What is autonomous-longtask?

A German-language guide for handling large software-development tasks across multiple sessions. It covers tested increments, checkpoints, sub-agents, parallel work, and progress handoffs.

It is for complex features, multi-step refactorings, work spanning several sessions, and tasks that take more than 30 minutes.

It helps reduce unfinished work, lost context, and untested changes during long development tasks.

autonomous-longtask — Skill for Claude Code and Codex by T-0-co

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/T-0-co/t-0-spec-kit-ralph

agentmods

npx agentmods add skills/t-0-co/t-0-spec-kit-ralph/autonomous-longtask

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/t-0-co/t-0-spec-kit-ralph/autonomous-longtask/github.svg)](https://agentmods.dev/skills/t-0-co/t-0-spec-kit-ralph/autonomous-longtask)

Your own site

<a href="https://agentmods.dev/skills/t-0-co/t-0-spec-kit-ralph/autonomous-longtask"><img src="https://agentmods.dev/badge/skills/t-0-co/t-0-spec-kit-ralph/autonomous-longtask/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/t-0-co/t-0-spec-kit-ralph/autonomous-longtask"><img src="https://agentmods.dev/badge/skills/t-0-co/t-0-spec-kit-ralph/autonomous-longtask.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,244 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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00038	$0.02244
Opus 5	$0.00019	$0.01122
Sonnet 5	$0.00008	$0.00449
Haiku 4.5	$0.00004	$0.00224

Measured 10d ago against content hash e432ce96f1db, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

autonomous-longtask 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 10d ago.

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.

.agents/skills/autonomous-longtask/SKILL.md · 379 lines

How it starts

The opening of the file, as written. The whole thing — 379 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Autonomous Long-Task Development

Dieses Skill optimiert Claude Code für lange, autonome Entwicklungsaufgaben - von mehrstündigen Feature-Implementierungen bis zu Multi-Session-Refactorings.

Wann diesen Skill nutzen

Komplexe Features: Implementierungen die mehrere Dateien/Services betreffen
Multi-Step Workflows: Tasks mit 5+ abhängigen Schritten
Long-Running Tasks: Aufgaben die >30 Min dauern
Multi-Session Tasks: Arbeit die über Context-Grenzen hinausgeht

Core Principles

1. Loop Closing (Test-Driven)

Jede Code-Änderung muss einen Feedback-Loop schließen:

1. Test schreiben (was soll passieren)
2. Code implementieren
3. Test ausführen → Loop geschlossen
4. Refactor falls nötig
5. Test erneut → Sicherheit

Anti-Pattern (Open Loop):

"Implementiere Feature X"
→ Code geschrieben, keine Verifikation
→ Bugs später entdeckt

Best Practice (Closed Loop):

"Implementiere Feature X mit E2E Test.
Führe den Test nach Implementation aus."
→ Sofortige Verifikation

2. Incremental Progress mit Checkpoints

Niemals alles auf einmal:

❌ Versuchen das komplette Feature zu "one-shotten"
   → Context läuft aus mitten in der Implementierung
   → Nächste Session erbt Chaos

✓ Kleine, getestete Inkremente
   → Jedes Inkrement funktioniert standalone
   → Klare Übergabe zwischen Sessions

Checkpoint-Pattern:

Nutze /rewind oder Esc Esc für Rollbacks
Committe nach jedem funktionierenden Inkrement
Dokumentiere State in STATUS.md oder claude-progress.txt

3. Context-Window Management

Claude Opus 4 kann 200K Tokens, aber:

Sub-Agents haben eigene Context Windows (isoliert)
Lange Sessions fragmentieren den Context
claude-progress.txt für Session-Handoffs nutzen

Sub-Agents für Parallelisierung

Was sind Sub-Agents?

Lightweight Claude-Instanzen mit eigenem Context Window. Nur relevante Ergebnisse kommen zurück zum Orchestrator.

Verfügbare Agent-Typen

Read the full file on GitHub · 379 lines

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.

10d ago First seen · 379 lines · 38 tokens per session scan A e432ce96f1db

Subscribe to this mod's changes

autonomous-longtask is a skill published in the GitHub repository T-0-co/t-0-spec-kit-ralph (10 stars, last pushed 2mo ago), licensed MIT. It adds 38 tokens to every session and 2,244 once invoked, about $0.0002 per session on Opus 5. 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 2026-08-31.

Autonomous Agents Claude Code Planning autonomous-systems claude claude-skills open-source

repo-audit

Run a comprehensive language-agnostic repository health audit, scored 0-100. Detects language, runs native tooling, never assumes JS/Python.

adolfousier/opencrabs · 35 tokens

github

Full GitHub CLI control — issues, PRs, code reviews, repo management. Uses gh CLI with auth detection, rate limiting, and templates. Triggers on: github, issue, pull request, PR, code review, repo, branch, label, assignee, milestone, release, workflow, actions.

adolfousier/opencrabs · 0 tokens

multi-agent

Orchestrate a task across multiple AI models/providers. Define a team of agents with different roles, providers, and models. Each agent handles a phase (planning, execution, auditing, etc.) and results are combined. (/multi-agent, orchestrate, multi-model, team).

adolfousier/opencrabs · 59 tokens

autonomous-longtask