AC dow-theory-framework
当用户需要判断"当前市场处于什么趋势、什么规模、什么阶段"，或使用道氏的相互验证/相互背离、 交易量验证、以及"反转必须等确凿信号"等原则时激活。它是全书趋势类工具的总纲。 不适用于：具体画支撑阻挡线（转 trend-tools）、具体形态识别（转 reversal-patterns）。 关键 trigger 词：道氏理论、主要/次要/短暂趋势、牛市三阶段、相互验证、确凿反转、趋势还在不在。 Activate when the user needs to determine "what trend, what scale, what stage" the market is in, or uses Dow's confirmation/non-confirmation, volume confirmation, and the "wait for a decisive reversal signal" principle. This is the master framework for all trend tools in the book. Not applicable: drawing specific support/resistance lines (-> trend-tools), specific pattern identification (-> reversal-patterns). Key trigger words: Dow theory, primary/secondary/minor trend, three bull-market phases, confirmation, decisive reversal, is the trend still intact.
当用户需要判断"当前市场处于什么趋势、什么规模、什么阶段"，或使用道氏的相互验证/相互背离、 交易量验证、以及"反转必须等确凿信号"等原则时激活。它是全书趋势类工具的总纲。 不适用于：具体画支撑阻挡线（转 trend-tools）、具体形态识别（转 reversal-patterns）。 关键 trigger…
As a process C 59/100 · 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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "source_book" - note
frontmatter-keyunknown frontmatter key "source_chapter" - note
frontmatter-keyunknown frontmatter key "related_skills"
Process rating: all ten parameters 59/100
- 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
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 44 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 588 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 760: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 44 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.