BC beauty-generation-api
AI portrait image generation with 140+ nationalities, diverse styles, professional headshots, character design, and fashion visualization. Fast generation (3-5 seconds), built-in content safety, API key authentication, daily quota management. Perfect for creative projects, character design, professional portraits, and diverse representation.You can use this API service for free , API requests are automatically approved , or donation of $5 entitles you to an API key with a credit of 1,000 images.
As a process C 62/100 · Has gaps — weak spots: result and completion, when it triggers, progress reporting
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Secrets in code
secret-password-literalSKILL.md:395Hard-coded password / key literal (may be an example)api_key = sys.argv[1]
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 6769 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "powered_by" - note
frontmatter-keyunknown frontmatter key "provider" - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "env_vars" - note
frontmatter-keyunknown frontmatter key "primary_credential" - note
frontmatter-keyunknown frontmatter key "requires" - note
frontmatter-keyunknown frontmatter key "keywords"
Process rating: all ten parameters 62/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 6769 tokens
- 100Steps. 209 steps
- 100Failures and branches. 9 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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
- -275 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 500: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 209 items
- +4Has examples (23 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.