AC linkfox-aigc-videogen-viral-replicate
爆款视频复刻 Skill：用参考爆款视频和用户商品素材，拆解原视频分镜与镜头语言，分析商品图，生成高保真替换后的视频 prompt，并委托底层视频生成 skill 产出复刻短视频。覆盖说法：爆款视频复刻、复刻爆款短视频、TikTok 爆款复刻、参考爆款视频做同款、用我的商品复刻这个视频、照着爆款做商品视频、viral video replication、replicate viral product video、clone TikTok ad structure、reference video to product video、remake hot video with my product。即使用户只说“照着这个视频给我的商品做一条”“把这个爆款模板套到我的商品”“做同款带货短视频”，也应触发本 skill；普通图转视频、带货口播方案生成、爆款图片复刻不在本范围。
爆款视频复刻 Skill：用参考爆款视频和用户商品素材，拆解原视频分镜与镜头语言，分析商品图，生成高保真替换后的视频 prompt，并委托底层视频生成 skill 产出复刻短视频。覆盖说法：爆款视频复刻、复刻爆款短视频、TikTok…
As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 9. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 54/100
- 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
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (linkfox-aigc-videogen-viral-replicate) differs from the folder (linkfox-expert-aigc-videogen-viral-replicate)
- 50Failures and branches. 0 branches, has a failure section
- 100Tools and files. No external tools needed
- 100Steps. 103 steps
- 100Execution cost. Instruction body is 2645 tokens
- 100Running it twice. No mutating operations
- low 11 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 3 example trigger phrases
- +3Description length 388: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 103 items
- +4Reference files are cited in the instructions (4 of 4)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.