AB seedance-waoo-video-pipeline
自动化短视频工作流（story-to-video pipeline）：从剧本/分镜到生成、字幕 ASR、TTS、合并交付，支持 Seedance / Vidu / MiniMax 多厂商路由。
As a process B 65/100 · Nearly there — weak spots: result and completion, inputs and preconditions, progress reporting
ProcedureInfrastructureMedia and videotype and topics are labelled automatically from the skill text
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: 59. 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 65/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 50When it triggers. No condition that starts the skill
- 70Execution cost. Instruction body is 4092 tokens
- 100Tools and files. No external tools needed
- 100Steps. 244 steps
- 100Failures and branches. 11 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 22 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)
- +3Description length 96: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- -34 of 17 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +4Structure: 32 headings
- +3Step-by-step instructions: 244 items
- +4Reference files are cited in the instructions (16 of 17)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.
External checks
ClawHub: suspicious
This appears to be a legitimate short-video automation skill, but it needs review because it sends user content to configured third-party services and can persist API-key-bearing config copies in output folders.
LLM: suspicious (high) · VirusTotal: · 29 May 2026