AD zmm-topic
📐 詹明明·今天拍什么 ——短视频选题技能。交互式选题：供需判定 + 对标信号 + 本人真实数据佐证 + 配比检查，不一键生成选题清单。 触发方式：/zmm-topic、/拍什么、/选题、/zmm-选题、「今天拍什么」「帮我出选题」「这个题能不能做」「有个想法你帮我判断下」「这题只有一头」「这题没劲」「帮我把它讲出两头来」 Topic selection for short videos: supply-demand test, benchmark signals, real data evidence. Trigger: /zmm-topic, "what topic should I shoot", "is this topic worth making" —— 📐 詹明明 · 不给公式，给判据。每条规则都标了实测代价。
📐 詹明明·今天拍什么 ——短视频选题技能。交互式选题：供需判定 + 对标信号 + 本人真实数据佐证 + 配比检查，不一键生成选题清单。…
As a process D 43/100 · Unfinished process — 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: 7. 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 43/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 31 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1723 tokens
- 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 2 example trigger phrases
- +3Description length 369: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 31 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (4 of 5)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.