OpenClaw

Self Prompt

Self Prompt: Forcing Agent Responses

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查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install eliranwong/self-prompt

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Self-Prompt: Forcing Agent Responses

The Problem

When automated scripts (cron, monitoring) send messages via openclaw message send:

Messages appear in chat as "system messages"
Agents may treat them as background info, not tasks
Agents respond to user messages but ignore automated ones
Accountability checks, alerts, and tasks go unanswered

The Solution

Use openclaw agent instead of openclaw message send for messages requiring agent response:

# OLD (agent may ignore):
openclaw message send --target -GROUP_ID --message "TASK: Do something"

# NEW (agent MUST respond):
RESPONSE=$(openclaw agent \
    --agent AGENT_ID \
    --session-id "agent:AGENT_ID:telegram:group:GROUP_ID" \
    --channel telegram \
    --message "TASK: Do something" \
    --timeout 180)

# Send response to chat:
openclaw message send --target -GROUP_ID --message "$RESPONSE"

Why This Works

openclaw message send → Creates chat message → Agent sees as "notification"
openclaw agent → Triggers actual agent turn → Agent MUST process and respond

Quick Start

For Bash Scripts

Use scripts/send_agent_task.sh:

# Simple usage:
~/.openclaw/skills/self-prompt/scripts/send_agent_task.sh \
    "AGENT_ID" \
    "GROUP_ID" \
    "Your task message here"

For Python Scripts

Use scripts/send_agent_task.py:

from send_agent_task import send_and_deliver

success, response = send_and_deliver(
    agent_id="stock-trading",
    group_id="-5283045656", 
    message="TASK: Analyze current positions",
    timeout=180
)

Pattern: Data + Task Separation

For monitoring scripts, separate data delivery from task requests:

# 1. Send DATA immediately (informational)
openclaw message send --target "$GROUP_ID" --message "📊 Position Data:
$POSITIONS"

# 2. Send TASK via agent (forces response)
RESPONSE=$(openclaw agent \
    --agent "$AGENT_ID" \
    --session-id "agent:$AGENT_ID:telegram:group:$GROUP_ID" \
    --message "Anal...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/eliranwong/self-prompt
Version: —
Commit: 168f4f3fdc7b196468f9f7c278292303f089307e
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Self-Prompt: Forcing Agent Responses

## The Problem

When automated scripts (cron, monitoring) send messages via `openclaw message send`:
- Messages appear in chat as "system messages"
- Agents may treat them as background info, not tasks
- Agents respond to user messages but ignore automated ones
- Accountability checks, alerts, and tasks go unanswered

## The Solution

Use `openclaw agent` instead of `openclaw message send` for messages requiring agent response:

```bash
# OLD (agent may ignore):
openclaw message send --target -GROUP_ID --message "TASK: Do something"

# NEW (agent MUST respond):
RESPONSE=$(openclaw agent \
    --agent AGENT_ID \
    --session-id "agent:AGENT_ID:telegram:group:GROUP_ID" \
    --channel telegram \
    --message "TASK: Do something" \
    --timeout 180)

# Send response to chat:
openclaw message send --target -GROUP_ID --message "$RESPONSE"
```

## Why This Works

- `openclaw message send` → Creates chat message → Agent sees as "notification"
- `openclaw agent` → Triggers actual agent turn → Agent MUST process and respond

## Quick Start

### For Bash Scripts

Use `scripts/send_agent_task.sh`:

```bash
# Simple usage:
~/.openclaw/skills/self-prompt/scripts/send_agent_task.sh \
    "AGENT_ID" \
    "GROUP_ID" \
    "Your task message here"
```

### For Python Scripts

Use `scripts/send_agent_task.py`:

```python
from send_agent_task import send_and_deliver

success, response = send_and_deliver(
    agent_id="stock-trading",
    group_id="-5283045656", 
    message="TASK: Analyze current positions",
    timeout=180
)
```

## Pattern: Data + Task Separation

For monitoring scripts, separate data delivery from task requests:

```bash
# 1. Send DATA immediately (informational)
openclaw message send --target "$GROUP_ID" --message "📊 Position Data:
$POSITIONS"

# 2. Send TASK via agent (forces response)
RESPONSE=$(openclaw agent \
    --agent "$AGENT_ID" \
    --session-id "agent:$AGENT_ID:telegram:group:$GROUP_ID" \
    --message "Anal...

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