AC content-goldmine
拆解爆款文章、提取创意积木、分析写作结构。当用户要求"拆解这篇文章"、"分析文章结构"、"提取写作技巧"、"为什么这篇文章好"、"学习这篇文章的写法"、"提取金句"、"分析爆款"、"内容拆解"、"content goldmine"、"拆解积木"时触发。也适用于用户说"这篇文章写得好，帮我分析一下"、"我想学这种写法"、"帮我提取可复用的东西"等场景。当用户给出一篇文章并希望从中学习写作方法时，即使没有明确说"拆解"，也应触发。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
- 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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
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. 34 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 628 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
- +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 9 example trigger phrases
- +3Description length 215: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 34 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.
External checks
ClawHub: clean
This writing-analysis skill is coherent and only contains Markdown instructions, though users should approve any note-saving before it writes to an Obsidian vault or material library.
LLM: benign (high) · VirusTotal: · 29 May 2026