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openclaw - 💡(How to fix) Fix [Feature Request] Add Skill/Tool Execution Hooks for Evolution Engine Integration [1 participants]

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openclaw/openclaw#56885•Fetched 2026-04-08 01:46:27
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OpenClaw provides agent-level hooks (before_agent_start, agent_end) but lacks granular hooks for individual Skill and tool executions. This blocks integration of self-improving AI systems that need real-time execution tracking.

Error Message

"tool_error" // On tool error "tool_error" // On tool error "tool_error" // On tool error "tool_error" // On tool error "tool_error" // On tool error "tool_error" // On tool error

Root Cause

Without HooksWith Hooks
Manual log parsingReal-time tracking
No auto-improvementAUTO-FIX on failure
Brittle integrationsClean plugin API
Can't detect degradationDetect degradation early

Fix Action

Fix / Workaround

Current workaround: Parsing gateway.log files — brittle, delayed, incomplete.

Current workaround: Parsing gateway.log files — brittle, delayed, incomplete.

Current workaround: Parsing gateway.log files — brittle, delayed, incomplete.

Code Example

[Feature Request] Add Skill/Tool Execution Hooks for Evolution Engine Integration

---

## Summary

OpenClaw provides agent-level hooks (`before_agent_start`, `agent_end`) but lacks **granular hooks for individual Skill and tool executions**. This blocks integration of self-improving AI systems that need real-time execution tracking.

## Problem

Currently, evolution engines (like OpenSpace/HKUDS) cannot:
- Track when a specific Skill executes, succeeds, or fails
- Monitor tool call latency and errors per Skill  
- Trigger automatic improvements based on execution patterns

**Current workaround**: Parsing gateway.log files — brittle, delayed, incomplete.

## Proposed Solution

Add skill/tool-level hooks:

### 1. Skill Execution Hooks

---

### 2. Tool Call Hooks

---

### 3. Plugin Registration

---

## Why This Matters

| Without Hooks | With Hooks |
|--------------|------------|
| Manual log parsing | Real-time tracking |
| No auto-improvement | AUTO-FIX on failure |
| Brittle integrations | Clean plugin API |
| Can't detect degradation | Detect degradation early |

## Example Use Case

An evolution engine plugin could:
1. Hook into `before_tool_call` to tag execution context
2. Hook into `after_tool_call` to record latency
3. Hook into `tool_error` to trigger automatic repair
4. Aggregate data to recommend Skill improvements

---

**Labels:** `hook`, `plugin`, `skill`, `api`

---

[Feature Request] Add Skill/Tool Execution Hooks for Evolution Engine Integration

---

## Summary

OpenClaw provides agent-level hooks (`before_agent_start`, `agent_end`) but lacks **granular hooks for individual Skill and tool executions**. This blocks integration of self-improving AI systems that need real-time execution tracking.

## Problem

Currently, evolution engines (like OpenSpace/HKUDS) cannot:
- Track when a specific Skill executes, succeeds, or fails
- Monitor tool call latency and errors per Skill  
- Trigger automatic improvements based on execution patterns

**Current workaround**: Parsing gateway.log files — brittle, delayed, incomplete.

## Proposed Solution

Add skill/tool-level hooks:

### 1. Skill Execution Hooks

---

### 2. Tool Call Hooks

---

### 3. Plugin Registration

---

## Why This Matters

| Without Hooks | With Hooks |
|--------------|------------|
| Manual log parsing | Real-time tracking |
| No auto-improvement | AUTO-FIX on failure |
| Brittle integrations | Clean plugin API |
| Can't detect degradation | Detect degradation early |

## Example Use Case

An evolution engine plugin could:
1. Hook into `before_tool_call` to tag execution context
2. Hook into `after_tool_call` to record latency
3. Hook into `tool_error` to trigger automatic repair
4. Aggregate data to recommend Skill improvements

---

**Labels:** `hook`, `plugin`, `skill`, `api`

---

[Feature Request] Add Skill/Tool Execution Hooks for Evolution Engine Integration

---

## Summary

OpenClaw provides agent-level hooks (`before_agent_start`, `agent_end`) but lacks **granular hooks for individual Skill and tool executions**. This blocks integration of self-improving AI systems that need real-time execution tracking.

