autonomous-delivery-pipeline

autonomous-delivery-pipeline is a skill for Claude Code from yeaight7/agent-powerups. It costs 54 tokens per session (949 once invoked), scanned A, original, Apache-2.0.

A workflow for taking a short software idea through requirements, design, planning, implementation, testing, and validation. It coordinates these phases to produce working code, but does not grant permission to change global settings, secrets, or deploy systems.

In plain words
What is it for?
Use it when an idea needs end-to-end autonomous delivery across several phases, rather than a brainstorm, quick fix, or single focused change.
Why use it?
It removes the need to manually coordinate every stage of a substantial coding task. Separating planning, implementation, quality checks, and validation reduces the chance that important steps are skipped.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the software-engineering plugin — 5 skills, 5 agents shipped together

Good fit Use it when an idea needs end-to-end autonomous delivery across several phases, rather than a brainstorm, quick fix, or single focused change.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yeaight7/agent-powerups/autonomous-delivery-pipeline
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 yeaight7/agent-powerups --skill autonomous-delivery-pipeline
Clone the repo
git clone --depth 1 https://github.com/yeaight7/agent-powerups

Made for: Claude Code.

Or install software-engineering, the plugin that ships this one along with the rest of its 5 skills, 5 agents.

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 autonomous-delivery-pipeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/yeaight7/agent-powerups/autonomous-delivery-pipeline/github.svg)](https://agentmods.dev/skills/yeaight7/agent-powerups/autonomous-delivery-pipeline)
Your own site
<a href="https://agentmods.dev/skills/yeaight7/agent-powerups/autonomous-delivery-pipeline"><img src="https://agentmods.dev/badge/skills/yeaight7/agent-powerups/autonomous-delivery-pipeline/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 autonomous-delivery-pipeline

Your own site · 80×15
<a href="https://agentmods.dev/skills/yeaight7/agent-powerups/autonomous-delivery-pipeline"><img src="https://agentmods.dev/badge/skills/yeaight7/agent-powerups/autonomous-delivery-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 949 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.00949
Opus 5.5 $0.00022 $0.00380
Sonnet 5.5 $0.00011 $0.00190
Haiku 4.5 $0.00005 $0.00095

Measured 1mo ago against content hash dd9a63b30d72, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

autonomous-delivery-pipeline 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 1mo 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.

plugins/software-engineering/skills/autonomous-delivery-pipeline/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Autonomous Delivery Pipeline takes a brief product idea and autonomously handles the full lifecycle: requirements analysis, technical design, planning, parallel implementation, QA cycling, and multi-perspective validation. It produces working, verified code from a 2-3 line description.

This skill creates an execution plan and verification loop for a coding agent. It does not grant permission to write globally, install dependencies, commit, push, deploy, or modify secrets.

When to Use

  • User wants end-to-end autonomous execution from an idea to working code
  • Task requires multiple phases: planning, coding, testing, and validation

Do Not Use When

  • User wants to explore options or brainstorm -- respond conversationally
  • User wants a single focused code change -- use a persistent completion loop or delegate directly
  • Task is a quick fix or small bug -- use direct executor delegation

Why This Exists

Most non-trivial software tasks require coordinated phases: understanding requirements, designing a solution, implementing in parallel, testing, and validating quality. Autonomous delivery orchestrates all of these phases automatically so the user can describe what they want and receive working code without managing each step.

Inputs

  • A brief product idea or task description (2-3 lines is enough)
  • Optional: a pre-validated requirements-clarifier spec (.specs/requirements-clarifier-*.md); if present, Phase 0 expansion is skipped

Execution Policy

  • Each phase must complete before the next begins
  • Parallel execution is used within phases where possible (Phase 2 and Phase 4)
  • QA cycles repeat up to 5 times; if the same error persists 3 times, stop and report the fundamental issue
  • Validation requires approval from all reviewers; rejected items get fixed and re-validated
  • Dry-run and default-safe behaviors apply. Review before use.

Workflow

  1. Phase 0 - Expansion: Turn the user's idea into a detailed spec
    • If requirements clarifier spec exists: Skip expansion, use the pre-validated spec directly. Continue to Phase 1 (Planning).
    • If input is vague (no file paths, function names, or concrete anchors): Offer redirect to requirements clarifier for Socratic clarification
    • Otherwise: Extract requirements and create technical specification
    • Output: a written specification document

Read the full file on GitHub · 92 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.

  1. 1mo ago First seen · 92 lines · 54 tokens per session scan A dd9a63b30d72

Subscribe to this mod's changes

autonomous-delivery-pipeline is a skill published in the GitHub repository yeaight7/agent-powerups (6 stars, last pushed 19d ago), licensed Apache-2.0. It adds 54 tokens to every session and 949 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-14.