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BF jetson-video-capability

Use when Jetson codec, profile, chroma, bit-depth, dimension, engine-count, or operational support must be reconciled using live SDK APIs, authenticated NVIDIA samples, and NVIDIA documentation. Also use for Jetson questions about Netflix, Widevine, or other DRM-protected streaming-service playback to apply the codec-scope boundary.

ClawHub Agent Skills author: NVIDIA 1 file body ≈ 4 568 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Use when Jetson codec, profile, chroma, bit-depth, dimension, engine-count, or operational support must be reconciled using live SDK APIs, authenticated…

As a process F 54/100 · Will not run — References files that are not bundled: ../jetson-video-setup/references/video-content.md, references/capability-queries.md, references/capability-queries.md

IntegrationSoftware developmentMedia and videoWriting and documentstype 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
54/100
Will not run
References files that are not bundled: ../jetson-video-setup/references/video-content.md, references/capability-queries.md, references/capability-queries.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: ../jetson-video-setup/references/video-content.md
  • warning missing-ref reference to a missing file: references/capability-queries.md
  • warning missing-ref reference to a missing file: references/capability-queries.md
  • warning missing-ref reference to a missing file: references/capability-queries.md
  • warning missing-ref reference to a missing file: references/capability-queries.md
  • warning missing-ref reference to a missing file: references/capability-queries.md
  • warning missing-ref reference to a missing file: references/capability-queries.md
  • warning missing-ref reference to a missing file: references/surface-selection-contract.md

Process rating: all ten parameters 54/100

Will not run. References files that are not bundled: ../jetson-video-setup/references/video-content.md, references/capability-queries.md, references/capability-queries.md
  • 0Tools and files. 8 referenced file(s) missing: ../jetson-video-setup/references/video-content.md, references/capability-queries.md, references/capability-queries.md
  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 70Execution cost. Instruction body is 4568 tokens
  • 100Steps. 26 steps
  • 100Inputs and preconditions. Inputs and preconditions are listed
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • high The skill tells the model to perform an irreversible action with no human approval
  • 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 334: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (3 code blocks)
  • +1License stated

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