~aod-run

~aod-run is a skill for Claude Code from davidmatousek/agentic-oriented-development-kit. It costs 72 tokens per session (10,107 once invoked), scanned A, a copy of ~aod-run, MIT.

A workflow coordinator for taking a software idea through six stages: discovery, definition, planning, building, delivery, and documentation. It saves progress to disk and pauses for required approvals between stages.

In plain words
What is it for?
Use it to start work from an idea, continue an issue from its current stage, resume from a saved checkpoint, or view progress.
Why use it?
It keeps a long development process organized and resumable, even if a session stops. It also makes approval points visible before work moves forward.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions Claude Code.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is bash .aod/scripts/bash/backlog-regenerate.sh 2>/dev/null || true.

Good fit Use it to start work from an idea, continue an issue from its current stage, resume from a saved checkpoint, or view progress.

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/davidmatousek/agentic-oriented-development-kit
agentmods
npx agentmods add skills/davidmatousek/agentic-oriented-development-kit/aod-run

Made for: Claude Code.

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 ~aod-run

README.md
[![agentmods](https://agentmods.dev/badge/skills/davidmatousek/agentic-oriented-development-kit/aod-run/github.svg)](https://agentmods.dev/skills/davidmatousek/agentic-oriented-development-kit/aod-run)
Your own site
<a href="https://agentmods.dev/skills/davidmatousek/agentic-oriented-development-kit/aod-run"><img src="https://agentmods.dev/badge/skills/davidmatousek/agentic-oriented-development-kit/aod-run/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 ~aod-run

Your own site · 80×15
<a href="https://agentmods.dev/skills/davidmatousek/agentic-oriented-development-kit/aod-run"><img src="https://agentmods.dev/badge/skills/davidmatousek/agentic-oriented-development-kit/aod-run.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,107 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 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 $0.00072 $0.10107
Opus 5.5 $0.00029 $0.04043
Sonnet 5.5 $0.00014 $0.02021
Haiku 4.5 $0.00007 $0.01011

Measured 1mo ago against content hash bd890355e021, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

~aod-run 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.

Origin

This is a copy

100% identical to ~aod-run — 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.

.claude/skills/~aod-run/SKILL.md · 694 lines

How it starts

The opening of the file, as written. The whole thing — 694 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Full Lifecycle Orchestrator Skill

Purpose

Single-command lifecycle orchestrator that chains all 6 AOD stages autonomously, pausing at governance gates for Triad sign-offs and persisting state to disk for session resilience. After Deliver completes, Document runs automatically as Stage 6.

Entry Points:

  • Raw idea: "description" → start at Discover
  • Issue number: #NNN or NNN → resume from issue's current stage
  • Resume: --resume → continue from last state checkpoint
  • Status: --status / --status #NNN → read-only display

State File: .aod/run-state.json (atomic write-then-rename via run-state.sh)

Section Purpose Location
Step 1: Route by Mode Entry point routing This file
Step 2: Core State Machine Loop Central orchestration logic This file
Plan Substage Tracking Spec → project_plan → tasks This file
Stage Skill Mapping Stage-to-skill invocation table This file
Post-Stage Context Extraction Artifact discovery after each stage This file
Stage Map Display Visual progress indicators This file
Transition Messages Stage transition headers This file
GitHub Integration Label updates after stage completion This file
Error Logging Error/event capture in state file This file
Governance Gate Detection Reading approval/rejection from frontmatter references/governance.md
Governance Tier Light/Standard/Full gate rules references/governance.md
Rejection / Retry / Circuit Breaker / Blocked Governance result handling references/governance.md
New Idea / Issue / Resume / Status Entry Mode-specific handlers references/entry-modes.md
Dry-Run Entry --dry-run preview handler (read-only) references/dry-run.md
Corrupted State / Lifecycle Complete Error and completion handlers references/error-recovery.md

Read the full file on GitHub · 694 lines

Files

What ships with it

4 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 First seen · 694 lines · 72 tokens per session scan A bd890355e021

Subscribe to this mod's changes

~aod-run is a skill published in the GitHub repository davidmatousek/agentic-oriented-development-kit (24 stars, last pushed 3mo ago), licensed MIT. It adds 72 tokens to every session and 10,107 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to ~aod-run, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens