SKILLEMALL.ai

AB beauty-advisor

Recommend and preview makeup looks based on the user's face shape and skin tone, using YouCam (Perfect Corp) AI. Analyzes the selfie, suggests suitable looks, then renders a virtual makeup try-on image. Use for "推薦妝容", "幫我上妝", "makeup look", "virtual makeup". Do NOT use for skin-condition scoring, hair, or clothes.

ClawHub Agent Skills author: YouCam API v1.0.1 MIT-0 11 files body ≈ 651 tokens Open the sourceclawhub.ai analyzed 4 d ago

Recommend and preview makeup looks based on the user's face shape and skin tone, using YouCam (Perfect Corp) AI.

As a process B 67/100 · Nearly there — weak spots: failures and branches, consistency

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
96
Quality 40%
92
Run on models
none yet
Process rating
B
67/100
Nearly there
Failures and branches w 10
0
Consistency w 8
40
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

    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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • low Secrets in code secret-high-entropy-token scripts/api-fallback.yaml:34
      High-entropy token-like string (may be an id, hash or a credential)
      example: pfNK…Hjv+KoBIxbE=
    • low Secrets in code secret-high-entropy-token scripts/api-fallback.yaml:111
      High-entropy token-like string (may be an id, hash or a credential)
      example: pfNK…Hjv+KoBIxbE=
    • low Secrets in code secret-high-entropy-token scripts/api-fallback.yaml:149
      High-entropy token-like string (may be an id, hash or a credential)
      example: pfNK…Hjv+KoBIxbE=
    • low Secrets in code secret-high-entropy-token scripts/api-fallback.yaml:1345
      High-entropy token-like string (may be an id, hash or a credential)
      example: pfNK…Hjv+KoBIxbE=

    Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "requirements"

    Process rating: all ten parameters 67/100

    • 0Failures and branches. Linear process with no failure handling
    • 40Consistency. Frontmatter name (beauty-advisor) differs from the folder (youcam-beauty-advisor)
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 15 steps, 1 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 651 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress

    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

    • +4No input/output examples
    • -34 of 5 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 316: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 15 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: clean
    The skill is coherent for makeup recommendations and virtual try-on, with privacy-sensitive but disclosed selfie processing through YouCam.
    LLM: benign (high) · VirusTotal: · 4 Sept 2026