SaferSkills independently audited Query-Amplifier (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Use when:
Do NOT use when:
Query-Amplifier 增强而非替代搜索引擎: 在保持原始搜索意图不变的前提下,将单点搜索扩展为一组并行查询,减少因表达差异、术语变体和隐性说法造成的漏检。
目标: 让用户从"搜到已知表述"升级为"搜到同一意图在不同圈层里的多种表达"。
当用户请求扩展搜索时,按以下流程执行:
提取用户输入的核心要素:
如果检测到一词多义,先向用户确认具体意图。
核心规则: 每个维度必须同时输出 基础词 (直接可识别) + 暗语 (隐晦/圈层内才知道) 两类词。暗语挖掘必须联网搜索,不得仅依赖离线知识。
💡 术语说明: - 基础词: 普通人能直接理解的词 (如: 朋友圈、阿尔茨海默病) - 暗语: 圈层内部才知道的隐晦表达 (如: 仅三天可见、粉蓝色)
#### 联网暗语挖掘流程 (必须执行)
"{核心词} slang meaning urban dictionary" 获取基础释义"{核心词} meaning site:reddit.com 获取社区讨论和真实用例"{核心词} slang site:x.com OR site:twitter.com 获取平台实时用法"{核心词} meaning tiktok gen z slang 获取年轻群体用语#### 轨道 A: 明文层 (直接可识别的词)
| 维度 | 说明 | 示例(内卷) |
|---|---|---|
| 语义 | 同义词、近义词、上下位词 | involution, 过度竞争 |
| 表达 | 不同说法、翻译 | 内卷化, 恶性竞争 |
| 别名 | 官方别名、民间别称、缩写 | 卷, 内卷效应 |
#### 轨道 B: 暗语层 (隐晦/圈层内才知道的词)
| 维度 | 说明 | 挖掘方法 | 示例(外围) |
|---|---|---|---|
| 圈层 | 行业术语、社区暗语、流行说法 | ①日常行为代称(喝茶/上课) ②emoji/拼音缩写 ③正规化包装(高端社交) ④圈子内部用语(外围车/外围局) ⑤事件/地点代称(萝莉岛/XX门) | 喝茶、上课、WY、高端社交、萝莉岛 |
| 语境 | 不同场景下的隐晦表达 | ①商务场景包装 ②文化活动包装 ③互联网术语延伸 ④社会新闻/公共事件关联 ⑤关联角色/人群(摄影师/Coser/模特) ⑥关联/替代行为(约拍→约炮) | 茶艺表演、私人定制、Coser、约炮 |
| 演变 | 新出现/正在变化的词 | 跟踪社交平台/新闻中的最新说法 | 外围mm、外围🐔 |
强制要求:
根据扩展结果构建搜索策略:
精准搜索: A OR B OR C (高置信度词, confidence ≥ 0.9)
标准搜索: A OR B OR C OR D OR E (中置信度词, 0.7 ≤ confidence < 0.9)
广泛搜索: 所有扩展词 (探索性搜索, confidence ≥ 0.5)
排除搜索: A NOT X (排除干扰词)按以下 JSON 格式输出:
{
"originalQuery": "核心词",
"iteration": 1,
"expandedQueries": [
{"query": "扩展词", "type": "维度类型", "confidence": 0.95, "confidenceBasis": "搜索命中 12 条结果, 3 个权威来源", "explanation": "说明", "discoveredAt": "2026-04"}
],
"searchCombinations": [
{"name": "策略名", "queries": ["词1", "词2"], "logic": "OR", "description": "适用场景"}
],
"qualityScore": 85
}字段说明:
iteration: 当前迭代次数 (1=首轮, 2/3=迭代轮次)confidenceBasis: 置信度依据 (如: "搜索命中 X 条结果, Y 个权威来源" 或 "高频使用, 多平台验证")discoveredAt: 暗语首次发现时间 (YYYY-MM 格式,仅暗语需要)type 可选值: synonym | alternative | alias | jargon | contextual | related
输出前自检:
质量评分标准:
如果质量评分 < 80,在输出开头告知用户: ⚠️ 正在进行第 N 次迭代优化 (原因: XXX)...
最多迭代 3 次,最终交付当前最佳结果 + 质量说明。
默认配置:
{
"defaultExpansionCount": 10,
"includeJargon": true,
"minConfidenceThreshold": 0.5,
"qualityThreshold": 80,
"supportedContexts": ["academic", "social", "technical", "business", "general"]
}详细圈层词库参考: COMMUNITY-JARGON.md 完整工作流文档参考: WORKFLOW.md 更多示例参考: examples.md
用户: "帮我扩展'约拍'的搜索范围"
输出:
{
"originalQuery": "约拍",
"expandedQueries": [
{"query": "摄影约拍", "type": "synonym", "confidence": 0.95, "explanation": "摄影圈核心词"},
{"query": "约片", "type": "jargon", "confidence": 0.92, "explanation": "摄影圈简称 [圈内缩写]"},
{"query": "私拍", "type": "jargon", "confidence": 0.90, "explanation": "私下拍摄 [行为代称]"},
{"query": "私房", "type": "jargon", "confidence": 0.88, "explanation": "私房照 [场景代称]"},
{"query": "互免", "type": "jargon", "confidence": 0.87, "explanation": "互相免费 [圈内暗语]"},
{"query": "寄拍", "type": "jargon", "confidence": 0.85, "explanation": "寄送拍摄 [圈内暗语]"},
{"query": "Coser", "type": "jargon", "confidence": 0.88, "explanation": "高频关联角色 [角色关联]"},
{"query": "模特", "type": "related", "confidence": 0.86, "explanation": "关联角色 [角色关联]"},
{"query": "摄影师", "type": "related", "confidence": 0.84, "explanation": "关联角色 [角色关联]"},
{"query": "约炮", "type": "jargon", "confidence": 0.82, "explanation": "语义替代行为 [行为替代]"},
{"query": "约拍门", "type": "jargon", "confidence": 0.85, "explanation": "负面事件 [事件代称]"},
{"query": "约拍事件", "type": "related", "confidence": 0.83, "explanation": "社会新闻 [事件代称]"}
],
"searchCombinations": [
{"name": "精准搜索", "queries": ["约拍", "摄影约拍", "约片"], "logic": "OR", "description": "核心词"},
{"name": "暗语搜索", "queries": ["私拍", "私房", "互免", "寄拍"], "logic": "OR", "description": "圈内隐语"},
{"name": "角色搜索", "queries": ["Coser", "模特", "摄影师"], "logic": "OR", "description": "关联角色/人群"},
{"name": "行为搜索", "queries": ["约炮"], "logic": "OR", "description": "关联/替代行为"},
{"name": "事件搜索", "queries": ["约拍门", "约拍事件"], "logic": "OR", "description": "负面事件/新闻"},
{"name": "组合搜索", "queries": ["约拍 OR 约片 OR 私拍 OR 互免 OR Coser OR 约炮 OR 约拍门"], "logic": "OR", "description": "明文+暗语+角色+行为+事件"}
],
"qualityScore": 92
}~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.