SKILLEMALL.ai

CF seedance-comic-to-video

Convert comic book panels, manga pages, webtoons, and illustrated storyboards into animated video using Seedance 2.0 on Higgsfield. Use whenever the user wants to animate comics, bring illustrations to life, convert manga to video, animate storyboards, or create motion from static sequential art. Triggers on: comic to video, manga animation, panel animation, storyboard to video, webtoon animation, comic book motion, sequential art, graphic novel animation, or any illustrate-to-animate request. Use even when user says "make this drawing move" or "animate this page.

beshuaxian/higgsfield-seedance2-jineng Agent Skills author: beshuaxian 1 file body ≈ 21 588 tokens Open the sourcegithub.com↗ analyzed 14 h ago

Convert comic book panels, manga pages, webtoons, and illustrated storyboards into animated video using Seedance 2.0 on Higgsfield. Use whenever the user…

As a process F 33/100 · No process to follow — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
C
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
F
33/100
No process to follow
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. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Convert comic book panels, manga pages, webtoons, and illustrated … ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning body-long SKILL.md body ≈ 21588 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 33/100

  • 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
  • 10Execution cost. Instruction body is 21588 tokens: crowds the task out of the window
  • 30Running it twice. 12 mutating operations with no state check
  • 40Consistency. Frontmatter name (seedance-comic-to-video) differs from the folder (04-comic-to-video)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 60Steps. 263 steps, 7 vague phrases
  • 70When it triggers. States when to use, but not when not to
  • low 16 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
  • +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 570: enough signal without eating the budget
  • +4Structure: 99 headings
  • +3Step-by-step instructions: 263 items
  • +4Has examples (62 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.