architecture-decision-records

architecture-decision-records is a skill for Claude Code from yeaight7/agent-powerups. It costs 42 tokens per session (671 once invoked), scanned A, original, Apache-2.0.

A short record of an important software architecture decision, including the alternatives and constraints behind it. Architecture is the high-level structure and design of a software system.

In plain words
What is it for?
Use it when choosing, revisiting, reversing, or superseding a major technology or structural design decision. The record is kept in an architecture-decision-records directory.
Why use it?
It preserves why a choice was made so future maintainers or coding agents do not unknowingly undo it or repeat rejected approaches.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the documentation-systems plugin — 7 skills, 3 commands shipped together

Good fit Use it when choosing, revisiting, reversing, or superseding a major technology or structural design decision. The record is kept in an architecture-decision-records directory.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yeaight7/agent-powerups/architecture-decision-records
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 yeaight7/agent-powerups --skill architecture-decision-records
Clone the repo
git clone --depth 1 https://github.com/yeaight7/agent-powerups

Made for: Claude Code.

Or install documentation-systems, the plugin that ships this one along with the rest of its 7 skills, 3 commands.

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 architecture-decision-records

README.md
[![agentmods](https://agentmods.dev/badge/skills/yeaight7/agent-powerups/architecture-decision-records/github.svg)](https://agentmods.dev/skills/yeaight7/agent-powerups/architecture-decision-records)
Your own site
<a href="https://agentmods.dev/skills/yeaight7/agent-powerups/architecture-decision-records"><img src="https://agentmods.dev/badge/skills/yeaight7/agent-powerups/architecture-decision-records/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 architecture-decision-records

Your own site · 80×15
<a href="https://agentmods.dev/skills/yeaight7/agent-powerups/architecture-decision-records"><img src="https://agentmods.dev/badge/skills/yeaight7/agent-powerups/architecture-decision-records.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 671 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 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 $0.00042 $0.00671
Opus 5.5 $0.00017 $0.00268
Sonnet 5.5 $0.00008 $0.00134
Haiku 4.5 $0.00004 $0.00067

Measured 1mo ago against content hash 7c9bdbe0b4fa, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

architecture-decision-records 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.

plugins/documentation-systems/skills/architecture-decision-records/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Code tells you how a system works. ADRs tell you why it works that way, preventing future maintainers (and AI agents) from suggesting "improvements" that were already tried and discarded.

When to Use

  • Finalizing a major design decision (e.g., "Choosing Postgres over MongoDB", "Using custom event bus over Redis")
  • Reversing or superseding a previous decision
  • A reviewer or agent proposes a change that contradicts an existing constraint

Inputs

  • The decision, the alternatives considered, and the constraints that drove it
  • The ADR directory (conventionally docs/adr/)

Workflow

  1. Check for an existing ADR first — the decision may already be recorded or superseded:

    ls docs/adr/                          # existing records
    rg -ln "<topic keyword>" docs/adr/    # is this decision already covered?
    
  2. Create the record at docs/adr/YYYY-MM-DD-<short-title>.md — date-prefixed for ordering, kebab-case title.

  3. Fill the structure — keep it under 300 words; focus on constraints, not theory:

    # <Decision title>
    
    ## Status
    Accepted | Superseded by <newer ADR filename>
    
    ## Context
    What is the problem? What constraints apply?
    
    ## Decision
    What are we doing?
    
    ## Consequences
    What trade-offs are we accepting? What becomes harder?
    
  4. Handle supersession explicitly. When reversing a decision, do NOT edit history: write a new ADR, mark the old one "Superseded by" with a link to the new file, and state what changed.

  5. Link from where the decision bites — a one-line pointer near the affected module or in the architecture doc, so the why is discoverable from the how.

Output

  • A dated ADR file with Status / Context / Decision / Consequences
  • Superseded ADRs updated with forward links — never deleted or rewritten

Verification

  • File saved under docs/adr/ with a date-prefixed kebab-case name
  • Status, Context, Decision, and Consequences sections all present; body under ~300 words
  • Consequences state real trade-offs, not just benefits
  • Superseded decisions marked and forward-linked, not edited or removed
  • Decision discoverable from the affected code or architecture doc

Read the full file on GitHub · 73 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 · 73 lines · 42 tokens per session scan A 7c9bdbe0b4fa

Subscribe to this mod's changes

architecture-decision-records is a skill published in the GitHub repository yeaight7/agent-powerups (6 stars, last pushed 19d ago), licensed Apache-2.0. It adds 42 tokens to every session and 671 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-14.