AF zmm-title
📐 詹明明·标题与封面 ——多平台标题与封面。按内容本身的形状选结构（12 种结构清单），过卖真 / 违禁词 / 不点名 / 黑话红线，每个标题说清用了什么结构、为什么配这条内容。**不给「通用爆款公式」——实证显示标题结构在不同账号间不通用，附脚本让你算出自己账号的规律。** 触发方式：/zmm-title、/封面、/标题、/zmm-标题、「起个标题」「抖音封面写什么」「小红书标题」「封面大字怎么写」「帮我优化这个标题」 Multi-platform titles and cover text. Picks a structure that fits the content rather than applying a "proven formula" — cross-source testing found none of 12 common title structures replicate across differently-styled accounts. Ships a script to derive your own. Trigger: /zmm-title, "give me a title", "Douyin cover text", "xiaohongshu title" —— 📐 詹明明 · 不给公式，给判据。每条规则都标了实测代价。
📐 詹明明·标题与封面 ——多平台标题与封面。按内容本身的形状选结构（12 种结构清单），过卖真 / 违禁词 / 不点名 / 黑话红线，每个标题说清用了什么结构、为什么配这条内容。不给「通用爆款公式」——实证显示标题结构在不同账号间不通用，附脚本让你算出自己账号的规律。…
As a process F 35/100 · Will not run — References files that are not bundled: scripts/title_struct.py
How to improve
- The text references files that are not there: add them or drop the references.
- 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
- warning
missing-refreference to a missing file: scripts/title_struct.py - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName"
Process rating: all ten parameters 35/100
- 0Tools and files. 1 referenced file(s) missing: scripts/title_struct.py
- 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
- 100Steps. 33 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1468 tokens
- 100Running it twice. No mutating operations
- low 12 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
- -219 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 592: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 33 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: 83.