AC volume-open-interest
当用户要用量能（交易量）与持仓兴趣来验证价格信号、判断趋势健康度，或理解胀爆/抛售高潮、交易商分类报告（COT）等时激活。 核心是"价格第一、量能第二"，量能只是验证价格的旁证。 不适用于：单纯画价格线（转 trend-tools）、摆动指数超买超卖（转 oscillators-contrarian）。 关键 trigger 词：成交量验证、持仓兴趣、量价背离、突破量能、胀爆、抛售高潮、COT、交易商分类报告。 Activate when the user wants to use volume and open interest to confirm price signals, judge trend health, or understand blowoffs/selling climaxes and the COT (commitments of traders) report. The core is "price first, volume second" - volume is only corroborating evidence. Not applicable: simply drawing price lines (-> trend-tools), oscillator overbought/oversold (-> oscillators-contrarian). Key trigger words: volume confirmation, open interest, volume-price divergence, breakout volume, blowoff, selling climax, COT, trader classification report.
当用户要用量能（交易量）与持仓兴趣来验证价格信号、判断趋势健康度，或理解胀爆/抛售高潮、交易商分类报告（COT）等时激活。 核心是"价格第一、量能第二"，量能只是验证价格的旁证。 不适用于：单纯画价格线（转 trend-tools）、摆动指数超买超卖（转 oscillators-contrarian）。 关键…
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. 45 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 560 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 2 example trigger phrases
- +3Description length 760: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 45 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.