SKILLEMALL.ai

AD manga-animation

完整的漫剧(动画漫画)生成工作流 skill。当用户想要:创作漫画剧集、生成动画短片、制作分镜脚本、设计原创角色、生成动漫风格视频片段、将故事想法转化为可视化内容,或任何涉及"漫剧""动漫创作""分镜""人设""画风设定""AI生成动画""参考图生成"的请求时,必须使用此 skill。 流程覆盖:剧本创作 → 分镜设计 → 人设+画风设定 → 分镜图生成(方舟图像)→ 视频生成(方舟图生视频)。每个阶段结束后必须等待用户确认再继续。即使用户只说"给我做个漫画动画"也应立即触发本 skill。

ClawHub Agent Skills author: 徐京徽 v1.0.0 MIT-0 8 files body ≈ 1 152 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
D
39/100
Unfinished process
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: 8. 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")

Process rating: all ten parameters 39/100

  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (manga-animation) differs from the folder (polecomic)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 7 steps
  • 100Execution cost. Instruction body is 1152 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

  • +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
  • +5Description quotes 2 example trigger phrases
  • +3Description length 248: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 7 items
  • +4Has examples (10 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

External checks

ClawHub: clean
This is a coherent manga-animation workflow that uses disclosed Volcengine Ark APIs and local project files, with privacy and credential-handling precautions users should understand.
LLM: benign (high) · VirusTotal: · 29 May 2026