## Problem

Currently, evolution engines (like OpenSpace/HKUDS) cannot:
- Track when a specific Skill executes, succeeds, or fails
- Monitor tool call latency and errors per Skill  
- Trigger automatic improvements based on execution patterns

**Current workaround**: Parsing gateway.log files — brittle, delayed, incomplete.

## Proposed Solution

Add skill/tool-level hooks:

### 1. Skill Execution Hooks

---

### 2. Tool Call Hooks

---

### 3. Plugin Registration

---

## Why This Matters

| Without Hooks | With Hooks |
|--------------|------------|
| Manual log parsing | Real-time tracking |
| No auto-improvement | AUTO-FIX on failure |
| Brittle integrations | Clean plugin API |
| Can't detect degradation | Detect degradation early |

## Example Use Case

An evolution engine plugin could:
1. Hook into `before_tool_call` to tag execution context
2. Hook into `after_tool_call` to record latency
3. Hook into `tool_error` to trigger automatic repair
4. Aggregate data to recommend Skill improvements

---

**Labels:** `hook`, `plugin`, `skill`, `api`

---

[Feature Request] Add Skill/Tool Execution Hooks for Evolution Engine Integration

---

## Summary

OpenClaw provides agent-level hooks (`before_agent_start`, `agent_end`) but lacks **granular hooks for individual Skill and tool executions**. This blocks integration of self-improving AI systems that need real-time execution tracking.

## Problem

Currently, evolution engines (like OpenSpace/HKUDS) cannot:
- Track when a specific Skill executes, succeeds, or fails
- Monitor tool call latency and errors per Skill  
- Trigger automatic improvements based on execution patterns

**Current workaround**: Parsing gateway.log files — brittle, delayed, incomplete.

## Proposed Solution

Add skill/tool-level hooks:

### 1. Skill Execution Hooks

---

### 2. Tool Call Hooks

---

### 3. Plugin Registration

---

## Why This Matters

| Without Hooks | With Hooks |
|--------------|------------|
| Manual log parsing | Real-time tracking |
| No auto-improvement | AUTO-FIX on failure |
| Brittle integrations | Clean plugin API |
| Can't detect degradation | Detect degradation early |

## Example Use Case

An evolution engine plugin could:
1. Hook into `before_tool_call` to tag execution context
2. Hook into `after_tool_call` to record latency
3. Hook into `tool_error` to trigger automatic repair
4. Aggregate data to recommend Skill improvements

---

**Labels:** `hook`, `plugin`, `skill`, `api`

---

[Feature Request] Add Skill/Tool Execution Hooks for Evolution Engine Integration

---

## Summary

OpenClaw provides agent-level hooks (`before_agent_start`, `agent_end`) but lacks **granular hooks for individual Skill and tool executions**. This blocks integration of self-improving AI systems that need real-time execution tracking.

## Problem

Currently, evolution engines (like OpenSpace/HKUDS) cannot:
- Track when a specific Skill executes, succeeds, or fails
- Monitor tool call latency and errors per Skill  
- Trigger automatic improvements based on execution patterns

**Current workaround**: Parsing gateway.log files — brittle, delayed, incomplete.

## Proposed Solution

Add skill/tool-level hooks:

### 1. Skill Execution Hooks

---

### 2. Tool Call Hooks

---

### 3. Plugin Registration

---

## Why This Matters

| Without Hooks | With Hooks |
|--------------|------------|
| Manual log parsing | Real-time tracking |
| No auto-improvement | AUTO-FIX on failure |
| Brittle integrations | Clean plugin API |
| Can't detect degradation | Detect degradation early |

## Example Use Case

An evolution engine plugin could:
1. Hook into `before_tool_call` to tag execution context
2. Hook into `after_tool_call` to record latency
3. Hook into `tool_error` to trigger automatic repair
4. Aggregate data to recommend Skill improvements

---

**Labels:** `hook`, `plugin`, `skill`, `api`

---

[Feature Request] Add Skill/Tool Execution Hooks for Evolution Engine Integration

---

## Summary

OpenClaw provides agent-level hooks (`before_agent_start`, `agent_end`) but lacks **granular hooks for individual Skill and tool executions**. This blocks integration of self-improving AI systems that need real-time execution tracking.

