SKILLEMALL.ai

BF vss-deploy-dense-captioning

Use this skill when deploying standalone RT-VLM dense captioning or calling its REST API (uploads, captions, streams, chat-completions, Kafka). Not for VSS profile deploy or video-search ingestion.

ClawHub Agent Skills author: NVIDIA 1 file body ≈ 3 214 tokens Open the sourceclawhub.ai analyzed 26 h ago

Not for VSS profile deploy or video-search ingestion.

As a process F 57/100 · Will not run — References files that are not bundled: ../vss-deploy-profile/SKILL.md, references/deploy-rt-vlm-service.md, references/api-surface-26.05.md

IntegrationDockerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
98
Quality 40%
75
Run on models
none yet
Process rating
F
57/100
Will not run
References files that are not bundled: ../vss-deploy-profile/SKILL.md, references/deploy-rt-vlm-service.md, references/api-surface-26.05.md
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Exfiltration net-credential-use SKILL.md:142
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    export API_KEY="${NGC_CLI_API_KEY:-${RTVI_VLM_API_KEY:-}}" # bearer token used by host-side curl commands
    quoted
  • low Exfiltration net-credential-use SKILL.md:152
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    MODEL_ID="$(curl -fsS "$BASE_URL/v1/models" -H "Authorization: Bearer $API_KEY" | jq -r '.data[0].id // .id')"
    quoted

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: ../vss-deploy-profile/SKILL.md
  • warning missing-ref reference to a missing file: references/deploy-rt-vlm-service.md
  • warning missing-ref reference to a missing file: references/api-surface-26.05.md
  • warning missing-ref reference to a missing file: references/kafka-workflows.md
  • note edit-residue the text marks something as outdated (lines 217): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 57/100

Will not run. References files that are not bundled: ../vss-deploy-profile/SKILL.md, references/deploy-rt-vlm-service.md, references/api-surface-26.05.md
  • 0Tools and files. 4 referenced file(s) missing: ../vss-deploy-profile/SKILL.md, references/deploy-rt-vlm-service.md, references/api-surface-26.05.md
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 32 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 100Steps. 23 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 3214 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 14 top-level sections: this looks like several domains in one skill

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
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 197: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (7 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.