task-progress

task-progress is a skill for Claude Code, Codex from sonichi/sutando. It costs 0 tokens per session (3,080 once invoked), scanned A, original, MIT.

A progress-notification tool for tasks started through Slack, Discord, or Telegram.

In plain words
What is it for?
Use it to send short mid-task status updates back to the channel where the task began.
Why use it?
It tells the user that a long-running task has started and can provide brief updates while work is underway. It keeps progress messages separate from the final answer.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md.

Good fit Use it to send short mid-task status updates back to the channel where the task began.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sonichi/sutando/task-progress
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add sonichi/sutando --skill task-progress
Clone the repo
git clone --depth 1 https://github.com/sonichi/sutando

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for task-progress

README.md
[![agentmods](https://agentmods.dev/badge/skills/sonichi/sutando/task-progress/github.svg)](https://agentmods.dev/skills/sonichi/sutando/task-progress)
Your own site
<a href="https://agentmods.dev/skills/sonichi/sutando/task-progress"><img src="https://agentmods.dev/badge/skills/sonichi/sutando/task-progress/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for task-progress

Your own site · 80×15
<a href="https://agentmods.dev/skills/sonichi/sutando/task-progress"><img src="https://agentmods.dev/badge/skills/sonichi/sutando/task-progress.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,080 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Tool Misuse · line 131
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.03080
Opus 5.5 $0.00000 $0.01232
Sonnet 5.5 $0.00000 $0.00616
Haiku 4.5 $0.00000 $0.00308

Measured 6d ago against content hash 4c96df7a9508, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

task-progress scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/notify.py, scripts/step.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/task-progress/SKILL.md · 245 lines

How it starts

The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.

task-progress

Sends mid-task progress updates to the channel a task came from (Slack, Discord, Telegram, or an AG2 Space room).

Critical rule — if you notify, notify BEFORE any work begins

For tasks that need a progress update, call notify.py as the FIRST action after reading the task — before transcription, web searches, code reads, or any other tool call. The user's first signal that you received a long-running task must be the notification, not silence followed by a result minutes later.

Critical rule — progress only, never final answers

notify.py is only for short progress/status updates. Do not use it to send the answer, findings, recommendations, completed list, PR summary, or any other final result. Final task delivery must go through the authoritative task result file (results/task-<id>.txt, or the channel-specific result path named in the task).

Keep notify bodies short: at most 280 characters and 4 non-empty lines. The script rejects longer messages so a final answer cannot accidentally be sent directly and then duplicated by the bridge when it delivers the result file.

If you already sent the final answer through another approved path, write [REPLIED] to the task result file so the bridge archives the task without sending a duplicate.

Voice message tasks (most common failure case)

When a task contains a voice attachment ([File attached: ...]), notify BEFORE calling the transcription script. Transcription takes 10–30 seconds — the user should not wait in silence.

Wrong order:

  1. Read task (sees voice attachment)
  2. Call transcribe.py ← 20s of silence
  3. Process transcript
  4. Return result ← user waited 60+ seconds with no signal

Correct order:

  1. Read task (sees voice attachment)
  2. Notify: "Got your voice message, give me a moment." ← user knows within seconds
  3. Call transcribe.py
  4. Process — if research needed, notify again before starting
  5. Return result

All other long-running tasks

Wrong order:

  1. Read task
  2. Do research (WebSearch, WebFetch, file reads, analysis...)
  3. ← user waits 2 min with no signal
  4. Notify "on it"
  5. Return result

Read the full file on GitHub · 245 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago Changed · +9 lines 4c96df7a9508
  2. 9d ago Changed · +27 lines 26168f5cb648
  3. 16d ago Changed · +1 lines 753f5530310d
  4. 20d ago Changed · +52 lines a90c661a08c1
  5. 25d ago Changed · +18 lines 103e33e5f6d8
  6. 1mo ago First seen · 138 lines · 0 tokens per session scan A 00497d7fb2bf

Subscribe to this mod's changes

task-progress is a skill published in the GitHub repository sonichi/sutando (397 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,080 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories