Token导航 LogoToken导航TokenDH.com
研究检索需要联网clawhub未标认证来源可访问clear审计通过

agent-harnessAgent 线束

Agent Skill

agent-harness 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

4,770

周安装

192

GitHub Stars

公开资料未说明

下载量

1,521
OpenClaw

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-0

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:agent-harness(Agent 线束)
来源仓库:https://github.com/neltharion11/agent-harness
安装命令:
openclaw skills install agent-harness
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install agent-harness

简介

提供统一的思维框架和工作流程管理入口。agent-harness 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 支持研究、计划、设计等核心认知模式触发。
  • 适用于需要结构化思考过程的代理任务场景。
  • 通过 clawhub 安装,集成到 OpenClaw 宿主环境。
  • 建议根据任务类型选择合适的思维模式组合。

SKILL.md

name
agent-harness
description
|

Agent Harness

One-line summary: First decide "what combination to use", then execute layer by layer. Core Relationship: `` Decision Tree → Choose "Pipeline + which WORKFLOWS" Pipeline = Execution Framework (universal) WORKFLOWS = Work Content (specific) ``

⚠️ Pre-Execution Check (Must Confirm Each Item)

When receiving a task, first answer these questions:

1. [ ] What is the core task? (multi-step / single-step)
2. [ ] Is the requirement clear? (clear → next / unclear → load 06-INVERSION.md)
3. [ ] Does it need multi-step execution? (yes → Pipeline + other)
4. [ ] What is the specific content? (corresponds to which WORKFLOWS)

Response Format:

[Pre-Execution Check]
Q1: xxx → Conclusion
Q2: xxx → Conclusion
...
Final Decision: Pipeline + WORKFLOWS/{name}
Or: Final Decision: Inversion (standalone mode)

Layer Relationship Diagram

┌─────────────────────────────────────────────────────────────┐
│                   Layer Execution Order                       │
│                                                               │
│  Step 1 ──→ Step 2 ──→ Step 3 ──→ Step 4 ──→ Step 5      │
│     │           │           │           │           │        │
│     ▼           ▼           ▼           ▼           ▼        │
│  ┌────────┐ ┌────────┐ ┌────────┐ ┌────────┐ ┌────────┐     │
│  │Decision│→│Pipeline │→│WORKFLOW│→│Template│→│Quality │     │
│  │01-     │ │02-      │ │03-     │ │04-     │ │05-     │     │
│  │DECISION│ │PIPELINE │ │WORKFLOWS│ │TEMPLATE│ │QUALITY │     │
│  └────────┘ └────────┘ └────────┘ └────────┘ └────────┘     │
│                                                               │
│  Decision Tree decides "which combination",                  │
│  Pipeline decides "universal execution flow",                │
│  WORKFLOWS decides "specific work content"                   │
└─────────────────────────────────────────────────────────────┘

Analogy

🍳 Cooking Scenario:
- Decision Tree = Customer orders ("spicy today")
- Pipeline = Cooking method (heat pan first, no matter what)
- WORKFLOWS = Specific recipe (how to make fish-flavored pork)
- Template = Plating style (how to arrange the plate)

💻 Software Scenario:
- Decision Tree = Task classification ("this is a research task")
- Pipeline = Execution flow (decompose first, no matter the research)
- WORKFLOWS = Research method (4-step method)
- Template = Report format (title-abstract-body-conclusion)

Execution Flow

Step 1 — Decision (Load 01-DECISION.md)

[Step 1] Read references/01-DECISION.md
         Decide: Pipeline + which WORKFLOWS

Common Combinations:
- Pipeline + research    → Research tasks
- Pipeline + subagent    → Coordination tasks
- Pipeline + context     → Compression tasks
- Pipeline + analysis    → Analysis tasks

Step 2 — Execution Framework (Load 02-PIPELINE.md)

[Step 2] Read references/02-PIPELINE.md
         Understand: Universal 4-step execution flow

Pipeline Steps:
Step 1: Plan
Step 2: Execute
Step 3: Summarize
Step 4: Check

Step 3 — Specific Content (Load 03-WORKFLOWS/{name}.md)

[Step 3] Read references/03-WORKFLOWS/{corresponding workflow}.md
         Execute: Specific work content

research = 4-step research (decompose→research→synthesize→report)
subagent = 4-step coordination (analyze→decompose→parallel→merge)
context  = 4-step compression (assess→strategy→execute→verify)
analysis = 4-step analysis (decompose→collect→compare→conclude)

Step 4 — Output Template (Load 04-TEMPLATES/{name}.md)

[Step 4] Read references/04-TEMPLATES/{corresponding template}.md
         Generate: Structured final output

Step 5 — Quality Check (Load 05-QUALITY.md)

[Step 5] Read references/05-QUALITY.md
         Verify: Output quality meets standards

Quick Reference: Common Combinations

Task TypeCombinationDescription
📝 Deep Research ReportPipeline + researchMulti-step research flow
🤖 Multi-Agent CoordinationPipeline + subagentDecompose+parallel+merge
📦 Long-Task CompressionPipeline + contextContext management strategy
⚖️ Competitive AnalysisPipeline + analysisMulti-dimensional comparison
❓ Unclear RequirementsInversion (standalone)Gather requirements first

Forbidden Behaviors

  • Skip Steps: Go to Step 3 without completing Step 1
  • Mix Layers: Treat Pipeline and WORKFLOWS as the same thing
  • Missing Template: Output content but format is chaotic
  • Missing Check: End without quality verification

Completion Flag

[agent-harness execution complete]
✓ Steps 1-5 completed
✓ Combination: Pipeline + WORKFLOWS/{name}
✓ Forbidden behaviors check: Passed

File Index

FileRoleLoad Time
SKILL.mdEntry + Layer DescriptionOn trigger
references/01-DECISION.mdDecision TreeStep 1
references/02-PIPELINE.mdExecution FrameworkStep 2
references/03-WORKFLOWS/research.mdResearch ContentStep 3
references/03-WORKFLOWS/subagent.mdCoordination ContentStep 3
references/03-WORKFLOWS/context.mdCompression ContentStep 3
references/03-WORKFLOWS/analysis.mdAnalysis ContentStep 3
references/04-TEMPLATES/research-report.mdResearch TemplateStep 4
references/04-TEMPLATES/analysis-report.mdAnalysis TemplateStep 4
references/06-INVERSION.mdRequirements ClarificationWhen unclear
references/05-QUALITY.mdQuality CheckPipeline Step 4

_Last updated: 2026-04-07 by neltharion11 | https://github.com/neltharion11/skill-agent-harness_

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

能力 5

展示第三方安全扫描或审计结果

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

OpenClaw

83.96%
按下载量换算1,277

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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

继续浏览同类 Skills