ADR Generator

ADR Generator is an agent for coding agents from archubbuck/workspace-architect. It costs 26 tokens per session (1,462 once invoked), scanned A, a copy of ADR Generator, ISC.

A documentation agent that creates Architectural Decision Records (ADRs): Markdown files explaining an important technical choice, its context, alternatives, and consequences.

In plain words
What is it for?
Use it to collect the required decision information and create the next numbered file in `/docs/adr/`.
Why use it?
It turns scattered decision details into a consistent record that people and coding agents can understand later. It also checks existing ADR numbers so new records fit the project’s sequence.

Agent

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.

agentmods
npx agentmods add agents/archubbuck/workspace-architect/adr-generator
Clone the repo
git clone --depth 1 https://github.com/archubbuck/workspace-architect

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 ADR Generator

README.md
[![agentmods](https://agentmods.dev/badge/agents/archubbuck/workspace-architect/adr-generator.svg)](https://agentmods.dev/agents/archubbuck/workspace-architect/adr-generator)
Your own site
<a href="https://agentmods.dev/agents/archubbuck/workspace-architect/adr-generator"><img src="https://agentmods.dev/badge/agents/archubbuck/workspace-architect/adr-generator.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,462 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00026 $0.01462
Opus 5 $0.00013 $0.00731
Sonnet 5 $0.00005 $0.00292
Haiku 4.5 $0.00003 $0.00146

Measured 4d ago against content hash abbf07c6a768, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ADR Generator 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 4d 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 ADR Generator — 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.

assets/agents/adr-generator.agent.md · 225 lines

How it starts

The opening of the file, as written. The whole thing — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ADR Generator Agent

You are an expert in architectural documentation, this agent creates well-structured, comprehensive Architectural Decision Records that document important technical decisions with clear rationale, consequences, and alternatives.


Core Workflow

1. Gather Required Information

Before creating an ADR, collect the following inputs from the user or conversation context:

  • Decision Title: Clear, concise name for the decision
  • Context: Problem statement, technical constraints, business requirements
  • Decision: The chosen solution with rationale
  • Alternatives: Other options considered and why they were rejected
  • Stakeholders: People or teams involved in or affected by the decision

Input Validation: If any required information is missing, ask the user to provide it before proceeding.

2. Determine ADR Number

  • Check the /docs/adr/ directory for existing ADRs
  • Determine the next sequential 4-digit number (e.g., 0001, 0002, etc.)
  • If the directory doesn't exist, start with 0001

3. Generate ADR Document in Markdown

Create an ADR as a markdown file following the standardized format below with these requirements:

  • Generate the complete document in markdown format
  • Use precise, unambiguous language
  • Include both positive and negative consequences
  • Document all alternatives with clear rejection rationale
  • Use coded bullet points (3-letter codes + 3-digit numbers) for multi-item sections
  • Structure content for both machine parsing and human reference
  • Save the file to /docs/adr/ with proper naming convention

Required ADR Structure (template)

Front Matter

---
title: "ADR-NNNN: [Decision Title]"
status: "Proposed"
date: "YYYY-MM-DD"
authors: "[Stakeholder Names/Roles]"
tags: ["architecture", "decision"]
supersedes: ""
superseded_by: ""
---

Document Sections

Status

Proposed | Accepted | Rejected | Superseded | Deprecated

Use "Proposed" for new ADRs unless otherwise specified.

Read the full file on GitHub · 225 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. 4d ago First seen · 225 lines · 26 tokens per session scan A abbf07c6a768

Subscribe to this mod's changes

ADR Generator is an agent published in the GitHub repository archubbuck/workspace-architect (18 stars, last pushed today), licensed ISC. It adds 26 tokens to every session and 1,462 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ADR Generator, differing in 0 lines, and is treated as a copy.

Related

Other agents, from other repositories

al-conductor

Orchestrates Planning, Implementation, Review, and Commit cycle for AL Development. Enforces TDD and quality gates for Business Central extensions. Use when you need structured TDD orchestration with planning, implementation, and review subagents.

javiarmesto/ALDC-AL-Development-Collection · 51 tokens

al-review-subagent

Internal quality assurance subagent for Business Central AL code. Only invoked by al-conductor via Task tool. Reviews implementation against AL best practices, test coverage, and BC patterns.

javiarmesto/ALDC-AL-Development-Collection · 40 tokens

al-agent-builder

Agent Toolkit Builder specialist in designing and coding Business Central agents using the AI Development Toolkit and Agent SDK. Follows the official Agent Template project structure. Handles both Designer (no-code) and SDK (pro-code) paths. Use when building BC agents or agent SDK integrations.

javiarmesto/ALDC-AL-Development-Collection · 58 tokens

al-triage

Reactive diagnosis specialist for EXISTING Business Central AL code — reproduce, localize, root-cause, and recommend a minimal fix for bugs, regressions, and incidents. Read-only on code: produces a diagnosis and hands the fix to al-developer. The dynamic counterpart to dredd (static audit). Use when you start from a…

javiarmesto/ALDC-AL-Development-Collection · 90 tokens

dredd

Independent, on-demand AL codebase auditor for Business Central. Judges the code against BCQuality (citable knowledge) plus native checks for what BCQuality does not reach, and returns an advisory verdict. Read-only on code. Default scope: objects changed vs main; full codebase on request. The static counterpart to…

javiarmesto/ALDC-AL-Development-Collection · 84 tokens

Copilot Customization Builder

Create and maintain Copilot customizations (agents, prompt files, instructions, skills, hooks, MCP) for VS Code and GitHub Copilot.

trsdn/github-copilot-agent · 35 tokens