aipdlc

aipdlc is a skill for Claude Code, Codex from mbmd/AIPDLC. It costs 64 tokens per session (1,458 once invoked), scanned C, a copy of aipdlc, Apache-2.0.

A collection of 11 workflow packages for guiding AI coding agents through the product development lifecycle, from evaluating an idea to testing and compliance. The product development lifecycle is the sequence of steps used to plan, design, build, and check software.

In plain words
What is it for?
Use it for idea evaluation, project initiation, portfolio governance, product ownership, UX design, architecture, workspace generation, compliance, and test accountability.
Why use it?
It gives an agent a structured process for professional software delivery instead of leaving each project step undefined.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for cline. Also seen: mentions Claude Code; built for cline.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is ./.aiflc-src/AIPDLC/installer/install.sh --target ..

Good fit Use it for idea evaluation, project initiation, portfolio governance, product ownership, UX design, architecture, workspace generation, compliance, and test accountability.

Compare 6 skills from other repositories ↓
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/mbmd/AIPDLC
agentmods
npx agentmods add skills/mbmd/aipdlc/pdlc-packages

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 aipdlc

README.md
[![agentmods](https://agentmods.dev/badge/skills/mbmd/aipdlc/pdlc-packages/github.svg)](https://agentmods.dev/skills/mbmd/aipdlc/pdlc-packages)
Your own site
<a href="https://agentmods.dev/skills/mbmd/aipdlc/pdlc-packages"><img src="https://agentmods.dev/badge/skills/mbmd/aipdlc/pdlc-packages/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 aipdlc

Your own site · 80×15
<a href="https://agentmods.dev/skills/mbmd/aipdlc/pdlc-packages"><img src="https://agentmods.dev/badge/skills/mbmd/aipdlc/pdlc-packages.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,458 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 $0.00064 $0.01458
Opus 5.5 $0.00026 $0.00583
Sonnet 5.5 $0.00013 $0.00292
Haiku 4.5 $0.00006 $0.00146

Measured 1mo ago against content hash d4490b52cb0f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

aipdlc scanned grade C with 1 finding 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

rm -rf .aiflc-src
Origin

This is a copy

100% identical to aipdlc — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

pdlc-packages/SKILL.md · 150 lines

How it starts

The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AIPDLC — The AI-* PDLC (Product Development Life Cycle) Family

Injectable workflow packages that give AI coding agents structured expertise for professional software delivery.

What This Skill Provides

When installed, your AI agent gains access to 11 chained workflow packages covering the full PDLC (Product Development Life Cycle) — from raw idea to production-ready workspace with governance and test accountability baked in.

Each package makes your agent behave like a senior domain expert: a PMO advisor for initiation, a CTO/architect for design, a DevOps engineer for workspace setup, a compliance officer for governance, a QA lead for test strategy. No plugins, no APIs — just markdown-based procedural knowledge your agent reads and executes.

The Chain

╔══════════ PORTFOLIO LAYER · scope = MANY projects ══════════╗

   (optional)
    AI-ILC  ⇢  AI-PILC  ⇢  AI-PPM
    Decide it   Initiate it   Govern it (portfolio)

╚═══════════════════════╤═════════════════════════════════════╝
                         │
                      AI-FLO   Route it (package-to-package)
                         │
╔══════════ PROJECT LAYER · scope = ONE project ══════════════╗

    AI-POLC → AI-UXD → AI-ADLC → AI-DWG → AI-DLC (build)
    Own it    Design UX  Design it  Prepare it

    AI-GCE + AI-TGE ── alongside (continuous quality) ──►
    Guard it  Test it

╚═════════════════════════════════════════════════════════════╝

Packages at a Glance

Package What It Does Expert Role
AI-ILC (Idea Life Cycle) Raw idea → Approved Idea Brief Product Manager
AI-PILC (Project Initiation Life Cycle) Requirement → Project Initiation Package PMO Advisor
AI-PPM (Project Portfolio Management) Multiple PIPs → Portfolio governance Portfolio Manager
AI-FLO (Flow Orchestrator) Package-to-package routing Orchestration Engine
AI-POLC (Product Ownership Life Cycle) PIP → Product Backlog Package Product Owner
AI-UXD (UX Design) PIP + PBP → UX Design Package UX Designer
AI-ADLC (Architecture Design Life Cycle) Requirements → Architecture Package CTO / Architect
AI-DWG (Workspace Generator) AP + PBP + UXP → Ready-to-code workspace DevOps Engineer
AI-GCE (Governance & Compliance Engine) Workspace → Compliance enforcement Governance Officer
AI-TGE (Test Governance Engine) Workspace → Test strategy & coverage QA Lead

Read the full file on GitHub · 150 lines

Files

What ships with it

60 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. 1mo ago Changed · +12 tokens per session d4490b52cb0f
  2. 1mo ago Changed df7928455849
  3. 1mo ago First seen · 150 lines · 52 tokens per session scan C 93d25d0dec18

Subscribe to this mod's changes

aipdlc is a skill published in the GitHub repository mbmd/AIPDLC (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 64 tokens to every session and 1,458 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). It is 100% identical to aipdlc, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

test-roadmap

Analyzes a repository and any existing test suite, grades existing tests for weakness, classifies mocks, emits a phased roadmap for building a test suite that catches real regressions, then executes those phases one at a time. Use when planning or building a test suite, assessing whether existing tests are worth…

Ovid/paad · 105 tokens

refactoring-workflow

Improve the structure of existing code without changing its behaviour, in small verified steps under a green test suite. Use when the user asks to refactor, clean up, restructure or simplify code, wants to reduce duplication or coupling, is preparing a codebase for a feature it cannot currently accommodate, or when…

personamanagmentlayer/pcl · 83 tokens

tdd

You MUST use this when implementing testable behavior changes - new features, bug fixes, or refactors with observable contracts. Covers writing meaningful failing tests before implementation and verifying behavior through the red-green-refactor cycle. Not for purely mechanical edits without behavior changes.

sentimony/skills · 54 tokens

absolute-work

End-to-end, phase-gated SDLC for AI coding agents: relentless design interview → reviewed spec → dependency-graphed task board → safe-wave TDD execution → verification → converge. Handles features, bugs, refactors, greenfield projects, planning breakdowns, and migrations. Triggers on "absolute work", "build this…

maddhruv/absolute · 104 tokens

vitest

You MUST use this when configuring, writing, debugging, running, migrating, or auditing Vitest tests in JavaScript/TypeScript projects - Vite, Vue, Nuxt, React, Next.js, Node libraries, workspaces, coverage, mocks, snapshots, flaky tests, CI parity, or Jest migration.

sentimony/skills · 66 tokens

web-debug

You MUST use this when interacting with or testing local web applications with Playwright - verifying frontend functionality, debugging UI behavior, capturing browser screenshots, or viewing browser console logs.

sentimony/skills · 37 tokens