BF stocktoday
A股 / 港股 / 美股 / 基金 / 期货 / 期权 / 债券 / 宏观 数据研究技能. 提供 235+ 个数据接口, 后端走 StockToday 自定义加速 (https://tushare.citydata.club/), 接口命名跟 tushare 100% 兼容. 适用于把"看走势 / 查财报 / 比较公司 / 看板块 / 看资金流 / 梳理公告新闻 / 看宏观 / 拉数据导出"这类请求, 转成可执行的金融数据获取 / 清洗 / 对比 / 筛选 / 导出流程.
A股 / 港股 / 美股 / 基金 / 期货 / 期权 / 债券 / 宏观 数据研究技能.
As a process F 34/100 · Will not run — References files that are not bundled: references/数据接口.md, references/数据接口.md
The same skill appears in 1 more place: ClawHub
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: 1. 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: references/数据接口.md - warning
missing-refreference to a missing file: references/数据接口.md - note
frontmatter-keyunknown frontmatter key "requirements"
Process rating: all ten parameters 34/100
- 0Tools and files. 2 referenced file(s) missing: references/数据接口.md, references/数据接口.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
- 70Execution cost. Instruction body is 4548 tokens
- 100Steps. 61 steps
- 100Consistency. Name and required fields are in place
- 100Running it twice. No mutating operations
- low 13 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 238: enough signal without eating the budget
- +4Structure: 61 headings
- +3Step-by-step instructions: 61 items
- +4Has examples (19 code blocks)
- +3All 3 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.