## Problem

Currently, evolution engines (like OpenSpace/HKUDS) cannot:
- Track when a specific Skill executes, succeeds, or fails
- Monitor tool call latency and errors per Skill  
- Trigger automatic improvements based on execution patterns

**Current workaround**: Parsing gateway.log files — brittle, delayed, incomplete.

## Proposed Solution

Add skill/tool-level hooks:

### 1. Skill Execution Hooks

---

### 2. Tool Call Hooks

---

### 3. Plugin Registration

---

## Why This Matters

| Without Hooks | With Hooks |
|--------------|------------|
| Manual log parsing | Real-time tracking |
| No auto-improvement | AUTO-FIX on failure |
| Brittle integrations | Clean plugin API |
| Can't detect degradation | Detect degradation early |

## Example Use Case

An evolution engine plugin could:
1. Hook into `before_tool_call` to tag execution context
2. Hook into `after_tool_call` to record latency
3. Hook into `tool_error` to trigger automatic repair
4. Aggregate data to recommend Skill improvements

---

**Labels:** `hook`, `plugin`, `skill`, `api`
RAW_BUFFERClick to expand / collapse

Summary

这是可以直接复制粘贴到GitHub的Issue内容：

📋 复制以下内容到 GitHub

标题：

[Feature Request] Add Skill/Tool Execution Hooks for Evolution Engine Integration

正文：

## Summary

OpenClaw provides agent-level hooks (`before_agent_start`, `agent_end`) but lacks **granular hooks for individual Skill and tool executions**. This blocks integration of self-improving AI systems that need real-time execution tracking.

## Problem

Currently, evolution engines (like OpenSpace/HKUDS) cannot:
- Track when a specific Skill executes, succeeds, or fails
- Monitor tool call latency and errors per Skill  
- Trigger automatic improvements based on execution patterns

**Current workaround**: Parsing gateway.log files — brittle, delayed, incomplete.

## Proposed Solution

Add skill/tool-level hooks:

