BD prosperity-investing
生命法庭景气股投资分析框架。基于产业周期和情绪周期的投资方法论，包含四浪理论（题材浪/预期浪/业绩浪/泡沫浪）、景气股分类、生命周期法则及「大开门」子框架（预期浪早期最优品种筛选）。用于：(1)判断股票所处阶段，(2)识别景气上行与下行产业，(3)景气股分类与选股，(4)持仓纪律与买卖节奏，(5)在预期浪早期找到最优品种。触发词：景气投资、四浪理论、生命法庭、景气股、产业周期、预期浪、题材浪、周期成长、景气度投资、拥抱回撤、大开门。
As a process D 49/100 · Unfinished process — 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.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 10. 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
body-longSKILL.md body ≈ 5388 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 49/100
- 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
- 30Running it twice. 2 mutating operations with no state check
- 70Execution cost. Instruction body is 5388 tokens
- 100Tools and files. No external tools needed
- 100Steps. 194 steps
- 100Consistency. Name and required fields are in place
- low 17 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
- -219 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 218: enough signal without eating the budget
- +4Structure: 52 headings
- +3Step-by-step instructions: 194 items
- +4Has examples (13 code blocks)
- +4Reference files are cited in the instructions (7 of 7)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.
External checks
ClawHub: suspicious
This is a coherent investment-research skill, but it should be reviewed because it automatically handles broad file/report inputs, writes persistent investment notes, and gives actionable trading guidance without clear consent boundaries or risk framing.
LLM: suspicious (high) · VirusTotal: · 7 Jun 2026