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BF jetson-video-recipe

Use when turning a Jetson encoder use case into one validated surface-neutral recipe with native and PyNvVideoCodec projections for codec, preset, rate control, bitrate, latency, format, and profile.

ClawHub Agent Skills author: NVIDIA 1 file body ≈ 2 598 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Use when turning a Jetson encoder use case into one validated surface-neutral recipe with native and PyNvVideoCodec projections for codec, preset, rate…

As a process F 51/100 · Will not run — References files that are not bundled: references/recipes-workflow.md, references/recipes-knobs-and-constraints.md, references/recipes-knobs-and-constraints.md

AnalyzerMedia and videoSoftware developmenttype 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
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
F
51/100
Will not run
References files that are not bundled: references/recipes-workflow.md, references/recipes-knobs-and-constraints.md, references/recipes-knobs-and-constraints.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 · 0

✓ No critical or high findings

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/recipes-workflow.md
  • warning missing-ref reference to a missing file: references/recipes-knobs-and-constraints.md
  • warning missing-ref reference to a missing file: references/recipes-knobs-and-constraints.md
  • warning missing-ref reference to a missing file: references/recipes-knobs-and-constraints.md
  • warning missing-ref reference to a missing file: scripts/recipes/recipe_model.py
  • warning missing-ref reference to a missing file: scripts/recipes/data/encoder-intent-catalog.json

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: references/recipes-workflow.md, references/recipes-knobs-and-constraints.md, references/recipes-knobs-and-constraints.md
  • 0Tools and files. 6 referenced file(s) missing: references/recipes-workflow.md, references/recipes-knobs-and-constraints.md, references/recipes-knobs-and-constraints.md
  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 21 steps
  • 100Inputs and preconditions. Inputs and preconditions are listed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2598 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • 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 199: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 21 items
  • +4Has examples (4 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.