### 1. Skill Execution Hooks
```typescript
"before_skill_execute"  // Before a Skill runs
"after_skill_execute"   // After a Skill completes
"skill_error"           // When a Skill throws

2. Tool Call Hooks

"before_tool_call"      // Before exec/read/write/etc.
"after_tool_call"       // After tool completes
"tool_error"            // On tool error

3. Plugin Registration

api.registerHook({
  events: ['before_tool_call', 'after_tool_call'],
  handler: async (event) => {
    // Log to external system, trigger auto-fix, etc.
  }
});

Why This Matters

Without HooksWith Hooks
Manual log parsingReal-time tracking
No auto-improvementAUTO-FIX on failure
Brittle integrationsClean plugin API
Can't detect degradationDetect degradation early

Example Use Case

An evolution engine plugin could:

  1. Hook into before_tool_call to tag execution context
  2. Hook into after_tool_call to record latency
  3. Hook into tool_error to trigger automatic repair
  4. Aggregate data to recommend Skill improvements

Labels: hook, plugin, skill, api


---

## 🚀 提交步骤

1. 打开：**https://github.com/openclaw/openclaw/issues/new/choose**
2. 点击 **"Feature request"** 卡片
3. 标题填：`[Feature Request] Add Skill/Tool Execution Hooks for Evolution Engine Integration`
4. 描述复制上面的正文
5. Labels 选择：`hook`, `plugin`, `skill`, `api`
6. 点击 **Submit**

---

**要我帮你打开GitHub吗？** 或者你想先看看其他选项？

### Problem to solve

这是可以直接复制粘贴到GitHub的Issue内容：

---

## 📋 复制以下内容到 GitHub

**标题：**

[Feature Request] Add Skill/Tool Execution Hooks for Evolution Engine Integration


**正文：**

Summary

OpenClaw provides agent-level hooks (before_agent_start, agent_end) but lacks granular hooks for individual Skill and tool executions. This blocks integration of self-improving AI systems that need real-time execution tracking.

Problem

Currently, evolution engines (like OpenSpace/HKUDS) cannot:

  • Track when a specific Skill executes, succeeds, or fails
  • Monitor tool call latency and errors per Skill
  • Trigger automatic improvements based on execution patterns

Current workaround: Parsing gateway.log files — brittle, delayed, incomplete.

Proposed Solution

Add skill/tool-level hooks:

1. Skill Execution Hooks

"before_skill_execute"  // Before a Skill runs
"after_skill_execute"   // After a Skill completes
"skill_error"           // When a Skill throws

2. Tool Call Hooks

"before_tool_call"      // Before exec/read/write/etc.
"after_tool_call"       // After tool completes
"tool_error"            // On tool error

3. Plugin Registration

api.registerHook({
  events: ['before_tool_call', 'after_tool_call'],
  handler: async (event) => {
    // Log to external system, trigger auto-fix, etc.
  }
});

Why This Matters

Without HooksWith Hooks
Manual log parsingReal-time tracking
No auto-improvementAUTO-FIX on failure
Brittle integrationsClean plugin API
Can't detect degradationDetect degradation early

Example Use Case

An evolution engine plugin could:

  1. Hook into before_tool_call to tag execution context
  2. Hook into after_tool_call to record latency
  3. Hook into tool_error to trigger automatic repair
  4. Aggregate data to recommend Skill improvements

Labels: hook, plugin, skill, api


---

## 🚀 提交步骤

1. 打开：**https://github.com/openclaw/openclaw/issues/new/choose**
2. 点击 **"Feature request"** 卡片
3. 标题填：`[Feature Request] Add Skill/Tool Execution Hooks for Evolution Engine Integration`
4. 描述复制上面的正文
5. Labels 选择：`hook`, `plugin`, `skill`, `api`
6. 点击 **Submit**

---

**要我帮你打开GitHub吗？** 或者你想先看看其他选项？

### Proposed solution

这是可以直接复制粘贴到GitHub的Issue内容：

---

## 📋 复制以下内容到 GitHub

**标题：**

[Feature Request] Add Skill/Tool Execution Hooks for Evolution Engine Integration


**正文：**

Summary

OpenClaw provides agent-level hooks (before_agent_start, agent_end) but lacks granular hooks for individual Skill and tool executions. This blocks integration of self-improving AI systems that need real-time execution tracking.

Problem

Currently, evolution engines (like OpenSpace/HKUDS) cannot:

  • Track when a specific Skill executes, succeeds, or fails
  • Monitor tool call latency and errors per Skill
  • Trigger automatic improvements based on execution patterns

Current workaround: Parsing gateway.log files — brittle, delayed, incomplete.

Proposed Solution

Add skill/tool-level hooks:

1. Skill Execution Hooks

"before_skill_execute"  // Before a Skill runs
"after_skill_execute"   // After a Skill completes
"skill_error"           // When a Skill throws

2. Tool Call Hooks

"before_tool_call"      // Before exec/read/write/etc.
