AC alibabacloud-bailian-video-creator
AI video creation skill supporting text-to-video, image-to-video, reference-to-video, video editing, and video understanding. Uses wan2.6-t2v, wan2.6-i2v, wan2.6-r2v-flash, wanx2.1-vace-plus, qwen3.5-plus and other models. Use this skill when users need to generate videos, edit videos, or analyze video content. Note: on first run, it will auto-manage DashScope API Keys (create/recycle) and may auto-install the Alibaba Cloud CLI ModelStudio plugin.
As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, running it twice
How to improve
- 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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Secrets in code
secret-password-literalSKILL.md:175Hard-coded password / key literal (may be an example) (placeholder value)api_key = "sk-a…..." # Hardcoding forbidden
placeholder
Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: AI video creation skill supporting text-to-video, image-to-video, … ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
Process rating: all ten parameters 56/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 12 mutating operations with no state check
- 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Failures and branches. 4 branches
- 70Execution cost. Instruction body is 4743 tokens
- 100Steps. 37 steps
- 100Consistency. Name and required fields are in place
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 11 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 451: enough signal without eating the budget
- +4Structure: 27 headings
- +3Step-by-step instructions: 37 items
- +4Has examples (16 code blocks)
- +4Reference files are cited in the instructions (4 of 5)
- +3All 8 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.