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grounding-router接地路由器

Agent Skill

grounding-router 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

339

周安装

14

GitHub Stars

公开资料未说明

下载量

111
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:grounding-router(接地路由器)
来源仓库:https://github.com/zpankz/mcp-skillset
仓库路径:skills/grounding-router
安装命令:
npx skills add zpankz/mcp-skillset --skill "grounding-router"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add zpankz/mcp-skillset --skill "grounding-router"

简介

grounding-router 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位结果。
  • 通过 github 安装,命令为 npx skills add zpankz/mcp-skillset --skill "grounding-router"。
  • 建议确认权限范围和维护状态,注意是否触发联网或文件读写。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
grounding-router
description
|
Integrates
limitless, research, pieces, pdf-search, pdf-brain CLIs.

Grounding Router

Version: 3.0.0 Architecture: atomic-permutation-router Trigger Keywords: grounding, saq, viva, textbook, pex, medical, citations, synthesis, sc:grounding

Progressive Loading:

  • Level 0: Frontmatter (~100 tokens) - trigger detection only
  • Level 1: Core SKILL.md (~2500 tokens) - primitives + routing
  • Level 2: references/*.md - on-demand deep specifications
  • Level 3: scripts/*.py - execute without loading context

Integrations:

  • Skills: dialectical, critique, mega, textbook-grounding, saq, qp
  • CLIs: limitless, research, pieces, pdf-search, pdf-brain, pex
  • Commands: sc:grounding
  • Routers: context-router
λΩ.τ: Query(ο) → Atomic-Composition(λ) → Grounded-Response(τ)

Routes grounding requests through minimal atomic primitives for maximal emergent function.

Trigger Conditions

Activate when:

  • Explicit: /grounding, /saq, /viva, sc:grounding
  • Implicit: SAQ, VIVA, medical exam, textbook citations, PEX sources
  • Hook signal: need_grounding=true from intent detection

Routing Decision Tree

Request Received
    │
    ├── Mode Detection
    │   ├── "SAQ" or ~200 words → SAQ Mode
    │   ├── "VIVA" or examiner → VIVA Mode
    │   ├── "academic" or paper → Academic Mode
    │   └── Default → SAQ Mode
    │
    ├── Composition Selection
    │   ├── SAQ: (Σ ⊗ Τ) ∘ Δ ∘ Ρₛ
    │   ├── VIVA: Σ* ∘ (Τ ⊗ Δ) ∘ Ρᵥ*
    │   └── Academic: Σ* ∘ Τ* ∘ Δ* ∘ Ρₐ
    │
    └── Pipeline Execution
        ├── G₀: Preflight (CLI health)
        ├── Σ: Source extraction
        ├── Τ: Textbook grounding
        ├── Δ: Dialectical synthesis
        ├── G₄: Hallucination check
        └── Ρ: Response generation

The Four Atomic Primitives

SymbolNameλο.τ FormCLI Sources
ΣSOURCEContext(ο) → Extraction(λ) → Evidence(τ)limitless, pieces, pdf-search, research
ΤTEXTBOOKEvidence(ο) → Grounding(λ) → Citation(τ)pdf-search, pdf-brain
ΔDIALECTICALClaims(ο) → Synthesis(λ) → Universal(τ)Thesis→Antithesis→Synthesis
ΡRESPONSESynthesis(ο) → Formatting(λ) → Output(τ)SAQ/VIVA/Academic modes

Composition Operators

OperatorNotationFunctionPattern
SequentialApply in orderΣ ∘ Τ (extract then ground)
ParallelConcurrentΣₚ ⊗ Σₜ (parallel sources)
Recursive*Until convergenceΔ* (resolve all antitheses)
Conditional\Activate on condition`Σ \has_cache`

Source Sub-Primitives (Σ)

SymbolCLITriggersOutput
Σₚlimitlesspersonal, lifelog, recallpersonal_context[]
Σₗpiecesltm, snippet, historylocal_context[]
Σₜpdf-searchtextbook, book, pagetextbook_chunks[]
Σₐresearchpex, guidelines, evidenceauthoritative_sources[]
Σₚₑₓpexexam, lo, saq, curriculumexam_context[]

