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BF deepstream-generate-pipeline

Build DeepStream GStreamer pipelines interactively. Use when the user asks about pipelines for video/image inference, detection, tracking, or streaming — including natural phrases like 'pipeline to infer on image', 'run inference on video', 'detect objects in stream', 'save inference output', 'deepstream pipeline', 'gst-launch pipeline', 'process video with detection', 'build a pipeline', or any request involving GStreamer/DeepStream elements (nvinfer, nvstreammux, nvtracker, etc.).

ClawHub Agent Skills author: NVIDIA 1 file body ≈ 4 005 tokens Open the sourceclawhub.ai↗ analyzed 20 h ago

Build DeepStream GStreamer pipelines interactively.

As a process F 61/100 · Will not run — References files that are not bundled: references/assembly-rules.md, scripts/generate_pipeline.py, scripts/validate_pipeline.py

ProcedureInfrastructuretype 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: references/assembly-rules.md, scripts/generate_pipeline.py, scripts/validate_pipeline.py
Tools and files w 18
0
Progress reporting w 2
0
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: references/assembly-rules.md
  • warning missing-ref reference to a missing file: scripts/generate_pipeline.py
  • warning missing-ref reference to a missing file: scripts/validate_pipeline.py
  • warning missing-ref reference to a missing file: scripts/lint_data.py
  • warning missing-ref reference to a missing file: references/requirement-extraction.md
  • warning missing-ref reference to a missing file: references/output-format.md
  • warning missing-ref reference to a missing file: scripts/demo.sh
  • warning missing-ref reference to a missing file: references/security-and-limitations.md
  • note frontmatter-key unknown frontmatter key "owner"
  • note frontmatter-key unknown frontmatter key "service"
  • note frontmatter-key unknown frontmatter key "reviewed"

Process rating: all ten parameters 61/100

Will not run. References files that are not bundled: references/assembly-rules.md, scripts/generate_pipeline.py, scripts/validate_pipeline.py
  • 0Tools and files. 8 referenced file(s) missing: references/assembly-rules.md, scripts/generate_pipeline.py, scripts/validate_pipeline.py
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 4005 tokens
  • 85Steps. 23 steps, 3 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 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)
  • +2Single-language instructions
  • +3Description length 487: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 23 items
  • +3Output format is stated explicitly
  • +4Has examples (12 code blocks)
  • +1License stated

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