A design-agent
Design consultation skill for AI agents. Invoke when another agent, skill, or user requests design review, design tokens, or UI美化 (UI beautification). Provides structured design prompts, DESIGN.md files, color systems, typography rules, spacing conventions, and component patterns. Use when building UI, generating HTML/React, writing newsletters, or any output where visual design matters. Also triggered by "make it look better", "apply design", "improve the UI", or "add design context".
- Safety 60%
- Quality 40%
- Tests bonus
How to improve
- Add evals/evals.json with 4–6 real requests and expected answers: the full check will then use your cases instead of a model draft.
- Add a spec.yaml with triggers and assertions (skilltest init): the behaviour contract for CI.
Guard findings · 0
✓ No critical or high findings
Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.
Lint
✓ Lint: no remarks
Process maturity 58/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 100Tools and files. No external tools needed
- 100Steps. 12 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1192 tokens
- 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 490: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 12 items
- +4Has examples (8 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.