CLI Commands

# Σₚ — Personal Context
limitless lifelogs search "{topic}" --limit 10 --json

# Σₗ — Local Context
echo "" | pieces ask "{topic}" --ltm

# Σₜ — Textbook Context
pdf-search "{topic}" --limit 10 --tags {tags}
pdf-brain search "{topic}" --limit 10

# Σₐ — Authoritative Context
research pex-grounding -t "{topic}" --specialty {specialty} --format json

# Σₚₑₓ — PEX Exam Context
pex search "{topic}" --limit 10
pex prereq "LO:{id}" --model fast
pex path "{topic}" --max 10

Mode Compositions

SAQ Mode: (Σ ⊗ Τ) ∘ Δ ∘ Ρₛ

Parallel source + textbook → Sequential synthesis → SAQ output
Word count: 180-220 | Citations: 5-10 | Tables: max 1

VIVA Mode: Σ* ∘ (Τ ⊗ Δ) ∘ Ρᵥ*

Recursive sources → Parallel ground+synthesize → Recursive expand
Word count: 500-800 | Citations: 15-25 | Examiner probes: 3-5

Academic Mode: Σ* ∘ Τ* ∘ Δ* ∘ Ρₐ

All recursive → Maximum depth → Full scholarly
Word count: 1000-2000 | Citations: 30-50 | Full bibliography

Quality Gates

GateCheckPass Criteria
G₀Preflight≥3/5 CLIs available
G₁Sources≥2 sources, ≥2 types
G₂Textbook≥50% claims grounded
G₃SynthesisAll theses subsumed
G₄Hallucination<20% flagged claims
G₅OutputWord count compliant

Confidence Calculation

confidence = (
    0.30 * source_authority +
    0.25 * textbook_coverage +
    0.20 * synthesis_parsimony +
    0.15 * citation_density +
    0.10 * hallucination_pass_rate
)
ConfidenceAction
≥ 0.85Emit response
0.70-0.84Warn, emit
0.50-0.69Load references/, retry
< 0.50Execute scripts/, escalate

Progressive Loading Protocol

Level 0: Trigger (Always Active)

  • Frontmatter triggers in hook
  • ~100 tokens loaded

Level 1: Core (On Trigger Match)

  • This SKILL.md body
  • Routing + primitive specs

Level 2: References (On Demand)

Load when confidence < 0.7 or customization needed:

  • references/atomic-primitives.md — Full sub-primitive specs
  • references/composition-patterns.md — Advanced compositions
  • references/quality-gates.md — Detailed validation
  • references/cli-integration.md — CLI command patterns

Level 3: Scripts (Execute Only)

Invoke without loading context:

  • scripts/preflight.py --format json — CLI health
  • scripts/extract.py "{query}" — Parallel extraction
  • scripts/validate.py -r response.md — Hallucination check

Integration Points

Context Router Handoff

when: Σ primitives activated
action: Delegate to context-router for CLI orchestration
return: Aggregated sources to Τ primitive

Skill Integration

dialectical: Δ uses dialectical.atomic-composition
critique: G₄ uses critique.multi-lens
saq: Ρₛ uses saq.template
mega: Δ* escalates to mega when depth > 3

Command Integration

sc:grounding:
  invokes: grounding-router with mode detection
  flags: --mode, --sources, --specialty

Example Invocations

Basic SAQ

/grounding "Describe labetalol pharmacology" --mode=saq

Composition: (Σₗ ⊗ Σₜ ⊗ Σₐ) ∘ Δ ∘ Ρₛ
Output: 195-word SAQ with 7 citations
Confidence: 0.89

Extended VIVA

/grounding "Pre-eclampsia management" --mode=viva --sources=all

Composition: Σ* ∘ (Τ ⊗ Δ*) ∘ Ρᵥ*
Output: 650-word VIVA with 22 citations + 5 probes
Confidence: 0.92

Anti-Patterns

PatternWhy HarmfulFix
Σ without ΤUngrounded claimsAlways include Τ
Δ without ΣₜNo textbook basisRequire textbook source
Ρ without ΔNo synthesisDialectical before response
Skip G₄Hallucination riskAlways validate

Recursion: grounding-router(grounding-router) → meta-grounding for skill improvement.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenCode

27.82%
按下载量换算31

Claude Code

25.23%
按下载量换算28

windsurf

18.56%
按下载量换算21

Codex

12.37%
按下载量换算14

kiro-cli

7.41%
按下载量换算8

mcpjam

3.49%
按下载量换算4

安全审计

暂无安全审计结果可展示。

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add zpankz/mcp-skillset --skill "grounding-router" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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