AC aikey-hook
AI KEY·开头前五秒 ——短视频开头专项技能。先诊断内容有没有货（门禁），再比较真实材料入口与大众悬念入口，结合起手与留白出候选，每个候选标注用了哪个原理。片子拍完且不能补拍的，只从说出口的原话里挑开头。不负责标题和封面大字（→ aikey-title）、整稿哪里会划走（→ aikey-flow）、能不能发（→ aikey-review）。 触发方式：/aikey-hook、/钩子、/开头、/aikey-开头、「开头怎么写」「前五秒抓不住人」「帮我想几个钩子」「这个开头行不行」 Opening-hook specialist: gate-check content first, then generate hooks by expectation forms and information-gap methods. For finished footage that cannot be reshot, picks only lines already spoken. Not for: titles and cover text (aikey-title), drop-off across the script (aikey-flow), publish-readiness (aikey-review). Trigger: /aikey-hook, "how to write the opening", "give me some hooks" —— AI KEY · 不给公式，给判据。每条规则都标了实测代价。
AI KEY·开头前五秒 ——短视频开头专项技能。先诊断内容有没有货（门禁），再比较真实材料入口与大众悬念入口，结合起手与留白出候选，每个候选标注用了哪个原理。片子拍完且不能补拍的，只从说出口的原话里挑开头。不负责标题和封面大字（→ aikey-title）、整稿哪里会划走（→ aikey-flow）、能不能发（→…
As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
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: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName"
Process rating: all ten parameters 57/100
- 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
- 50When it triggers. No condition that starts the skill
- 100Tools and files. No external tools needed
- 100Steps. 38 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1800 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
- +3Output format is not stated: the model decides each time
- -217 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +4Description says when NOT to use the skill
- +3Description length 667: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 38 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.