AC public-opinion-insights
调用 Midu 舆情分析接口，针对指定主体进行指定维度的舆情分析。分析维度包括：['事件概况', '事件进程', '信息总量', '传播速度', '热搜情况', '跨平台传播', '媒体报道情况', 'KOL参与情况', '传播层级', '热门信息', '情绪烈度', '媒体观点分析', 'KOL观点分析', '网民观点分析', '行业专家观点分析', 'AI虚假信息识别', '已认定谣言传播', '研判建议', '活跃作者', '地域分布图', '关键词云', '信息来源分布', '全网信息走势图', '敏感信息占比', '事件盘点', '网民反馈情况', '分职能信息传播情况', '分区域信息传播情况', '总量', '环比', '占比/分布', '同比', '舆论诉求分析', '观点指向分析', '观点倾向指向分析', '同类案例', '关键传播节点', '溯源分析', '应对效果评估', '热度指数', '热度指数排行', '关键词方案'] Call the Midu public opinion insights API for public-opinion analysis.
As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches
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: 6. 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 54/100
- 0Result and completion. Does not say what the result is
- 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
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 5 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 379 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
- +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 501: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 5 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.