~aod-project-plan

~aod-project-plan is a skill for Claude Code from davidmatousek/agentic-oriented-development-kit. It costs 59 tokens per session (1,850 once invoked), scanned A, a copy of ~aod-project-plan, MIT.

A checker for architecture plans, which document how a software feature will be built. It reviews files such as plan.md for the technology choices, APIs, database design, security, project structure, and fit with the feature specification.

In plain words
What is it for?
Use it to validate a feature's architecture plan, check required sections, and review technical decisions before coding.
Why use it?
It catches missing or weak planning details before implementation begins, reducing the chance of building from an incomplete design.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions CLAUDE.md; names the TodoWrite tool.

Good fit Use it to validate a feature's architecture plan, check required sections, and review technical decisions before coding.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/davidmatousek/agentic-oriented-development-kit/aod-project-plan
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 davidmatousek/agentic-oriented-development-kit --skill aod-project-plan
Clone the repo
git clone --depth 1 https://github.com/davidmatousek/agentic-oriented-development-kit

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-project-plan

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/davidmatousek/agentic-oriented-development-kit/aod-project-plan"><img src="https://agentmods.dev/badge/skills/davidmatousek/agentic-oriented-development-kit/aod-project-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,850 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 $0.00059 $0.01850
Opus 5.5 $0.00024 $0.00740
Sonnet 5.5 $0.00012 $0.00370
Haiku 4.5 $0.00006 $0.00185

Measured 1mo ago against content hash d042b8f306cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

~aod-project-plan 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-project-plan — 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-project-plan/SKILL.md · 263 lines

How it starts

The opening of the file, as written. The whole thing — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Architecture Validator Skill

Purpose

Automatically validates architecture documentation (plan.md) for completeness, technical rigor, and alignment with feature specifications. Implements FR-006 from the feature specification.

How It Works

Step 1: Locate Architecture Plan

  • Search for specs/*/plan.md files
  • If specific feature directory provided, validate that plan.md
  • Report if plan.md not found

Step 2: Validate Required Sections

Check for mandatory sections per AOD plan template:

Technical Context (Required)
  • Language/Version
  • Primary Dependencies
  • Storage solution
  • Testing approach
  • Target Platform
  • Project Type
  • Performance Goals
  • Constraints
  • Scale/Scope
Constitution Check (Required)
  • All 7 constitutional principles validated
  • Evidence for each principle
  • Violations justified (if any)
Project Structure (Required)
  • Documentation structure
  • Source code structure
  • File organization
Technology Stack (Required)
  • Languages and versions
  • Frameworks and libraries
  • Database and storage
  • Infrastructure components

Step 3: Check Technical Decisions

Verify technical decisions are documented:

  • data-model.md: Entity definitions and relationships
  • contracts/: API specifications (if applicable)
  • research.md: Technical unknowns resolved

Step 4: Validate Spec Alignment

  • Compare plan.md with spec.md
  • Check all functional requirements addressed
  • Verify success criteria have implementation strategy
  • Ensure out-of-scope items respected

Step 5: Security Architecture Check

Verify security considerations documented:

  • Authentication approach
  • Authorization model
  • Data protection strategy
  • API security measures
  • Secrets management

Step 6: Generate Validation Report

✅ Architecture Validation Report

File: specs/{feature-id}/plan.md

Required Sections:
- [✓/✗] Technical Context
- [✓/✗] Constitution Check (7/7 principles)
- [✓/✗] Project Structure
- [✓/✗] Technology Stack

Design Artifacts:
- [✓/✗] data-model.md (entities defined)
- [✓/✗] contracts/ (API specs)
- [✓/✗] research.md (decisions documented)

Quality Checks:
- [✓/✗] All FRs from spec.md addressed
- [✓/✗] Security architecture documented
- [✓/✗] Performance targets specified
- [✓/✗] Complexity justified

Status: READY / NOT READY

Issues Found:
1. [Issue description]
2. [Issue description]

Recommendations:
- [Specific action to resolve each issue]

Read the full file on GitHub · 263 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 · 263 lines · 59 tokens per session scan A d042b8f306cf

Subscribe to this mod's changes

~aod-project-plan is a skill published in the GitHub repository davidmatousek/agentic-oriented-development-kit (24 stars, last pushed 3mo ago), licensed MIT. It adds 59 tokens to every session and 1,850 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to ~aod-project-plan, 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