030-architecture-adr-general

030-architecture-adr-general is a skill for Claude Code, Codex from jabrena/cursor-rules-examples. It costs 56 tokens per session (379 once invoked), scanned A, original, