audit-adr

audit-adr is a skill for Claude Code from GoogilyBoogily/googilyboogily-claude-power-tools. It costs 46 tokens per session (1,480 once invoked), scanned A, original, MIT.

A review tool for an Architecture Decision Record (ADR), a document that records a technical decision. It checks the document against the MADR 4.0.0 format, its sources, completeness, and internal consistency.

In plain words
What is it for?
Use it to audit an ADR, optionally comparing it with the context file used to create it. It walks through findings and offers resolution choices, including code and web research.
Why use it?
It helps catch unsupported claims, missing sections, contradictions, and unresolved placeholders before the decision is relied on.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; names the AskUserQuestion tool.

Part of the architecture-docs plugin — 19 skills shipped together

Good fit Use it to audit an ADR, optionally comparing it with the context file used to create it. It walks through findings and offers resolution choices, including code and web research.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/googilyboogily/googilyboogily-claude-power-tools/audit-adr
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 GoogilyBoogily/googilyboogily-claude-power-tools --skill audit-adr
Clone the repo
git clone --depth 1 https://github.com/GoogilyBoogily/googilyboogily-claude-power-tools

Made for: Claude Code.

Or install architecture-docs, the plugin that ships this one along with the rest of its 19 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 audit-adr

README.md
[![agentmods](https://agentmods.dev/badge/skills/googilyboogily/googilyboogily-claude-power-tools/audit-adr/github.svg)](https://agentmods.dev/skills/googilyboogily/googilyboogily-claude-power-tools/audit-adr)
Your own site
<a href="https://agentmods.dev/skills/googilyboogily/googilyboogily-claude-power-tools/audit-adr"><img src="https://agentmods.dev/badge/skills/googilyboogily/googilyboogily-claude-power-tools/audit-adr/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 audit-adr

Your own site · 80×15
<a href="https://agentmods.dev/skills/googilyboogily/googilyboogily-claude-power-tools/audit-adr"><img src="https://agentmods.dev/badge/skills/googilyboogily/googilyboogily-claude-power-tools/audit-adr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,480 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 $0.00046 $0.01480
Opus 5 $0.00023 $0.00740
Sonnet 5 $0.00009 $0.00296
Haiku 4.5 $0.00005 $0.00148

Measured 12d ago against content hash 29bfed50575a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

audit-adr 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 12d 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/architecture-docs/skills/audit-adr/SKILL.md · 191 lines

How it starts

The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ADR Audit

Audit an Architecture Decision Record for quality, completeness, and correctness. Each issue is presented to the user one at a time with multiple resolution options, always including a research option that forks parallel code + web research agents.

Input

$ARGUMENTS — path to the ADR document, and optionally --context <path> to the context file from the gather phase.

Parse Arguments

Extract from $ARGUMENTS:

  • ADR Path: First non-flag argument
  • Context File Path: --context <path> (optional, enables context fidelity checks)

Process

Phase 1: Load Documents

  1. Read the ADR at the provided path.
  2. If --context provided, read the context file.
  3. Read the audit checklist at ${CLAUDE_SKILL_DIR}/references/checklist.md.

Phase 2: Run All Checks

Run every check from the checklist against the ADR. For each check, record:

  • Check name and category
  • Status: PASS, WARN, or FAIL
  • Details: What was found (or not found)
  • Severity: 🔴 CRITICAL, 🟡 WARNING, or 🔵 INFO
  • Suggested fix: How to resolve

Also scan for open questions: TODO, TBD, FIXME, [ASSUMPTION], vague/placeholder text, or any unresolved items.

Build a prioritized issue queue ordered:

  1. 🔴 CRITICAL issues first
  2. 🟡 WARNING issues next
  3. 🔵 INFO issues last
  4. ❓ Open Questions last

Phase 3: Present Summary

Show the user the full breakdown before diving in:

## ADR Audit Summary: [ADR Title]

**Document:** [path]
**Context file:** [path or "not provided"]

Found **N issues** and **M open questions**:
- 🔴 CRITICAL: [count] — must fix before proceeding
- 🟡 WARNING: [count] — should fix
- 🔵 INFO: [count] — optional improvements
- ❓ Open Questions: [count]

Starting sequential resolution...

If zero issues found, skip to Phase 5 with a PASS verdict.

Phase 4: Sequential Resolution

For each issue/question in the queue, present it with resolution options using AskUserQuestion.

Format for each issue:

Read the full file on GitHub · 191 lines

Files

What ships with it

1 file 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. 12d ago First seen · 191 lines · 46 tokens per session scan A 29bfed50575a

Subscribe to this mod's changes

audit-adr is a skill published in the GitHub repository GoogilyBoogily/googilyboogily-claude-power-tools (2 stars, last pushed 4mo ago), licensed MIT. It adds 46 tokens to every session and 1,480 once invoked, about $0.0002 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 2026-08-31.

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