode, Goose, Windsurf (Devin Desktop), Zed, Roo Code, Factory Droid, Junie, Amp and Antigravity, and Claude Code for Cline. Kiro needs the folder copied by hand.
Pinned to commit d7e1e2c, the one we checked.
From your project's root folder:
tmp="$(mktemp -d)" &&
git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/NVIDIA/skills.git "$tmp" &&
git -C "$tmp" fetch -q --depth 1 origin d7e1e2c728579ad38174443ef22382d0fb4615b5 &&
git -C "$tmp" sparse-checkout set -- skills/nemotron-speech &&
git -C "$tmp" checkout -q d7e1e2c728579ad38174443ef22382d0fb4615b5 &&
mkdir -p .claude/skills &&
mkdir .claude/skills/nemotron-speech &&
cp -R "$tmp"/skills/nemotron-speech/. .claude/skills/nemotron-speech/ &&
rm -rf "$tmp"If Claude Code was already running and this created the skills folder, run /reload-skills.
Pinned to commit d7e1e2c, the one we checked.
Skills in the Claude apps belong to your account rather than to a project.
Make nemotron-speech.zip, with the skill folder at the top level:
tmp="$(mktemp -d)" &&
git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/NVIDIA/skills.git "$tmp" &&
git -C "$tmp" fetch -q --depth 1 origin d7e1e2c728579ad38174443ef22382d0fb4615b5 &&
git -C "$tmp" sparse-checkout set -- skills/nemotron-speech &&
git -C "$tmp" checkout -q d7e1e2c728579ad38174443ef22382d0fb4615b5 &&
out="$(mktemp -d)" &&
cp -R "$tmp"/skills/nemotron-speech "$out"/nemotron-speech &&
(cd "$out" && zip -qr - nemotron-speech) > nemotron-speech.zip &&
rm -rf "$tmp" "$out"In Claude, open Customize > Skills, select +, then + Create skill > Upload a skill, and choose nemotron-speech.zip.
On Free, Pro and Max plans, turn on Code execution and file creation (Create and edit files in newer settings) under Settings > Capabilities.
Pinned to commit d7e1e2c, the one we checked.
From your project's root folder:
tmp="$(mktemp -d)" &&
git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/NVIDIA/skills.git "$tmp" &&
git -C "$tmp" fetch -q --depth 1 origin d7e1e2c728579ad38174443ef22382d0fb4615b5 &&
git -C "$tmp" sparse-checkout set -- skills/nemotron-speech &&
git -C "$tmp" checkout -q d7e1e2c728579ad38174443ef22382d0fb4615b5 &&
mkdir -p .agents/skills &&
mkdir .agents/skills/nemotron-speech &&
cp -R "$tmp"/skills/nemotron-speech/. .agents/skills/nemotron-speech/ &&
rm -rf "$tmp"Codex picks up new skills on its own; restart it if this one does not appear.
Pinned to commit d7e1e2c, the one we checked.
From your project's root folder:
tmp="$(mktemp -d)" &&
git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/NVIDIA/skills.git "$tmp" &&
git -C "$tmp" fetch -q --depth 1 origin d7e1e2c728579ad38174443ef22382d0fb4615b5 &&
git -C "$tmp" sparse-checkout set -- skills/nemotron-speech &&
git -C "$tmp" checkout -q d7e1e2c728579ad38174443ef22382d0fb4615b5 &&
mkdir -p .cursor/skills &&
mkdir .cursor/skills/nemotron-speech &&
cp -R "$tmp"/skills/nemotron-speech/. .cursor/skills/nemotron-speech/ &&
rm -rf "$tmp"Pinned to commit d7e1e2c, the one we checked.
