AB text-to-comic
将用户文字、照片说明或知识内容转化为漫画、绘本或信息图；先做结构化 storyboard/panel plan，再逐格出图、校验与拼版，适用于需要风格推荐、角色一致性和可迭代修改的视觉化任务。
将用户文字、照片说明或知识内容转化为漫画、绘本或信息图；先做结构化 storyboard/panel plan，再逐格出图、校验与拼版，适用于需要风格推荐、角色一致性和可迭代修改的视觉化任务。
As a process B 76/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting
ProcedureInfrastructureMedia and videotype and topics are labelled automatically from the skill text
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 · 0
✓ No critical or high findings
Files scanned: 12. 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 76/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 3 mutating operations with no state check
- 60Result and completion. Output format stated, no completion criterion
- 85Steps. 169 steps, 2 vague phrases
- 100Tools and files. No external tools needed
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 4 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2578 tokens
- low 10 top-level sections: this looks like several domains in one skill
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
- +3Description length 96: 120–800 characters recommended
- -32 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +4Structure: 25 headings
- +3Step-by-step instructions: 169 items
- +3Output format is stated explicitly
- +4Has examples (0 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.
External checks
ClawHub: clean
This skill coherently turns user-provided text into comics or visual storyboards using image generation and small local helper scripts, with no evidence of hidden data access or unsafe behavior.
LLM: benign (high) · VirusTotal: · 3 Sept 2026