"after_tool_call"       // After tool completes
"tool_error"            // On tool error

3. Plugin Registration

api.registerHook({
  events: ['before_tool_call', 'after_tool_call'],
  handler: async (event) => {
    // Log to external system, trigger auto-fix, etc.
  }
});

Why This Matters

Without HooksWith Hooks
Manual log parsingReal-time tracking
No auto-improvementAUTO-FIX on failure
Brittle integrationsClean plugin API
Can't detect degradationDetect degradation early

Example Use Case

An evolution engine plugin could:

  1. Hook into before_tool_call to tag execution context
  2. Hook into after_tool_call to record latency
  3. Hook into tool_error to trigger automatic repair
  4. Aggregate data to recommend Skill improvements

Labels: hook, plugin, skill, api


---

## 🚀 提交步骤

1. 打开：**https://github.com/openclaw/openclaw/issues/new/choose**
2. 点击 **"Feature request"** 卡片
3. 标题填：`[Feature Request] Add Skill/Tool Execution Hooks for Evolution Engine Integration`
4. 描述复制上面的正文
5. Labels 选择：`hook`, `plugin`, `skill`, `api`
6. 点击 **Submit**

---

**要我帮你打开GitHub吗？** 或者你想先看看其他选项？

### Alternatives considered

这是可以直接复制粘贴到GitHub的Issue内容：

---

## 📋 复制以下内容到 GitHub

**标题：**

[Feature Request] Add Skill/Tool Execution Hooks for Evolution Engine Integration


**正文：**

Summary

OpenClaw provides agent-level hooks (before_agent_start, agent_end) but lacks granular hooks for individual Skill and tool executions. This blocks integration of self-improving AI systems that need real-time execution tracking.

Problem

Currently, evolution engines (like OpenSpace/HKUDS) cannot:

  • Track when a specific Skill executes, succeeds, or fails
  • Monitor tool call latency and errors per Skill
  • Trigger automatic improvements based on execution patterns

Current workaround: Parsing gateway.log files — brittle, delayed, incomplete.

Proposed Solution

Add skill/tool-level hooks:

1. Skill Execution Hooks

"before_skill_execute"  // Before a Skill runs
"after_skill_execute"   // After a Skill completes
"skill_error"           // When a Skill throws

2. Tool Call Hooks

"before_tool_call"      // Before exec/read/write/etc.
"after_tool_call"       // After tool completes
"tool_error"            // On tool error

3. Plugin Registration

api.registerHook({
  events: ['before_tool_call', 'after_tool_call'],
  handler: async (event) => {
    // Log to external system, trigger auto-fix, etc.
  }
});

Why This Matters

Without HooksWith Hooks
Manual log parsingReal-time tracking
No auto-improvementAUTO-FIX on failure
Brittle integrationsClean plugin API
Can't detect degradationDetect degradation early

Example Use Case

An evolution engine plugin could:

  1. Hook into before_tool_call to tag execution context
  2. Hook into after_tool_call to record latency
  3. Hook into tool_error to trigger automatic repair
  4. Aggregate data to recommend Skill improvements

Labels: hook, plugin, skill, api


---

## 🚀 提交步骤

1. 打开：**https://github.com/openclaw/openclaw/issues/new/choose**
2. 点击 **"Feature request"** 卡片
3. 标题填：`[Feature Request] Add Skill/Tool Execution Hooks for Evolution Engine Integration`
4. 描述复制上面的正文
5. Labels 选择：`hook`, `plugin`, `skill`, `api`
6. 点击 **Submit**

---

**要我帮你打开GitHub吗？** 或者你想先看看其他选项？

### Impact

这是可以直接复制粘贴到GitHub的Issue内容：

---

## 📋 复制以下内容到 GitHub

**标题：**

[Feature Request] Add Skill/Tool Execution Hooks for Evolution Engine Integration


**正文：**

Summary

OpenClaw provides agent-level hooks (before_agent_start, agent_end) but lacks granular hooks for individual Skill and tool executions. This blocks integration of self-improving AI systems that need real-time execution tracking.

Problem

Currently, evolution engines (like OpenSpace/HKUDS) cannot:

  • Track when a specific Skill executes, succeeds, or fails
  • Monitor tool call latency and errors per Skill
  • Trigger automatic improvements based on execution patterns

Current workaround: Parsing gateway.log files — brittle, delayed, incomplete.

Proposed Solution

Add skill/tool-level hooks:

1. Skill Execution Hooks

"before_skill_execute"  // Before a Skill runs
"after_skill_execute"   // After a Skill completes
"skill_error"           // When a Skill throws

2. Tool Call Hooks

"before_tool_call"      // Before exec/read/write/etc.
"after_tool_call"       // After tool completes
"tool_error"            // On tool error

3. Plugin Registration

api.registerHook({
  events: ['before_tool_call', 'after_tool_call'],
  handler: async (event) => {