From your project's root folder:
tmp="$(mktemp -d)" &&
git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/NVIDIA/skills.git "$tmp" &&
git -C "$tmp" fetch -q --depth 1 origin d7e1e2c728579ad38174443ef22382d0fb4615b5 &&
git -C "$tmp" sparse-checkout set -- skills/nemotron-speech &&
git -C "$tmp" checkout -q d7e1e2c728579ad38174443ef22382d0fb4615b5 &&
mkdir -p .github/skills &&
mkdir .github/skills/nemotron-speech &&
cp -R "$tmp"/skills/nemotron-speech/. .github/skills/nemotron-speech/ &&
rm -rf "$tmp"In a running Copilot CLI session, run /skills reload.
Or install it with gh skill, which also installs the commit we checked. Needs GitHub CLI 2.90 or later.
gh skill install NVIDIA/skills skills/nemotron-speech/SKILL.md@d7e1e2c728579ad38174443ef22382d0fb4615b5 --agent github-copilot --scope projectPinned to commit d7e1e2c, the one we checked.
From your project's root folder:
tmp="$(mktemp -d)" &&
git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/NVIDIA/skills.git "$tmp" &&
git -C "$tmp" fetch -q --depth 1 origin d7e1e2c728579ad38174443ef22382d0fb4615b5 &&
git -C "$tmp" sparse-checkout set -- skills/nemotron-speech &&
git -C "$tmp" checkout -q d7e1e2c728579ad38174443ef22382d0fb4615b5 &&
mkdir -p .gemini/skills &&
mkdir .gemini/skills/nemotron-speech &&
cp -R "$tmp"/skills/nemotron-speech/. .gemini/skills/nemotron-speech/ &&
rm -rf "$tmp"In a running session, run /skills reload.
Or use Gemini CLI’s own installer. Installs the latest version, not the one we checked.
gemini skills install https://github.com/NVIDIA/skills.git --path skills/nemotron-speech --scope workspacePinned to commit d7e1e2c, the one we checked.
Codex, Cursor, Copilot, VS Code, Gemini CLI, OpenCode, Goose, Amp and Zed all read .agents/skills; Claude Code and Kiro list only their own folders.
From your project's root folder:
tmp="$(mktemp -d)" &&
git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/NVIDIA/skills.git "$tmp" &&
git -C "$tmp" fetch -q --depth 1 origin d7e1e2c728579ad38174443ef22382d0fb4615b5 &&
git -C "$tmp" sparse-checkout set -- skills/nemotron-speech &&
git -C "$tmp" checkout -q d7e1e2c728579ad38174443ef22382d0fb4615b5 &&
mkdir -p .agents/skills &&
mkdir .agents/skills/nemotron-speech &&
cp -R "$tmp"/skills/nemotron-speech/. .agents/skills/nemotron-speech/ &&
rm -rf "$tmp"Or use the skills CLI from skills.sh. Installs the latest version, not the one we checked. The skills CLI reports installs to skills.sh unless you set DISABLE_TELEMETRY=1.
npx skills@1.7.4 add NVIDIA/skills --skill nemotron-speechWhat it can touch
From the files and frontmatter at commit d7e1e2c. This is how much a skill can do, not whether it is risky.
What it can touch: Shell, network or credentials
Runs shell commands
Its instructions or files give the agent commands to run on your computer.
Reaches the network
It sends or fetches data over the internet, for example with curl, an HTTP library or a package install.
Names web addresses
It mentions outside web addresses the agent may visit. We list them but don't follow them.
Bundles scripts
The folder holds code files the agent may run.
scripts/main.py
Touches credentials
It reads, asks for or contains keys, tokens, passwords or similar secrets.
references/setup.md:112 · references/setup.md:166 · scripts/main.py:237
Downloads software
It fetches programs or packages from the internet, or from a package source other than the default.
references/tts.md:191 · SKILL.md:100 · references/asr.md:63 and 1 more
Pattern check
Pattern check: 1 item to review · commit d7e1e2c · 27 Oct 2026
R01 · HighDownload piped into a shell
references/tts.md:191 (opens in a new tab)curl -sS http://localhost:9000/v1/audio/list_voices | python3 -m json.tool
We checked every text file in this skill, at commit d7e1e2c on 27 Oct 2026, against 45 published patterns such as download-and-run commands, hidden text and credential access. We don't run the skill, we don't read the web pages it points to, and we can't judge everything its instructions might lead an agent to do. In published tests, pattern checks like this one missed most malicious skills. Read the skill before you install it — especially anything it asks you to download or run.
