SKILLEMALL.ai

AF paidf-curation-and-retrieval

Use when operating PAIDF Curation and Retrieval or NVIDIA Cosmos Curator pipelines (split, filter, caption, embed, dedup, shard, image annotate) or PAIDF Data Mining nearest-neighbor matching on Curator embeddings. Activate for Make or CLI pipeline config, GPU run preflight, FFmpeg sidecar, SAM3 keys, or Curator-to-TAO handoff. Do not use for generic ETL, vector-database RAG, model training, orchestration, or embeddings outside Cosmos Curator and PAIDF Data Mining.

ClawHub Agent Skills author: NVIDIA 1 file body ≈ 3 284 tokens Open the sourceclawhub.ai analyzed 3 d ago

Use when operating PAIDF Curation and Retrieval or NVIDIA Cosmos Curator pipelines (split, filter, caption, embed, dedup, shard, image annotate) or PAIDF Data…

As a process F 60/100 · Will not run — References files that are not bundled: references/data-mining.md, references/curation-retrieval-workflow.md, references/running-pipelines.md

ProcedureDockerInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
F
60/100
Will not run
References files that are not bundled: references/data-mining.md, references/curation-retrieval-workflow.md, references/running-pipelines.md
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/data-mining.md
  • warning missing-ref reference to a missing file: references/curation-retrieval-workflow.md
  • warning missing-ref reference to a missing file: references/running-pipelines.md
  • warning missing-ref reference to a missing file: references/calibration-config.md
  • warning missing-ref reference to a missing file: references/ffmpeg-sidecar.md
  • warning missing-ref reference to a missing file: references/cosmos-curator.md
  • warning missing-ref reference to a missing file: references/distribution-analysis.md
  • warning missing-ref reference to a missing file: references/distribution-aware-curation.md
  • warning missing-ref reference to a missing file: references/configuration-decision-tree.md
  • warning missing-ref reference to a missing file: references/context-understanding.md
  • warning missing-ref reference to a missing file: references/gotchas.md
  • warning missing-ref reference to a missing file: references/capabilities.md
  • warning missing-ref reference to a missing file: references/video-curation.md
  • warning missing-ref reference to a missing file: references/image-curation.md
  • warning missing-ref reference to a missing file: references/video-lake-curation.md
  • warning missing-ref reference to a missing file: references/sam3-config.md
  • warning missing-ref reference to a missing file: references/kpi-metrics.md
  • warning missing-ref reference to a missing file: references/restrictive-curation.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 60/100

Will not run. References files that are not bundled: references/data-mining.md, references/curation-retrieval-workflow.md, references/running-pipelines.md
  • 0Tools and files. 18 referenced file(s) missing: references/data-mining.md, references/curation-retrieval-workflow.md, references/running-pipelines.md
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 4 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 45 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3284 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 15 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
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 469: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 45 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.