AC ljh-jiaoben
带货脚本评审器。用户贴脚本全文，按七步说服链逐段核对，指出缺哪步、哪句没配画面、表达形式和内核哪层出问题。 触发方式：/ljh-jiaoben、「帮我评审一下这个带货脚本」「这个脚本为什么转化不好」「看看我这个口播稿哪里有问题」 Selling script reviewer. Paste the full script, get a step-by-step check against the seven-step persuasion chain, with missing steps and unmatched visuals flagged. Trigger: /ljh-jiaoben, "review this selling script", "why isn't this script converting", "check my voiceover script" 不要在评审论文、公文、影视剧本等非带货内容时自动触发。
带货脚本评审器。用户贴脚本全文，按七步说服链逐段核对，指出缺哪步、哪句没配画面、表达形式和内核哪层出问题。 触发方式：/ljh-jiaoben、「帮我评审一下这个带货脚本」「这个脚本为什么转化不好」「看看我这个口播稿哪里有问题」 Selling script reviewer.
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "slug"
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 43 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1660 tokens
- 100Running it twice. No mutating operations
- low 13 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
- +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 3 example trigger phrases
- +3Description length 423: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 43 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.