360 Secure SkillHub
360 安全技能中心

Knowledge Router

核心功能:扫描分类知识源,推断查询意图,推荐主次适配知识源,提示成熟知识向更持久层迁移。典型场景:需确定问题答题来源、构建统一知识索引、检测知识升级时机时使用。输入为查询语句,可附加参数,输出路由报告,遵循优先路由、精简源等规则

lethehades
lethehades
热度 11.32
最近更新 2026-07-22 18:07:46
分类:知识依赖:代码执行 / 读写文件 / 内部调用大模型应用场景:研究 / 报告撰写 / 笔记整理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add knowledge-router
Metadata
name
knowledge-router
description
Build a lightweight routing layer across existing knowledge sources such as MEMORY.md, daily memory files, self-improving notes, skill references, and audit records. Use when you need to decide where a question should be answered from before reading too much, when you want a unified knowledge index, or when you want to detect which knowledge should be promoted into a more durable layer.

Knowledge Router

Route queries to the right knowledge layer before doing broad reading.

Core workflow

  1. Scan known knowledge sources and classify them by role.
  2. Infer the query intent: rule, fact, method, evidence, or improvement.
  3. Recommend primary and secondary sources.
  4. Emit promotion hints when knowledge seems mature enough to move upward into a more durable layer.

Read references as needed

  • Read references/source-types.md for the knowledge source model.
  • Read references/routing-rules.md for intent-to-source routing rules.
  • Read references/promotion-rules.md for when knowledge should be promoted or extracted.
  • Read references/report-format.md for the report structure.
  • Read references/release-minimal.md before packaging or publishing so the first public surface stays minimal.

Use scripts as needed

  • Use scripts/knowledge_router.py "<query>" [--scope ...] [--output report.txt] to build a routing report.

Operating rules

  • Prefer routing over re-storing knowledge.
  • Prefer a small number of clearly justified sources over broad search noise.
  • Treat audit logs as evidence, not as the first answer source for general method questions.
  • Keep the first version focused on source typing, query intent, and recommendation quality.