SKILLEMALL.ai

AF fashion_designer

Use this skill when users need outfit advice or shopping suggestions for clothing, shoes, accessories, or bags. You will provide fashion outfit options based on the user’s profile and current needs, and continuously learn their style preferences.

ClawHub Agent Skills author: jasontujun v1.0.1 MIT-0 3 files body ≈ 1 438 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 57/100 · Will not run — References files that are not bundled: link

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
F
57/100
Will not run
References files that are not bundled: link
Tools and files w 18
0
Progress reporting w 2
0
When it triggers w 12
20
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning missing-ref reference to a missing file: link

Process rating: all ten parameters 57/100

Will not run. References files that are not bundled: link
  • 0Tools and files. 1 referenced file(s) missing: link
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (fashion_designer) differs from the folder (fashion-designer)
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 51 steps
  • 100Failures and branches. 9 branches, has a failure section
  • 100Execution cost. Instruction body is 1438 tokens
  • 100Running it twice. Mutating operations check current state

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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 246: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 51 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This fashion-advice skill is coherent with its purpose, but it can remember style profile details, browse shopping sites, and create or update Feishu documents.
LLM: benign (high) · VirusTotal: · 29 May 2026