BD investment-analysis
三维投资分析框架 - 基于宏观-行业-公司三维认知的投资分析体系。使用场景：(1) 个股深度分析，(2) 投资组合诊断，(3) 行业赛道评估，(4) 宏观经济研判，(5) 交易决策支持。当用户需要进行股票投资分析、构建投资体系、评估标的质地、制定交易策略时触发此skill。
As a process D 41/100 · 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.
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: 4. 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")
Process rating: all ten parameters 41/100
- 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
- 40Consistency. Frontmatter name (investment-analysis) differs from the folder (zhao-investment)
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 87 steps
- 100Execution cost. Instruction body is 775 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)
- +3Output format is not stated: the model decides each time
- -42 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 137: enough signal without eating the budget
- +4Structure: 32 headings
- +3Step-by-step instructions: 87 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.
External checks
ClawHub: clean
This is a text-only investment analysis framework with no code execution, credentials, persistence, or hidden data handling, though users should treat its financial outputs as educational rather than advice.
LLM: benign (high) · VirusTotal: · 29 May 2026