# Send OpenClaw Model Manager to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "model-manager",
    "name": "OpenClaw Model Manager",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/Notestone/model-manager",
    "canonicalUrl": "https://clawhub.ai/Notestone/model-manager",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/model-manager",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=model-manager",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "consolidate_memory.py",
      "manage_models.py",
      "run.sh",
      "README.md",
      "smart_find.py",
      "prompts.json"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "model-manager",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-02T22:02:51.681Z",
      "expiresAt": "2026-05-09T22:02:51.681Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=model-manager",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=model-manager",
        "contentDisposition": "attachment; filename=\"model-manager-1.5.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "model-manager"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/model-manager"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/model-manager",
    "downloadUrl": "https://openagent3.xyz/downloads/model-manager",
    "agentUrl": "https://openagent3.xyz/skills/model-manager/agent",
    "manifestUrl": "https://openagent3.xyz/skills/model-manager/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/model-manager/agent.md"
  }
}
```
## Documentation

### OpenClaw Model Manager v1.5 🛠️

💰 Optimize Your API Costs: Route Simple Tasks to Cheaper Models.

Why pay $15/1M tokens for simple translations or summaries when you can pay $0.60/1M? That's a 25x price difference (96% savings) for suitable tasks.

🆕 NEW in v1.5:

Enhanced Integration with model-benchmarks for real-time AI intelligence
Improved Cost Calculations with latest pricing data
Better Task Classification with expanded routing patterns
Stability Improvements and bug fixes

### 🚀 Quick Start

# List models with real-time pricing
python3 skills/model-manager/manage_models.py list

# Get routing recommendations  
python3 skills/model-manager/manage_models.py plan "write a Python script"

# Configure OpenClaw for cost optimization
python3 skills/model-manager/manage_models.py enable cheap

### 🇨🇳 中文说明

💰 拒绝冤枉钱！自动路由高性价比模型，最高节省 96% Token 费用。

🆕 v1.5 新功能：

智能数据源整合 — 配合 model-benchmarks 技能获取实时 AI 能力评测
精准成本计算 — 基于最新价格数据的成本估算
增强任务识别 — 更准确的任务类型分类和模型推荐
稳定性提升 — 修复已知问题，提升运行可靠性

这个 Skill 能帮你：

即时比价：列出当前 OpenRouter 上的模型价格
智能配置：自动将简单任务路由给高性价比的小模型（如 GPT-4o-mini）
🆕 数据驱动推荐：结合 AI benchmark 数据提供最优模型建议
🧠 自我进化 (Self-Healing)：如果便宜模型经常失败，系统会自动切换到更稳定的模型

### 1️⃣ list - Real-Time Model Pricing

python3 manage_models.py list

Fetches current OpenRouter pricing and displays cost-effective options.

### 2️⃣ plan - Smart Task Routing

python3 manage_models.py plan "translate this to French"
python3 manage_models.py plan "debug this Python error: TypeError..."
python3 manage_models.py plan "design a database schema"

NEW in v1.5: Enhanced task classification with better accuracy for:

🔧 Technical tasks (coding, debugging, system design)
📝 Content tasks (writing, translation, summarization)
🧠 Analysis tasks (data analysis, reasoning, research)

### 3️⃣ enable - Auto-Configuration

python3 manage_models.py enable cheap    # Maximum cost savings
python3 manage_models.py enable balanced # Quality/cost balance
python3 manage_models.py enable quality  # Best performance

### 4️⃣ benchmark - Performance Analysis (NEW v1.5)

python3 manage_models.py benchmark --task coding

Integrates with model-benchmarks skill for data-driven recommendations.

### 💡 Integration with Model Benchmarks

Perfect Combo: Use Model Manager + Model Benchmarks together for maximum optimization:

# 1. Install both skills
openclaw skills install model-manager
openclaw skills install model-benchmarks

# 2. Get real-time AI intelligence
python3 skills/model-benchmarks/scripts/run.py fetch

# 3. Apply intelligent routing
python3 skills/model-manager/manage_models.py plan "your task" --use-benchmarks

Result: Up to 95% cost reduction with maintained or improved quality!

### 🎯 Task Classification Engine

Enhanced in v1.5 with better pattern recognition:

Task TypeOptimal ModelsCost SavingsUse CasesSimpleGPT-4o-mini, Gemini Flash85-96%Translation, summarization, Q&ACodingGPT-4o, Claude 3.5 Sonnet45-75%Programming, debugging, code reviewCreativeClaude 3.5 Sonnet, GPT-4o25-55%Writing, brainstorming, content creationComplexClaude 3.5 Sonnet, GPT-415-35%Architecture, research, complex analysis

### 📊 Real-World Results

User Reports (v1.5):

🏢 Startup Dev Team: 78% cost reduction using intelligent routing
📝 Content Agency: 65% savings with task-specific model selection
🔬 Research Lab: 45% efficiency gain with benchmark-driven choices

### ✅ New Features

Benchmark Integration — Real-time capability data from multiple sources
Enhanced Task Patterns — Better classification accuracy
Cost Trend Analysis — Track pricing changes over time
Performance Monitoring — Success rate tracking per model

### 🐛 Bug Fixes

Fixed OpenRouter API timeout issues
Improved error handling for network failures
Better handling of model availability changes
Resolved config file corruption edge cases

### ⚡ Performance Improvements

40% faster model listing with caching
Reduced memory usage for large model datasets
Optimized routing decision algorithms

### Custom Routing Rules

# Create custom routing in ~/.openclaw/model-routing.json
{
  "patterns": {
    "translation": ["gemini-2.0-flash", "gpt-4o-mini"],
    "coding": ["claude-3.5-sonnet", "gpt-4o"],
    "analysis": ["gpt-4o", "claude-3.5-sonnet"]
  },
  "fallbacks": ["gpt-4o-mini"],
  "budget_limit": 50.00
}

### Cost Monitoring

# Set up cost alerts
python3 manage_models.py monitor --budget 100 --alert-at 80%

### Performance Analytics

# Generate routing report
python3 manage_models.py report --days 30 --export csv

### v1.6 (Coming Soon)

Predictive Routing — Learn from usage patterns
Multi-Provider Support — Direct API integration beyond OpenRouter
Custom Benchmarks — Domain-specific performance testing

### v2.0 (Future)

Distributed Routing — Cross-agent coordination
Real-Time Adaptation — Dynamic model switching based on performance
Advanced Analytics — Comprehensive cost and quality insights

### 🤝 Community

GitHub: openclaw-model-manager
Issues: Report bugs and request features
Discord: Join #model-optimization channel
Companion: Use with model-benchmarks for best results

Pro Tip: Combine this skill with automated routing via openrouter/auto for hands-off cost optimization!

Make every token count — route smart, save big! 🛠️
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: Notestone
- Version: 1.5.0
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-05-02T22:02:51.681Z
- Expires at: 2026-05-09T22:02:51.681Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/model-manager)
- [Send to Agent page](https://openagent3.xyz/skills/model-manager/agent)
- [JSON manifest](https://openagent3.xyz/skills/model-manager/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/model-manager/agent.md)
- [Download page](https://openagent3.xyz/downloads/model-manager)