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AD linkfox-aigc-videogen-sale

带货口播视频Skill,把商品图、商品卖点、销售地区、受众、语言和时长组装成跨境电商带货口播MP4,覆盖商品口播、TikTok带货视频、达人种草视频、product talking video、sale video、e-commerce talking head video。用户说"带货口播"、"商品口播"、"帮我做一个产品带货视频"、"生成TikTok口播广告"、"make a product talking video"时触发。即使用户只说"用这些商品图做一个能卖货的视频"、"做跨境短视频素材"或"seller video with speaking model",也应触发本Skill;普通图转视频、视频剪辑、带货数据分析不在本Skill范围。

ClawHub Agent Skills author: linkfox-ai v1.0.0 MIT-0 23 files body ≈ 2 460 tokens Open the sourceclawhub.ai analyzed 3 d ago

带货口播视频Skill,把商品图、商品卖点、销售地区、受众、语言和时长组装成跨境电商带货口播MP4,覆盖商品口播、TikTok带货视频、达人种草视频、product talking video、sale video、e-commerce talking head…

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

GeneratorMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
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: 6. 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-sale) differs from the folder (linkfox-expert-aigc-videogen-sale)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 70 steps
  • 100Execution cost. Instruction body is 2460 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
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +3Description length 328: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 70 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: suspicious
The skill is mostly a disclosed LinkFox product-video workflow, but it needs Review because it handles account/API-key/payment flows and contains mandatory race-based generation rules.
LLM: suspicious (high) · 14 Aug 2026