BD hectorlee-global-risk-signal
A股盘前外围风险信号雷达。聚合外围行情(A50期货/纳指期货/离岸人民币/美元指数/VIX/美债10Y)、地缘事件(GDELT)、财经日历(华尔街见闻)、中国资金面(两融/龙虎榜/沪深港通)、国内新闻(中新网/东财快讯/新浪滚动)、宏观数据(东财PMI/CPI/PPI+World Bank)六大维度，做多空情景推演打分，输出方向判断+1-5级风险分级+可分享信号卡，支持推送飞书群。MIT开源免费、零第三方依赖、无key开箱即用。触发词：盘前雷达、盘前信号、外围风险、全球风险、外围市场、今晚外围、盘前外围、风险信号、今日外围、外围异动。
A股盘前外围风险信号雷达。聚合外围行情(A50期货/纳指期货/离岸人民币/美元指数/VIX/美债10Y)、地缘事件(GDELT)、财经日历(华尔街见闻)、中国资金面(两融/龙虎榜/沪深港通)、国内新闻(中新网/东财快讯/新浪滚动)、宏观数据(东财PMI/CPI/PPI+World…
As a process D 43/100 · 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.
- 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: 16. 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 "displayName" - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 43/100
- 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
- 30Running it twice. 5 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 14 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 649 tokens
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
- +2Single-language instructions
- +3Description length 270: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (2 code blocks)
- +3All 10 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.