BD amazon-product-analysis-zh
把一个亚马逊商品链接变成可执行的社媒短视频脚本——自动提炼 Listing 卖点、挖掘评论区里的用户真实语言/高频痛点，最后按用户选定的方向（种草类/剧情类/直接转化类）产出带依据的分镜脚本。当用户甩来一个 amazon.com 或 amzn.to 商品链接，并提到要做短视频、带货视频、社媒素材，或者问"这个产品适合拍什么视频""帮我写个视频脚本/文案"时，应该触发这个 skill，即使用户没有明确说出"skill"这个词。当前版本聚焦"卖点+评论洞察"出脚本，暂时跳过"去社媒找爆款视频拆解"这一步（原因见下方"已知限制"），也不生成视频本身（视频合成是下一轮迭代，遇到"直接出个视频"或"分析一下同类爆款视频"的要求，说明现状，别硬凑）。
把一个亚马逊商品链接变成可执行的社媒短视频脚本——自动提炼 Listing 卖点、挖掘评论区里的用户真实语言/高频痛点，最后按用户选定的方向（种草类/剧情类/直接转化类）产出带依据的分镜脚本。当用户甩来一个 amazon.com 或 amzn.to…
As a process D 46/100 · Unfinished process — 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: 3. 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 46/100
- 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
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 100Steps. 24 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1286 tokens
- 100Running it twice. No mutating operations
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 7 example trigger phrases
- +3Description length 323: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 24 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.