How the check worksReport an incorrect finding
Outside links we did not follow
- https://build.nvidia.com
- https://docs.nvidia.com/nim/speech/latest/reference/support-matrix/asr.html
- https://docs.nvidia.com/nim/speech/latest/reference/support-matrix/tts.html
- https://docs.nvidia.com/nim/speech/latest/reference/support-matrix/nmt.html
- https://docs.nvidia.com/nim/speech/latest/get-started/prerequisites.html
- https://docs.nvidia.com/nim/speech/latest/asr/customization/pipeline-configuration.html
- https://docs.nvidia.com/nim/speech/latest/asr/customization/customization.html
- https://docs.nvidia.com/nim/speech/latest/tts/custom-deployment.html
- https://docs.nvidia.com/nim/speech/latest/tts/customization.html
- https://docs.nvidia.com/nim/speech/latest/tts/voices.html
Show 27 more
- https://docs.nvidia.com/nim/speech/latest/tts/voice-cloning.html
- https://docs.nvidia.com/nim/speech/latest/tts/phoneme-support.html
- https://build.nvidia.com/
- https://catalog.ngc.nvidia.com/models
- https://github.com/NVIDIA-NeMo/NeMo/blob/main/examples/asr/asr_hybrid_transducer_ctc/helpers/convert_nemo_asr_hybrid_to_ctc.py
- https://api.nvcf.nvidia.com/v2/nvcf/functions
- https://docs.nvidia.com/nim/speech/latest/reference/api-references/asr/protos.html
- https://docs.nvidia.com/nim/speech/latest/reference/api-references/asr/realtime-asr.html
- https://docs.nvidia.com/nim/speech/latest/reference/performances/asr/performance.html
- https://github.com/nvidia-riva/python-clients
- https://api.nvcf.nvidia.com/v2/nvcf/functions?visibility=public,authorized
- https://docs.nvidia.com/nim/speech/latest/nmt/custom-dictionaries.html
- https://docs.nvidia.com/nim/speech/latest/reference/performances/tts/performance.html
- https://docs.nvidia.com/nim/speech/latest/reference/performances/nmt/performance.html
- https://docs.nvidia.com/nim/speech/latest/reference/api-references/nmt/protos.html
- https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html
- https://docs.docker.com/engine/install/
- https://docs.nvidia.com/cuda/cuda-installation-guide-linux
- https://org.ngc.nvidia.com/setup/api-keys
- https://github.com/nvidia-riva/cpp-clients
- https://github.com/nvidia-riva/websocket-bridge
- https://catalog.ngc.nvidia.com/orgs/nvidia/riva/models/speechsynthesis_multilingual_magpietts_ipa/-
- https://docs.nvidia.com/nim/speech/latest/reference/api-references/tts/protos.html
- https://docs.nvidia.com/nim/speech/latest/reference/api-references/tts/http-tts.html
- https://docs.nvidia.com/nim/speech/latest/reference/api-references/tts/realtime-tts.html
- http://www.apache.org/licenses/LICENSE-2.0
- https://app.intigriti.com/programs/nvidia/nvidiavdp/detail
Format check
Each agent reads SKILL.md a little differently. We check the file against each one's published rules; we don't run the skill in any agent.
Agent Skills specPasses with warnings
The open format from agentskills.io, held to what the strictest agents enforce, so one folder loads everywhere.
- Warning
Fields outside the spec: triggers and version. Uploads to the Claude apps and API, and the spec's validator, reject the file; most agents ignore these fields. O1
Fix: Delete them for a portable skill, or keep them if you only target the agents that read them.
- Warning
metadata values should be text; tags (a list) is not. The spec's validator turns them into text; other readers may not. O4
Fix: Quote each value, for example version: "1.0".
