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BF deepstream-dev

NVIDIA DeepStream SDK development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker integration.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: NVIDIA 1 file body ≈ 3 214 tokens Open the sourceclawhub.ai↗ analyzed 10 h ago

NVIDIA DeepStream SDK development with Python pyservicemaker API.

As a process F 56/100 · Will not run — References files that are not bundled: references/gstreamer_plugins.md, references/service_maker_api.md, references/use_cases_pipelines.md

IntegrationDockerInfrastructureMedia 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
75/100
safety, quality, tests
Safety 60%
77
Quality 40%
73
Run on models
none yet
Process rating
F
56/100
Will not run
References files that are not bundled: references/gstreamer_plugins.md, references/service_maker_api.md, references/use_cases_pipelines.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. 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 · 2

  • high Dangerous commands cmd-install-from-url SKILL.md:145
    Installs a package from an untrusted URL / archive
    pip install /opt/nvidia/deepstream/deepstream/service-maker/python/pyservicemaker*.whl pyyaml
Medium and low: 1
  • medium Dangerous commands cmd-install-from-url SKILL.md:197
    Installs a package from an untrusted URL / archive (documentation table row)
    | `No module named 'pyservicemaker'` in venv | `pip install /opt/nvidia/deepstream/deepstream/service-maker/python/pyservicemaker*.whl pyyaml` inside the venv |
    table

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/gstreamer_plugins.md
  • warning missing-ref reference to a missing file: references/service_maker_api.md
  • warning missing-ref reference to a missing file: references/use_cases_pipelines.md
  • warning missing-ref reference to a missing file: references/streaming_sources.md
  • warning missing-ref reference to a missing file: references/kafka_messaging.md
  • warning missing-ref reference to a missing file: references/best_practices.md
  • warning missing-ref reference to a missing file: references/buffer_apis.md
  • warning missing-ref reference to a missing file: references/media_extractor_advanced.md
  • warning missing-ref reference to a missing file: references/utilities_config.md
  • warning missing-ref reference to a missing file: references/nvinfer_config.md
  • warning missing-ref reference to a missing file: references/tracker_config.md
  • warning missing-ref reference to a missing file: references/troubleshooting.md
  • warning missing-ref reference to a missing file: references/rest_api_dynamic.md
  • warning missing-ref reference to a missing file: references/metamux_config.md
  • warning missing-ref reference to a missing file: references/docker_containers.md
  • warning missing-ref reference to a missing file: references/nvds_msgapi_adapter.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 56/100

Will not run. References files that are not bundled: references/gstreamer_plugins.md, references/service_maker_api.md, references/use_cases_pipelines.md
  • 0Tools and files. 16 referenced file(s) missing: references/gstreamer_plugins.md, references/service_maker_api.md, references/use_cases_pipelines.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 1 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 60Result and completion. Output format stated, no completion criterion
  • 85Steps. 46 steps, 2 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3214 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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 240: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 46 items
  • +3Output format is stated explicitly
  • +4Has examples (6 code blocks)
  • +1License stated

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