Agent Harness

👤 neltharion11 📦 v1.8.0 ⭐ 4.3 ⬇️ 881 下載
🤖 AI-Agent 免費

📖 技能介紹


name: agent-harness description: | Agent Work Framework. Unified entry thinking framework + workflow Skill.

Trigger Words (Thinking Modes): research, plan, design, think, pattern, process, step, review, score, analyze, evaluate, compare, survey, solution, feasibility, summary, deep research, research report, task decomposition, multi-agent, parallel execution, context compression, long-task planning


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

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┌─────────────────────────────────────────────────────────────┐
│                   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 Type Combination Description
📝 Deep Research Report Pipeline + research Multi-step research flow
🤖 Multi-Agent Coordination Pipeline + subagent Decompose+parallel+merge
📦 Long-Task Compression Pipeline + context Context management strategy
⚖️ Competitive Analysis Pipeline + analysis Multi-dimensional comparison
❓ Unclear Requirements Inversion (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

File Role Load Time
SKILL.md Entry + Layer Description On trigger
references/01-DECISION.md Decision Tree Step 1
references/02-PIPELINE.md Execution Framework Step 2
references/03-WORKFLOWS/research.md Research Content Step 3
references/03-WORKFLOWS/subagent.md Coordination Content Step 3
references/03-WORKFLOWS/context.md Compression Content Step 3
references/03-WORKFLOWS/analysis.md Analysis Content Step 3
references/04-TEMPLATES/research-report.md Research Template Step 4
references/04-TEMPLATES/analysis-report.md Analysis Template Step 4
references/06-INVERSION.md Requirements Clarification When unclear
references/05-QUALITY.md Quality Check Pipeline Step 4

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

🤖 AI 評測

這個 Skill 質量中上,架構設計清晰,學習成本低,能有效規範 Agent 的思考和執行流程,質量檢查機制也較為完善。但文件存在重複內容,英文夾雜使用影響閱讀體驗,且支援的任務型別偏少,適用範圍有限。如果能解決這些問題會更實用。

📊 多維度評分

適應性4.3
規範性4.4
有效性4.4
可靠性3.8
可信度4.5

📁 包含檔案 (21 個)

📄 README.md 728 B
📄 SKILL.md 6.8 KB
📄 _meta.json 132 B
📄 assets/analysis-report.md 1.8 KB
📄 assets/case-study-1-research.md 3.2 KB
📄 assets/case-study-2-subagent.md 3.8 KB
📄 assets/research-report.md 1.8 KB
📄 references/01-DECISION.md 1.6 KB
📄 references/02-PIPELINE.md 2.4 KB
📄 references/03-WORKFLOWS/analysis.md 2.5 KB
📄 references/03-WORKFLOWS/context.md 2 KB
📄 references/03-WORKFLOWS/research.md 2.8 KB
📄 references/03-WORKFLOWS/subagent.md 5.6 KB
📄 references/04-TEMPLATES/analysis-report.md 975 B
📄 references/04-TEMPLATES/research-report.md 705 B
📄 references/05-QUALITY.md 2 KB
📄 references/06-INVERSION.md 2.3 KB
📄 references/analysis.md 2.5 KB
📄 references/context.md 2 KB
📄 references/research.md 2.8 KB
📄 references/subagent.md 5.6 KB