xint
X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.
Self Prompt: Forcing Agent Responses
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install eliranwong/self-promptInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
When automated scripts (cron, monitoring) send messages via openclaw message send:
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"
openclaw message send → Creates chat message → Agent sees as "notification"openclaw agent → Triggers actual agent turn → Agent MUST process and respondUse scripts/send_agent_task.sh:
# Simple usage:
~/.openclaw/skills/self-prompt/scripts/send_agent_task.sh \
"AGENT_ID" \
"GROUP_ID" \
"Your task message here"
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
)
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:$GROUP_ID" \
--message "Anal...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Self-Prompt: Forcing Agent Responses
## The Problem
When automated scripts (cron, monitoring) send messages via `openclaw message send`:
- Messages appear in chat as "system messages"
- Agents may treat them as background info, not tasks
- Agents respond to user messages but ignore automated ones
- Accountability checks, alerts, and tasks go unanswered
## The Solution
Use `openclaw agent` instead of `openclaw message send` for messages requiring agent response:
```bash
# OLD (agent may ignore):
openclaw message send --target -GROUP_ID --message "TASK: Do something"
# NEW (agent MUST respond):
RESPONSE=$(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...X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.
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