AC zmm-post
📐 詹明明·公众号短文 ——公众号贴图短文技能。把验证过的内容 / 碎片做成一条公众号「短文」：标题 ≤20 中文字 + 正文 ≤1000 中文字 + 一张 banner 图。定位=轻量图文，不是 article-pipeline 那种长文深稿。标题接力 /zmm-title、首句过 /zmm-hook 口径、过国内公域全红线（公众号≠X，违禁词/大模型合规/编程词禁令重新生效）。 触发方式：/zmm-post、/公众号短文、/zmm-短文、「做个公众号短文」「公众号贴图」「这条发公众号短文」「配个 banner 的短图文」 WeChat OA short-post format: title ≤20 CN chars + body ≤1000 CN chars + one banner image. Title defers to /zmm-title, hook uses /zmm-hook standard, full domestic-platform red lines apply. Trigger: /zmm-post, "make a WeChat short post", "公众号短文" —— 📐 詹明明 · 不给公式，给判据。每条规则都标了实测代价。
📐 詹明明·公众号短文 ——公众号贴图短文技能。把验证过的内容 / 碎片做成一条公众号「短文」：标题 ≤20 中文字 + 正文 ≤1000 中文字 + 一张 banner 图。定位=轻量图文，不是 article-pipeline 那种长文深稿。标题接力 /zmm-title、首句过 /zmm-hook…
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 "slug" - note
frontmatter-keyunknown frontmatter key "displayName"
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. 22 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 772 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
- +5Description has no quoted example phrases that should trigger the skill
- +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
- +3Description length 544: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 22 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.