BC Cultural Naming & AI Art Creation
Transform a foreign identity into a Chinese cultural masterpiece. Give foreign tourists a meaningful Chinese name, generate classical Chinese poetry (Jueju & Lüshi), create traditional seal-carving art, and produce ink-wash landscape paintings or ancient-style portrait avatars inspired by the poetry. Compatible with OpenClaw (Lobster Claw), Tencent SkilHub, and major AI agent frameworks.
As a process C 62/100 · Has gaps — weak spots: when it triggers, failures and branches, consistency
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "languages" - note
frontmatter-keyunknown frontmatter key "runtime" - note
frontmatter-keyunknown frontmatter key "permissions" - note
frontmatter-keyunknown frontmatter key "trigger_phrases"
Process rating: all ten parameters 62/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (Cultural Naming & AI Art Creation) differs from the folder (cultural-naming-art)
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 23 steps
- 100Execution cost. Instruction body is 3978 tokens
- 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)
- -215 emoji in the instructions: noise for the model
- +2Single-language instructions
- +3Description length 390: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 23 items
- +3Output format is stated explicitly
- +4Has examples (10 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.