Agent skill

Task Status

by aAAaqwq in aAAaqwq/AGI-Super-Team

Send short status descriptions in chat for long-running tasks.

MITAuto-check passedProductivity & Automation

Install Task Status

skills CLI
$ npx skills add aAAaqwq/AGI-Super-Team --skill task-status -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aAAaqwq/AGI-Super-Team task-status --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/task-status .claude/skills/task-status && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
task-status
GitHub stars
105
Used in
1 other repo
Token cost
~1.1k tokens
SKILL.md length
264 words
Files
10 (incl. scripts, references)
Skills in repo
161
Repo updated
First seen
Licence
MIT

At a glance

Send short status descriptions in chat for long-running tasks.

  • You need to provide periodic updates during multi-step operations
  • SKILL.md covers Quick Start, Status Types, Periodic Monitoring and Manual Updates (Quick Status), plus 5 more sections
  • Runs Python scripts from its folder; calls python
  • Confirm task completion

What it does

Task Status is an agent skill from aAAaqwq/AGI-Super-Team. 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.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts and reference files (for example `.clawhub/origin.json`, `README.md` and `_meta.json`).

It sits in Productivity & Automation. The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.

When your agent uses it

  • You need to provide periodic updates during multi-step operations
  • Confirm task completion
  • Notify of failures

Example prompts

  • “/task-status”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 331ecd3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 5 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Task Status loads about 1.1k tokens when it runs, and up to ~2.4k if it reads all its reference files. Until then it costs about 89 tokens; SKILL.md has 264 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from aAAaqwq/AGI-Super-Team at commit 331ecd3, republished under its MIT licence (© aAAaqwq). 264 words, ~1,092 tokens.

Download SKILL.mdSave it as .claude/skills/task-status/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
task-status
description
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.

Task Status Skill

Quick Start

Manual Status Updates
bash
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)
bash
# 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
bash
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
bash
python scripts/monitor_task.py stop "<task_name>" "<final_status>" "<final_message>"
Example: Long File Processing
bash
# 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:

bash
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"

When to Use Each Method

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"

Advanced Usage

With Additional Details
bash
python scripts/send_status.py "Uploading..." "progress" "upload" --details "File: report.pdf (2.4MB)"
Different Intervals
bash
python scripts/monitor_task.py start "data_sync" "progress" --interval 10
Importing for Python Scripts
python
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:

python
# 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.

© aAAaqwq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 9 other files (scripts, references) in skills/task-status of aAAaqwq/AGI-Super-Team.

  • SKILL.md
  • .clawhub/origin.json
  • README.md
  • _meta.json
  • references/usage.md
  • scripts/monitor_task.py
  • scripts/send_status.py
  • scripts/send_status_websocket.py
  • scripts/send_status_with_logging.py
  • scripts/test_send_status.py

Open the folder on GitHubat commit 331ecd3

Used in 1 other repository

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aAAaqwq/AGI-Super-Team, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Task Status next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Task Status compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Task Status this skillaAAaqwq/AGI-Super-Team1051 repos~1.1kAutomated safety check: PassMIT
Agent Browserquran/quran.com-frontend-next1.9k41 repos~3.3kAutomated safety check: PassNone
Process Inboxtelegramdesktop/tdesktop33k2 repos~4.5kAutomated safety check: PassGPL-3.0
Perform Tasktelegramdesktop/tdesktop33k2 repos~3kAutomated safety check: PassGPL-3.0
Brave Searchbadlogic/pi-skills2.6k6 repos~592Automated safety check: PassMIT
Continuetelegramdesktop/tdesktop33k2 repos~9.4kAutomated safety check: PassGPL-3.0

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Questions about Task Status

What does Task Status do?

Send short status descriptions in chat for long-running tasks. Task Status is an agent skill from aAAaqwq/AGI-Super-Team. Send short status descriptions in chat for long-running tasks.

When should I use Task Status?

Task Status fits situations like: you need to provide periodic updates during multi-step operations; confirm task completion; notify of failures.

How do I install Task Status in Claude Code?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill task-status -a claude-code`. Or copy the skill folder (skills/task-status in aAAaqwq/AGI-Super-Team) into .claude/skills/task-status in your project. Claude Code loads it when a task matches its description.

How do I install Task Status in Codex?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill task-status -a codex`. Or copy the skill folder (skills/task-status in aAAaqwq/AGI-Super-Team) into .agents/skills/task-status in your project. Codex loads it when a task matches its description.

Can I use Task Status in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aAAaqwq/AGI-Super-Team --skill task-status -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/task-status, .gemini/skills/task-status, .github/skills/task-status and .opencode/skills/task-status in your project.

What does Task Status need to run?

Going by SKILL.md and its folder, Task Status needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Task Status access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Task Status safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Task Status use?

Task Status is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Task Status use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3k tokens, read only when the agent opens those files.

What are the alternatives to Task Status?

Skills that share tags, products or a category with Task Status: Agent Browser (quran/quran.com-frontend-next, 1.9k stars), Process Inbox (telegramdesktop/tdesktop, 33k stars), Perform Task (telegramdesktop/tdesktop, 33k stars) and Brave Search (badlogic/pi-skills, 2.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Task Status?

aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 161 skills in this directory. The repository was last updated on September 27, 2026.

Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.