BC a-share-portfolio
A股投资组合管理/持仓分析。当用户说"组合分析"、"持仓分析"、"portfolio"、"我的持仓怎么样"、"帮我看看组合"、"仓位管理"、"组合优化"、"风险分析"、"再平衡"、"行业暴露"时触发。对用户提供的持仓组合进行全面分析，包括持仓集中度、行业/风格暴露、风险指标、收益归因、再平衡建议。通过 cn-stock-data 获取各持仓股的行情和财务数据。支持机构组合报告风格（formal）和个人持仓复盘风格（brief）。
As a process C 53/100 · Has gaps — 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: 3. 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 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 21 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 599 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
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 216: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 21 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: clean
This portfolio-analysis skill handles sensitive holdings data, but its behavior is disclosed, purpose-aligned, and not persistent or destructive.
LLM: benign (high) · VirusTotal: · 29 May 2026