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BF nemotron-speech

Routes NVIDIA Nemotron Speech (Riva) NIM tasks — deploys, runs, and tests ASR, TTS, and NMT NIMs on build.nvidia.com or self-hosted.

ClawHub Agent Skills author: NVIDIA 1 file body ≈ 2 612 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Routes NVIDIA Nemotron Speech (Riva) NIM tasks — deploys, runs, and tests ASR, TTS, and NMT NIMs on build.nvidia.com or self-hosted.

As a process F 47/100 · Will not run — References files that are not bundled: references/setup.md, references/deployment-readiness-checks.md, references/model-selection.md

ProcedureDockerInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
99
Quality 40%
72
Run on models
none yet
Process rating
F
47/100
Will not run
References files that are not bundled: references/setup.md, references/deployment-readiness-checks.md, references/model-selection.md
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-privilege SKILL.md:102
    Privilege escalation / world-writable permissions (quoted — discussed, not commanded)
    - 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 us
    quoted

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/setup.md
  • warning missing-ref reference to a missing file: references/deployment-readiness-checks.md
  • warning missing-ref reference to a missing file: references/model-selection.md
  • warning missing-ref reference to a missing file: references/asr.md
  • warning missing-ref reference to a missing file: references/asr-custom.md
  • warning missing-ref reference to a missing file: references/pipelines.md
  • warning missing-ref reference to a missing file: references/tts.md
  • warning missing-ref reference to a missing file: references/tts-custom.md
  • warning missing-ref reference to a missing file: references/tts-pipelines.md
  • warning missing-ref reference to a missing file: references/tts-pronunciation.md
  • warning missing-ref reference to a missing file: references/nmt.md
  • warning missing-ref reference to a missing file: references/<task>.md
  • note frontmatter-key unknown frontmatter key "triggers"

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: references/setup.md, references/deployment-readiness-checks.md, references/model-selection.md
  • 0Tools and files. 12 referenced file(s) missing: references/setup.md, references/deployment-readiness-checks.md, references/model-selection.md
  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 31 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 31 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2612 tokens
  • 100Progress reporting. Reports progress
  • low 11 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 132: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 31 items
  • +4Has examples (0 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.