SKILLEMALL.ai

AB text-to-comic

Turn text, dialog, diary entries, photo notes, or knowledge notes into a comic, picture book, infographic, or hybrid comic+diagram — storyboard and panel plan first, then panel-by-panel rendering, with style presets and consistent characters. 把文字、对话、日记、照片说明或知识内容转成漫画/绘本/信息图,先出分镜再逐格出图,角色一致、可只改单格。Use when 想画故事、对话变漫画、概念变信息图、旅行日记配图、改某一格而不重画整页。Not for 纯文字写作、模仿在世画家的标志性风格、复制受版权保护的素材。

ClawHub Claude Code author: Bonnie Geng v2.3.1 MIT-0 12 files body ≈ 2 690 tokens Open the sourceclawhub.ai analyzed 13 h ago

Turn text, dialog, diary entries, photo notes, or knowledge notes into a comic, picture book, infographic, or hybrid comic+diagram — storyboard and panel plan…

As a process B 76/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

ProcedureMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
B
76/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

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. 172 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 2690 tokens
    • low 11 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
    • -32 of 2 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 378: enough signal without eating the budget
    • +4Structure: 26 headings
    • +3Step-by-step instructions: 172 items
    • +3Output format is stated explicitly
    • +4Has examples (0 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This is a disclosed text-to-comic workflow with small local helper scripts and image-generation use, with minor language-default and activation-scope caveats.
    LLM: benign (high) · VirusTotal: · 13 Sept 2026