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-riva/Nemotron-speech-skills --skill nemotron-speechgit clone --depth 1 https://github.com/nvidia-riva/Nemotron-speech-skillsWrote 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-riva/nemotron-speech-skills/nemotron-speech)<a href="https://agentmods.dev/skills/nvidia-riva/nemotron-speech-skills/nemotron-speech"><img src="https://agentmods.dev/badge/skills/nvidia-riva/nemotron-speech-skills/nemotron-speech/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-riva/nemotron-speech-skills/nemotron-speech"><img src="https://agentmods.dev/badge/skills/nvidia-riva/nemotron-speech-skills/nemotron-speech.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00047 | $0.03012 |
| Opus 5 | $0.00023 | $0.01506 |
| Sonnet 5 | $0.00009 | $0.00602 |
| Haiku 4.5 | $0.00005 | $0.00301 |
Grade B, and why
nemotron-speech scanned grade B with 1 finding 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 12d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
- For **self-hosted Docker model caching**: host directories mounted at `/opt/nim/.cache` must be writable by the container user (the NIM container runs as `nvs:1000` internally), not just the host user. Run `sudo chown The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
17 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.
- BENCHMARK.md 4.9 KB
- evals/EVAL.md 1.2 KB
- evals/evals.json 17 KB
- references/asr-custom.md 15 KB
- references/asr.md 26 KB
- references/deployment-readiness-checks.md 7.8 KB
- references/model-selection.md 19 KB
- references/nmt.md 15 KB
- references/pipelines.md 16 KB
- references/setup.md 7.2 KB
- references/tts-custom.md 14 KB
- references/tts-pipelines.md 22 KB
- references/tts-pronunciation.md 13 KB
- references/tts.md 17 KB
- scripts/main.py 13 KB runs code
- skill-card.md 4.8 KB
- skill.oms.sig 7.5 KB
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.
- 12d ago First seen · 193 lines · 47 tokens per session scan B 57397e2f351d
nemotron-speech is a skill published in the GitHub repository nvidia-riva/Nemotron-speech-skills (3 stars, last pushed today), with no licence file. It adds 47 tokens to every session and 3,012 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
agent-platform-rag-engine-management
Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…
agent-platform-model-registry
Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.
foundry-config-setup
Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.
google-cloud-solution-agentic-analytics-spark-knowledge-catalog
Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is…
training-check
Interactively monitor training metrics from the current Codex session, periodically checking WandB or fallback logs for NaN, divergence, plateaus, and broken runs.
nemo-automodel-launcher-config
Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.