AC trend-tools
当用户要在图上识别并利用支撑与阻挡（含角色互换）、绘制/判定趋势线与管道线、用百分比回撤找加仓区、 理解速度线/扇形原理、或识别价格跳空与反转日时激活。这是全书最高频、最落地的工具集。 不适用于：判断宏观趋势层级（转 dow-theory-framework）、识别头肩等特定形态（转 reversal-patterns）。 关键 trigger 词：支撑位阻力位、趋势线怎么画、跌破趋势线、50%回撤、跳空、反转日、扇形。 Activate when the user wants to identify and use support & resistance (incl. role reversal), draw/judge trendlines and channels, use percentage retracement for add-zones, understand speed lines/fan principle, or identify price gaps and reversal days. This is the highest-frequency, most practical toolset in the book. Not applicable: judging macro trend hierarchy (-> dow-theory-framework), identifying specific patterns like head-and-shoulders (-> reversal-patterns). Key trigger words: support/resistance, how to draw trendline, break below trendline, 50% retracement, gap, reversal day, fan.
当用户要在图上识别并利用支撑与阻挡（含角色互换）、绘制/判定趋势线与管道线、用百分比回撤找加仓区、 理解速度线/扇形原理、或识别价格跳空与反转日时激活。这是全书最高频、最落地的工具集。 不适用于：判断宏观趋势层级（转 dow-theory-framework）、识别头肩等特定形态（转…
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. 49 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 617 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)
- +3Description length 808: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Structure: 19 headings
- +3Step-by-step instructions: 49 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.