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Adr Reviewer

Community
harumiWeb
adr-reviewer

Review an ExStruct ADR draft for decision quality, overlap with existing ADRs and specs, evidence strength, rollout risk, and human-ownership escalations. Use only after adr-linter reports no unresolved high/medium findings on the current draft, and when you need design-review findings before merge or handoff.

Overview

PublisherharumiWeb
Repositoryexstruct
Skill nameadr-reviewer
Stars
204
Forks
31
Bundled files
1
LicenseBSD-3-Clause
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by harumiWeb on GitHub. Read the source before you install it.

Installation

Install the Adr Reviewer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/harumiWeb/exstruct/tree/main/.agents/skills/adr-reviewer
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/harumiWeb/exstruct.git /tmp/exstruct
mkdir -p .claude/skills
cp -r /tmp/exstruct/.agents/skills/adr-reviewer .claude/skills/adr-reviewer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Adr Reviewer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Adr Reviewer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Adr Reviewer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

ADR Reviewer

Review the policy decision, not just the document shape.

Read

  1. dev-docs/agents/adr-governance.md
  2. dev-docs/agents/adr-criteria.md
  3. dev-docs/agents/adr-workflow.md
  4. dev-docs/specs/adr-review.md
  5. The target ADR draft
  6. Related ADRs, relevant public docs under docs/ when public API / CLI / MCP contracts are in scope, internal specs, tests, src paths, and issue / PR context
  7. Existing adr-linter findings for the current draft

Workflow

  1. Confirm the current draft has no unresolved adr-linter high / medium findings. Only proceed with design review after that precondition is met.
  2. Read the ADR draft and identify the single policy question it is trying to resolve.
  3. Check whether the draft overlaps with, contradicts, or should supersede an existing ADR or spec.
  4. Verify that the cited Tests, Code, and Related specs actually support the claims being made, and include relevant public docs/ pages in scope when the ADR touches public API / CLI / MCP contracts.
  5. Review whether compatibility, rollout, fallback, migration, or safety consequences are covered when relevant.
  6. Detect human-owned decisions that AI should not settle, including public API break judgment, security or license calls, major directory reorganization, or unresolved product/spec direction.
  7. Return one verdict:
    • ready
    • revise
    • escalate

Output Contract

Return findings first, ordered by severity, and include:

  • verdict
  • scope
    • draft
    • related ADRs
    • public docs
    • specs
    • src
    • tests
    • issue / PR context
  • findings

Each finding should include:

  • type
    • decision-gap
    • scope-conflict
    • evidence-risk
    • rollout-gap
    • ownership-escalation
  • severity
  • summary
  • why it matters
  • suggested revision
  • evidence
    • draft
    • related sources

Also include top-level:

  • open questions
  • residual risks

Do not silently rewrite the ADR text. If the review hits a human-owned decision, return escalate instead of inventing a final policy.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Adr Reviewer AI skill do?

Review an ExStruct ADR draft for decision quality, overlap with existing ADRs and specs, evidence strength, rollout risk, and human-ownership escalations. Use only after adr-linter reports no unresolved high/medium findings on the current draft, and when you need design-review findings before merge or handoff.

Why use Adr Reviewer on TypingMind?

Because you install it once and use it with any model. Adr Reviewer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Adr Reviewer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/harumiWeb/exstruct/tree/main/.agents/skills/adr-reviewer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Adr Reviewer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Adr Reviewer?

As many as you like. As long as a model supports skills, you can use Adr Reviewer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Adr Reviewer AI skill free?

Yes. It is published on GitHub by harumiWeb under the BSD-3-Clause license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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