AB ip-character-image-system
Use this skill when the user has an IP idea, sketch, reference image, base three-view image, character concept, mascot brief, toy figure concept, brand/project need, or story setting and wants to automatically break it into a complete image asset production plan with stable, reusable, iterable prompts for each image type. Use for IP character design, character visual systems, base three-view image extraction, three-view-to-asset expansion, line-art turnarounds, expression packs, pose sheets, collectible toy renders, packaging/merchandise mockups, social launch visuals, and full prompt systems. Do not use for unrelated general poster, logo, UI, presentation, layout, or non-character image editing tasks.
Use this skill when the user has an IP idea, sketch, reference image, base three-view image, character concept, mascot brief, toy figure concept…
As a process B 72/100 · Nearly there — weak spots: inputs and preconditions, failures and branches, running it twice
How to improve
- 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
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 72/100
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 30Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 2 mutating operations with no state check
- 60Result and completion. Output format stated, no completion criterion
- 100Tools and files. No external tools needed
- 100Steps. 135 steps
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2833 tokens
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
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 711: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 135 items
- +3Output format is stated explicitly
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.