adr-writing

adr-writing is a skill for Claude Code, Codex from existential-birds/beagle. It costs 104 tokens per session (1,733 once invoked), scanned A, original, Apache-2.0.

A guide for writing Architectural Decision Records (ADRs), which are short documents explaining important technical choices and their reasons.

In plain words
What is it for?
Use it to turn requirements, design documents, meeting notes, or pull request discussions into MADR-formatted decision records and check their completeness.
Why use it?
It helps teams record decisions consistently and find missing information before treating an ADR as complete.

Skill for Claude CodeCodex

Part of the beagle-analysis plugin — 14 skills shipped together

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 skills/existential-birds/beagle/adr-writing
Any agent
npx skills add existential-birds/beagle --skill adr-writing
Clone the repo
git clone --depth 1 https://github.com/existential-birds/beagle

Made for: Claude Code, Codex.

Or install beagle-analysis, the plugin that ships this one along with the rest of its 14 skills.

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-writing

README.md
[![agentmods](https://agentmods.dev/badge/skills/existential-birds/beagle/adr-writing.svg)](https://agentmods.dev/skills/existential-birds/beagle/adr-writing)
Your own site
<a href="https://agentmods.dev/skills/existential-birds/beagle/adr-writing"><img src="https://agentmods.dev/badge/skills/existential-birds/beagle/adr-writing.svg" alt="Measured on agentmods" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,733 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00104 $0.01733
Opus 5 $0.00052 $0.00866
Sonnet 5 $0.00021 $0.00347
Haiku 4.5 $0.00010 $0.00173

Measured 5d ago against content hash 693349913dea, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

adr-writing 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 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/next_adr_number.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/beagle-analysis/skills/adr-writing/SKILL.md · 223 lines

How it starts

The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ADR Writing

Overview

Generate Architectural Decision Records (ADRs) following the MADR template with systematic completeness checking.

Quick Reference

┌─────────────┐     ┌──────────────┐     ┌─────────────┐
│  SEQUENCE   │ ──▶ │   EXPLORE    │ ──▶ │    FILL     │
│  (get next  │     │  (context,   │     │  (template  │
│   number)   │     │   ADRs)      │     │   sections) │
└─────────────┘     └──────────────┘     └─────────────┘
       │                                        │
       │                                        ▼
       │                                 ┌─────────────┐
       │                                 │   VERIFY    │
       │                                 │  (DoD       │
       └─────────────────────────────────│   checklist)│
                                         └─────────────┘

When To Use

  • Documenting architectural decisions from extracted requirements
  • Converting meeting notes or discussions to formal ADRs
  • Recording technical choices from PR discussions
  • Creating decision records from design documents

Workflow

Gates (objective pass conditions)

Advance to the next step only when the pass condition holds. These replace “I explored” / “I verified” with checkable artifacts.

After Pass condition
Step 2 Pass: You have a written list (bullets in draft preamble, scratch notes, or the ADR body) of ≥0 paths under docs/adrs/ you consulted for related/superseded ADRs, or you explicitly record that docs/adrs/ is missing or empty after checking. And you list ≥1 repo path for related code or N/A with one-line reason.
Step 5 Pass: For each E, C, A, D, R in references/definition-of-done.md, the draft either meets that letter’s checklist or contains an [INVESTIGATE: …] marker scoped to that gap.
Step 7 Pass: The ADR file exists at docs/adrs/NNNN-slugified-title.md, and a read of the file shows line 1 is --- and frontmatter parses as YAML.

Read the full file on GitHub · 223 lines

Files

What ships with it

3 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. 5d ago First seen · 223 lines · 104 tokens per session scan A 693349913dea

Subscribe to this mod's changes

adr-writing is a skill published in the GitHub repository existential-birds/beagle (80 stars, last pushed 26d ago), licensed Apache-2.0. It adds 104 tokens to every session and 1,733 once invoked, about $0.0005 per session on Opus 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 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

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

obra/superpowers · 21 tokens

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

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

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens