AC stream-ai-answer
通用流式AI检索问答技能 — 为任意行业应用提供四步流式分析交互界面。 触发场景：用户输入关键词 → AI自动执行：理解意图 → 检索知识库 → 流式生成 → 来源标记 → 完整回答。 当需要实现以下任意场景时激活： (1) AI搜索框 / 智能咨询组件重构 (2) 知识库问答（医疗/法律/金融/教育等垂直领域） (3) 流式回答 + 分步思考过程可视化 (4) 带来源引用的AI回答（PubMed/DOI/文档/数据库） (5) DeepSeek风格四步分析卡片 (6) 任何需要"边想边说"透明AI过程的项目 适用行业：医疗、法律、金融、教育、能源、政务、制造等 适配项目类型：React H5/WebApp、企业知识库、客服系统、问诊平台、科普中心、CRM/ERP AI助手
As a process C 53/100 · 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: 5. 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 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 27 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 887 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
- -237 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 341: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 27 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.