    // Log to external system, trigger auto-fix, etc.
  }
});

Why This Matters

Without HooksWith Hooks
Manual log parsingReal-time tracking
No auto-improvementAUTO-FIX on failure
Brittle integrationsClean plugin API
Can't detect degradationDetect degradation early

Example Use Case

An evolution engine plugin could:

  1. Hook into before_tool_call to tag execution context
  2. Hook into after_tool_call to record latency
  3. Hook into tool_error to trigger automatic repair
  4. Aggregate data to recommend Skill improvements

Labels: hook, plugin, skill, api


---

## 🚀 提交步骤

1. 打开：**https://github.com/openclaw/openclaw/issues/new/choose**
2. 点击 **"Feature request"** 卡片
3. 标题填：`[Feature Request] Add Skill/Tool Execution Hooks for Evolution Engine Integration`
4. 描述复制上面的正文
5. Labels 选择：`hook`, `plugin`, `skill`, `api`
6. 点击 **Submit**

---

**要我帮你打开GitHub吗？** 或者你想先看看其他选项？

### Evidence/examples

这是可以直接复制粘贴到GitHub的Issue内容：

---

## 📋 复制以下内容到 GitHub

**标题：**

[Feature Request] Add Skill/Tool Execution Hooks for Evolution Engine Integration


**正文：**

Summary

OpenClaw provides agent-level hooks (before_agent_start, agent_end) but lacks granular hooks for individual Skill and tool executions. This blocks integration of self-improving AI systems that need real-time execution tracking.

Problem

Currently, evolution engines (like OpenSpace/HKUDS) cannot:

  • Track when a specific Skill executes, succeeds, or fails
  • Monitor tool call latency and errors per Skill
  • Trigger automatic improvements based on execution patterns

Current workaround: Parsing gateway.log files — brittle, delayed, incomplete.

Proposed Solution

Add skill/tool-level hooks:

1. Skill Execution Hooks

"before_skill_execute"  // Before a Skill runs
"after_skill_execute"   // After a Skill completes
"skill_error"           // When a Skill throws

2. Tool Call Hooks

"before_tool_call"      // Before exec/read/write/etc.
"after_tool_call"       // After tool completes
"tool_error"            // On tool error

3. Plugin Registration

api.registerHook({
  events: ['before_tool_call', 'after_tool_call'],
  handler: async (event) => {
    // Log to external system, trigger auto-fix, etc.
  }
});

Why This Matters

Without HooksWith Hooks
Manual log parsingReal-time tracking
No auto-improvementAUTO-FIX on failure
Brittle integrationsClean plugin API
Can't detect degradationDetect degradation early

Example Use Case

An evolution engine plugin could:

  1. Hook into before_tool_call to tag execution context
  2. Hook into after_tool_call to record latency
  3. Hook into tool_error to trigger automatic repair
  4. Aggregate data to recommend Skill improvements

Labels: hook, plugin, skill, api


---

## 🚀 提交步骤

1. 打开：**https://github.com/openclaw/openclaw/issues/new/choose**
2. 点击 **"Feature request"** 卡片
3. 标题填：`[Feature Request] Add Skill/Tool Execution Hooks for Evolution Engine Integration`
4. 描述复制上面的正文
5. Labels 选择：`hook`, `plugin`, `skill`, `api`
6. 点击 **Submit**

---

**要我帮你打开GitHub吗？** 或者你想先看看其他选项？

### Additional information

_No response_

extent analysis

Fix Plan

To address the issue, we need to implement skill/tool-level hooks in the OpenClaw system. Here are the steps:

  • Add the following skill execution hooks:
    • before_skill_execute
    • after_skill_execute
    • skill_error
  • Add the following tool call hooks:
    • before_tool_call
    • after_tool_call
    • tool_error
  • Implement plugin registration using the api.registerHook method, allowing plugins to hook into these events.

Example code for plugin registration:

api.registerHook({
  events: ['before_tool_call', 'after_tool_call'],
  handler: async (event) => {
    // Log to external system, trigger auto-fix, etc.
    if (event.type === 'before_tool_call') {
      // Tag execution context
    } else if (event.type === 'after_tool_call') {
      // Record latency
    }
  }
});

Verification

To verify that the fix worked, we can:

  • Test the plugin registration and hook functionality
  • Check that the hooks are being triggered correctly for skill and tool executions
  • Verify that the plugin can log to an external system and trigger auto-fixes as needed

Extra Tips

  • Ensure that the hooks are properly documented and exposed to plugin developers
  • Consider adding additional hooks or events as needed to support further integration with evolution engines
  • Test the implementation thoroughly to ensure that it is stable and performs well under various scenarios.

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