SKILLEMALL.ai

AB vidu-skills

Generate video and images by calling the official Vidu API with curl. Use when the user wants text-to-image (文生图), text-to-video (文生视频), image-to-video (图生视频), head-tail-image-to-video (首尾帧生视频), reference-to-image (参考生图), reference-to-video (参考生视频), Create References (创建参考资料), or to submit or check Vidu tasks. Requires VIDU_TOKEN and optional VIDU_BASE_URL.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 5 files body ≈ 4 613 tokens Open the sourcegithub.com analyzed 25 h ago

Generate video and images by calling the official Vidu API with curl.

As a process B 65/100 · Nearly there — weak spots: consistency, running it twice

IntegrationMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
B
65/100
Nearly there
Running it twice w 4
30
Consistency w 8
40
Tools and files w 18
60
the three weakest of ten parameters · all ten

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: 5. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "url"
    • note frontmatter-key unknown frontmatter key "secrets"
    • note frontmatter-key unknown frontmatter key "dependencies"

    Process rating: all ten parameters 65/100

    • 30Running it twice. 24 mutating operations with no state check
    • 40Consistency. Frontmatter name (vidu-skills) differs from the folder (vidu-skill)
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 60Steps. 68 steps, 4 vague phrases
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Execution cost. Instruction body is 4613 tokens
    • 100Failures and branches. 1 branches, has a failure section
    • 100Progress reporting. Reports progress
    • low 15 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 359: enough signal without eating the budget
    • +4Structure: 21 headings
    • +3Step-by-step instructions: 68 items
    • +3Output format is stated explicitly
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.