AC iFinD-Finance-Data
iFinD (同花顺) financial data query - query stocks, funds, macroeconomics, industry economics, news and announcements. Supports smart stock/fund screening, financial data queries, announcement search, and macro/industry indicator search. Trigger: ifind, 同花顺, 股票查询, 基金查询, 宏观数据, 行业数据, 金融数据, 行情数据, 财务数据, 选股, 选基, 财经新闻, 上市公司公告, 热点事件, 股票基本面, 基金业绩, 经济指标, 金融资讯, financial data, stock query, fund query, macro data, market data
As a process C 52/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 52/100
- 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
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 60Failures and branches. 2 branches
- 100Steps. 62 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2901 tokens
- 100Running it twice. No mutating operations
- low 11 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
- +1No license
- +2Single-language instructions
- +3Description length 415: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 62 items
- +4Has examples (6 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.