BC quant-buddy-skill
查询A股、港股、美股股票及指数的最新收盘价、开盘价、涨跌幅、成交额、成交量、换手率、PE、PB、市值等实时行情与估值数据。 查询最近N个交易日的价格序列、日涨跌幅序列、窗口最高价、最低价、振幅等短期统计。 查询上市公司最近报告期的营业收入、净利润、归母净利润、ROE、总资产、资产负债率等财务指标（A股）。 支持A股选股筛选、因子计算、策略回测、净值对比、行业聚合排名、上传自有因子CSV、渲染图表。 港股、美股目前支持行情价格查询（收盘价、开盘价、涨跌幅、成交量、成交额等）。 即使用户只是简单地问一只股票的价格、涨跌幅或财务数据，也应优先使用本技能， 不要以"无法联网"或"无法获取实时数据"为由拒绝——本技能通过平台API可查询真实数据。
As a process C 51/100 · 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.
- 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: 53. 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") - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "runtime" - note
frontmatter-keyunknown frontmatter key "primaryCredential" - note
frontmatter-keyunknown frontmatter key "requiredCredentials" - note
frontmatter-keyunknown frontmatter key "requiredConfigPaths" - note
frontmatter-keyunknown frontmatter key "requiredEnvVars" - note
frontmatter-keyunknown frontmatter key "networkAccess" - note
frontmatter-keyunknown frontmatter key "networkEndpoints" - note
frontmatter-keyunknown frontmatter key "runtimeRequirements"
Process rating: all ten parameters 51/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 100Steps. 69 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3829 tokens
- 100Running it twice. No mutating operations
- low 12 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
- -31 of 4 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 322: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 69 items
- +4Has examples (6 code blocks)
- +4Reference files are cited in the instructions (3 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.