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Tencent SkillHub · Communication & Collaboration

Task Status

Send short status descriptions in chat for long-running tasks. Use when you need to provide periodic updates during multi-step operations, confirm task completion, or notify of failures. Includes automated periodic monitoring that sends updates every 5 seconds, status message templates, and a helper function for consistent status reporting.

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Send short status descriptions in chat for long-running tasks. Use when you need to provide periodic updates during multi-step operations, confirm task completion, or notify of failures. Includes automated periodic monitoring that sends updates every 5 seconds, status message templates, and a helper function for consistent status reporting.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
README.md, references/usage.md, scripts/monitor_task.py, scripts/send_status.py, scripts/send_status_websocket.py, scripts/send_status_with_logging.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

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

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.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 16 sections Open source page

Manual Status Updates

python scripts/send_status.py "Starting data fetch..." "progress" "step1" python scripts/send_status.py "Processing complete" "success" "final" python scripts/send_status.py "Error: Missing API key" "error" "auth"

Automatic Periodic Monitoring (Every 5 seconds)

# Start monitoring a long-running task python scripts/monitor_task.py start "My Long Task" "processing" # Monitor will send "Still working..." updates every 5 seconds # When task completes, report final status python scripts/monitor_task.py stop "My Long Task" "success" "Completed successfully!"

Status Types

progress: Ongoing work (shows 🔄 or ->) success: Task complete (shows ✅ or OK) error: Failed task (shows ❌ or !) warning: Issue but continuing (shows ⚠️ or ?)

Periodic Monitoring

The monitor_task.py script provides automatic updates:

Starting Monitor

python scripts/monitor_task.py start "<task_name>" "<status_type>" [--interval <seconds>] Automatically sends "Still working..." updates every 5 seconds Runs in background until stopped Can be customized with different intervals

Stopping Monitor

python scripts/monitor_task.py stop "<task_name>" "<final_status>" "<final_message>"

Example: Long File Processing

# Start monitoring python scripts/monitor_task.py start "video_processing" "progress" # ... long processing happens here ... # Stop with final status python scripts/monitor_task.py stop "video_processing" "success" "Processing complete!"

Manual Updates (Quick Status)

For single status updates without monitoring: python scripts/send_status.py "Still fetching data..." "progress" "fetch" python scripts/send_status.py "Processing records: 250/1000" "progress" "process" python scripts/send_status.py "Complete! 3 files ready" "success" "final" python scripts/send_status.py "Error: Connection timeout" "error" "api"

Use Manual Updates When:

Task is short (under 30 seconds) You want control over when updates are sent Task has discrete, meaningful milestones

Use Periodic Monitoring When:

Task is long-running (over 1 minute) You want consistent "heartbeat" updates every 5 seconds Task has long periods of quiet work You want to reassure user that work is ongoing

Message Guidelines

Keep status messages under 140 characters. Examples: Progress: "Still fetching data..." or "Processing records: 250/1000" Success: "Complete! 3 files ready" or "Task finished successfully" Error: "Error: Connection timeout" or "Failed: Missing API key" Warning: "Continuing despite timeout" or "Partial success: 5/10 files"

With Additional Details

python scripts/send_status.py "Uploading..." "progress" "upload" --details "File: report.pdf (2.4MB)"

Different Intervals

python scripts/monitor_task.py start "data_sync" "progress" --interval 10

Importing for Python Scripts

from send_status import send_status def long_task(): send_status("Starting...", "progress", "step1") # ... work send_status("Step complete", "success", "step1")

Automation with Clawdbot Cron

For scheduled tasks, use Clawdbot's cron feature: # In a script or session from cron import add # Every 5 seconds, check status job = { "text": "Check status update", "interval": "5s", "enabled": True } add(job) This allows status updates even when you're not actively watching.

Installation

To use this skill, copy the task-status folder into your Clawdbot skills directory: C:\Users\Luffy\AppData\Roaming\npm\node_modules\clawdbot\skills\task-status Or add it to your workspace and reference it from AGENTS.md or TOOLS.md. Once installed, the skill will be available for any task where you need periodic status updates.

Category context

Messaging, meetings, inboxes, CRM, and teammate communication surfaces.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
4 Scripts2 Docs
  • README.md Docs
  • references/usage.md Docs
  • scripts/monitor_task.py Scripts
  • scripts/send_status_websocket.py Scripts
  • scripts/send_status_with_logging.py Scripts
  • scripts/send_status.py Scripts