- Note
Anthropic's packaging script leaves these out: evals/. F8
Fix: Delete them, or list them in .gitignore.
- Note
The description doesn't say when to use the skill. D6
Fix: Add a sentence such as "Use when …" naming the requests or files that should trigger it.
- Note
Reference files that SKILL.md doesn't link: BENCHMARK.md, evals/EVAL.md and skill-card.md. Anthropic suggests linking every reference file directly from SKILL.md. B4
Fix: Link each one from SKILL.md and say when to read it.
- Note
Reference files over 100 lines with no table of contents at the top: BENCHMARK.md (156 lines), references/asr-custom.md (275 lines), references/asr.md (541 lines), references/deployment-readiness-checks.md (184 lines), references/model-selection.md (318 lines) and 7 more. B5
Fix: Add a short list of the sections at the top of each.
- Warning
Claude CodePasses
Claude Code reads its own extra fields, ignores unknown ones, and still loads a skill whose frontmatter is broken, without its fields.
- Note
Anthropic's packaging script leaves these out: evals/. F8
Fix: Delete them, or list them in .gitignore.
- Note
Claude Code ignores fields it doesn't know: triggers and version. O1
Fix: Check the spelling against Claude Code's field list, or delete them.
- Note
Reference files that SKILL.md doesn't link: BENCHMARK.md, evals/EVAL.md and skill-card.md. Anthropic suggests linking every reference file directly from SKILL.md. B4
Fix: Link each one from SKILL.md and say when to read it.
- Note
Reference files over 100 lines with no table of contents at the top: BENCHMARK.md (156 lines), references/asr-custom.md (275 lines), references/asr.md (541 lines), references/deployment-readiness-checks.md (184 lines), references/model-selection.md (318 lines) and 7 more. B5
Fix: Add a short list of the sections at the top of each.
- Note
Claude apps & API uploadFails
Uploading to claude.ai or the Claude API, or packaging with Anthropic's script, accepts only the six spec fields and stops on anything else.
- Error
Upload and packaging fail on fields outside the spec: triggers and version. O1
Fix: Delete them, and keep your own data under metadata as text values.
- Note
Anthropic's packaging script leaves these out: evals/. F8
Fix: Delete them, or list them in .gitignore.
- Note
metadata values should be text; tags (a list) is not. The spec defines metadata as text to text. O4
Fix: Quote each value, for example version: "1.0".
- Note
Reference files that SKILL.md doesn't link: BENCHMARK.md, evals/EVAL.md and skill-card.md. Anthropic suggests linking every reference file directly from SKILL.md. B4
Fix: Link each one from SKILL.md and say when to read it.
- Note
Reference files over 100 lines with no table of contents at the top: BENCHMARK.md (156 lines), references/asr-custom.md (275 lines), references/asr.md (541 lines), references/deployment-readiness-checks.md (184 lines), references/model-selection.md (318 lines) and 7 more. B5
Fix: Add a short list of the sections at the top of each.
- Error
OpenAI (Codex & API)Passes with warnings
Codex finds SKILL.md by its exact name and needs a description; OpenAI's Skills API checks the frontmatter against the spec and caps uploads.
- Warning
Fields outside the spec: triggers and version. Codex ignores them; OpenAI doesn't say whether its upload accepts them. O1
Fix: Delete them, or move your own data under metadata as text values.
- Warning
metadata values should be text; tags (a list) is not. OpenAI's upload follows the spec's text-to-text rule. O4
Fix: Quote each value, for example version: "1.0".
- Note
Anthropic's packaging script leaves these out: evals/. F8
Fix: Delete them, or list them in .gitignore.
- Warning
VS Code & CopilotPasses
VS Code reads skills one folder below .github/skills, .claude/skills or .agents/skills and falls back to the folder name when the name is missing or differs; GitHub's Copilot docs require the exact name SKILL.md.
SKILL.md
Files
18 files
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