BF hectorlee-momentum-position-advisor
动量持仓顾问 V1.3.8。纯量价动量评估，判断持仓该继续持有、减仓还是卖出。8持有+6预警+4卖出+4加仓+3反弹形态（含M12V形反转+M13双底+M0横盘兜底）。新增决策滞回防震荡+减仓比例建议+资金流向维度+市场自适应+今日放量反弹覆盖+M10反弹阳线豁免+B2回踩判定修复。108分制评分。
动量持仓顾问 V1.3.8。纯量价动量评估，判断持仓该继续持有、减仓还是卖出。8持有+6预警+4卖出+4加仓+3反弹形态（含M12V形反转+M13双底+M0横盘兜底）。新增决策滞回防震荡+减仓比例建议+资金流向维度+市场自适应+今日放量反弹覆盖+M10反弹阳线豁免+B2回踩判定修复。108分制评分。
As a process F 35/100 · Will not run — References files that are not bundled: ../volume-price-screener/SKILL.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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: 18. 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") - warning
missing-refreference to a missing file: ../volume-price-screener/SKILL.md - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 35/100
- 0Tools and files. 1 referenced file(s) missing: ../volume-price-screener/SKILL.md
- 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
- 100Steps. 81 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3674 tokens
- 100Running it twice. No mutating operations
- low 19 top-level sections: this looks like several domains in one skill
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
- -228 emoji in the instructions: noise for the model
- -31 of 9 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 150: enough signal without eating the budget
- +4Structure: 63 headings
- +3Step-by-step instructions: 81 items
- +4Has examples (11 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.