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BF jetson-video-pipeline

Use when executing and verifying Jetson Video Codec SDK or PyNvVideoCodec encode/decode, transcode, segmentation, container decode, AV1, or acceptance workflows with exact artifact handoffs.

ClawHub Agent Skills author: NVIDIA 1 file body ≈ 3 513 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Use when executing and verifying Jetson Video Codec SDK or PyNvVideoCodec encode/decode, transcode, segmentation, container decode, AV1, or acceptance…

As a process F 61/100 · Will not run — References files that are not bundled: ../jetson-video-setup/references/video-content.md, references/pipeline-workflow.md, references/official-sample-contract.md

ProcedureMedia and videoInfrastructuretype 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
61/100
Will not run
References files that are not bundled: ../jetson-video-setup/references/video-content.md, references/pipeline-workflow.md, references/official-sample-contract.md
Tools and files w 18
0
When it triggers w 12
20
Running it twice w 4
30
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/pipeline-workflow.md
  • warning missing-ref reference to a missing file: references/official-sample-contract.md
  • warning missing-ref reference to a missing file: scripts/encode_controller.py
  • warning missing-ref reference to a missing file: scripts/pipeline_controller.py
  • warning missing-ref reference to a missing file: scripts/validate_representative_content_summary.py

Process rating: all ten parameters 61/100

Will not run. References files that are not bundled: ../jetson-video-setup/references/video-content.md, references/pipeline-workflow.md, references/official-sample-contract.md
  • 0Tools and files. 6 referenced file(s) missing: ../jetson-video-setup/references/video-content.md, references/pipeline-workflow.md, references/official-sample-contract.md
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 100Steps. 30 steps
  • 100Inputs and preconditions. Inputs and preconditions are listed
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3513 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 190: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 30 items
  • +4Has examples (2 code blocks)
  • +1License stated

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