SKILLEMALL.ai

AD linkfox-aigc-videogen-image-to-video

图转视频Skill,把图片生成短视频,覆盖参考图模式和首尾帧模式。参考图模式支持 seedance2.0、seedance2.0fast、可灵Omni、HappyHorse、海螺2.3、wan2.6;首尾帧模式支持 seedance2.0、seedance2.0fast、可灵2.6。用户说"图转视频"、"图片转视频"、"把这张图动起来"、"参考图生成视频"、"首尾帧视频"、"image to video"、"reference image video"、"first last frame video"时触发;带货口播、数字人讲解、完整广告成片不在本Skill范围。

ClawHub Agent Skills author: linkfox-ai v1.0.0 MIT-0 16 files body ≈ 2 009 tokens Open the sourceclawhub.ai analyzed 4 d ago

图转视频Skill,把图片生成短视频,覆盖参考图模式和首尾帧模式。参考图模式支持 seedance2.0、seedance2.0fast、可灵Omni、HappyHorse、海螺2.3、wan2.6;首尾帧模式支持…

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
D
41/100
Unfinished process
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. 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: 5. 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")

Process rating: all ten parameters 41/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (linkfox-aigc-videogen-image-to-video) differs from the folder (linkfox-expert-aigc-videogen-image-to-video)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 56 steps
  • 100Execution cost. Instruction body is 2009 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 285: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 56 items
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: suspicious
The skill is mainly an image-to-video integration, but it needs Review because bundled helpers also handle account login, API-key issuance, and payment-order workflows with sensitive credential and billing authority.
LLM: suspicious (high) · 14 Aug 2026