SKILLEMALL.ai
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BF semantic-creator

Builds evidence-only Kimball semantic layers from APIs, CLIs, or tables with an HTML decision workbench; emits OKF/YAML. Use this skill when users request semantic layers, dimensional models, ontology, OKF, 语义层、接口转语义、维度建模或本体.

ClawHub Agent Skills author: Schema Anything Labs v0.5.1 MIT-0 9 files body ≈ 489 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Builds evidence-only Kimball semantic layers from APIs, CLIs, or tables with an HTML decision workbench; emits OKF/YAML.

As a process F 35/100 · Will not run — References files that are not bundled: references/ingest.md, references/review.md, assets/review-template.html

GeneratorSoftware developmentPersonal productivitytype 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
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/ingest.md, references/review.md, assets/review-template.html
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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 · 0

✓ No critical or high findings

Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/ingest.md
  • warning missing-ref reference to a missing file: references/review.md
  • warning missing-ref reference to a missing file: assets/review-template.html
  • warning missing-ref reference to a missing file: references/emit-okf.md
  • warning missing-ref reference to a missing file: references/emit-yaml.md
  • warning missing-ref reference to a missing file: references/verify.md
  • warning missing-ref reference to a missing file: references/examples.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/ingest.md, references/review.md, assets/review-template.html
  • 0Tools and files. 7 referenced file(s) missing: references/ingest.md, references/review.md, assets/review-template.html
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Steps. 6 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 489 tokens
  • 100Running it twice. No mutating operations

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
  • -5TODO / placeholder text left in the skill
  • +2Single-language instructions
  • +3Description length 225: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 6 items
  • +4Has examples (1 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: clean
This skill is a coherent semantic-layer modeling workflow that writes local review and output files and requires explicit user approval before generation.
LLM: benign (high) · VirusTotal: · 1 Aug 2026