SKILLEMALL.ai

AB seedance-v2

Seedance 2.0 Pro on RunComfy. Seedance 2.0 Pro (ByteDance Seedance v2) is a multi-modal cinematic short-form video model with native lip-sync audio. This skill calls Seedance 2.0 Pro through the RunComfy CLI: `runcomfy run bytedance/seedance-v2/pro`. Seedance 2.0 Pro accepts up to 9 image references, 3 video references, and 3 audio references in one Seedance call, producing 4–15 second cinematic clips at 720p. Triggers on "seedance", "seedance 2", "seedance v2", "seedance pro", "seedance 2.0", "ByteDance Seedance", or any explicit ask to generate video with Seedance.

ClawHub Agent Skills author: mew v1.0.0 MIT-0 2 files body ≈ 2 858 tokens Open the sourceclawhub.ai analyzed 27 h ago

Seedance 2.0 Pro on RunComfy. Seedance 2.0 Pro (ByteDance Seedance v2) is a multi-modal cinematic short-form video model with native lip-sync audio. This…

As a process B 67/100 · Nearly there — weak spots: result and completion, running it twice, progress reporting

IntegrationMedia and videoAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
B
67/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
Running it twice w 4
30
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: 2. 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 "displayName"
  • note frontmatter-key unknown frontmatter key "emoji"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "clawdis"

Process rating: all ten parameters 67/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 3 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 25 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2858 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +3Description length 573: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (5 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill is a straightforward RunComfy video-generation guide, but prompts and referenced media are sent to RunComfy for processing.
LLM: benign (high) · VirusTotal: · 27 Jul 2026