SKILLEMALL.ai

BC story-comic-creator

将故事/小说/回忆录等文字内容制作成专业的连环画/漫画(HTML格式),支持多宫格布局、气泡式对白、心理活动气泡、旁白框、音效字、分集结构。涵盖从剧本创作、角色设定、批量生图、HTML组装到压缩发布的完整工作流。适用于"把我的故事做成漫画""生成连环画""做个小人书""故事转漫画"等需求。

ClawHub Agent Skills author: piprot v1.0.0 MIT-0 6 files body ≈ 4 589 tokens Open the sourceclawhub.ai analyzed 2 d ago

将故事/小说/回忆录等文字内容制作成专业的连环画/漫画(HTML格式),支持多宫格布局、气泡式对白、心理活动气泡、旁白框、音效字、分集结构。涵盖从剧本创作、角色设定、批量生图、HTML组装到压缩发布的完整工作流。适用于"把我的故事做成漫画""生成连环画""做个小人书""故事转漫画"等需求。

As a process C 52/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "display_name"
  • note frontmatter-key unknown frontmatter key "display_name_en"
  • note frontmatter-key unknown frontmatter key "description_zh"
  • note frontmatter-key unknown frontmatter key "description_en"
  • note frontmatter-key unknown frontmatter key "update"

Process rating: all ten parameters 52/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 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
  • 70Execution cost. Instruction body is 4589 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 214 steps
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. No mutating operations

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 145: enough signal without eating the budget
  • +4Structure: 48 headings
  • +3Step-by-step instructions: 214 items
  • +4Has examples (15 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This comic-making skill is mostly coherent, but its bundled compression script can delete unrelated files if pointed at an existing destination folder.
LLM: suspicious (high) · VirusTotal: · 11 Sept 2026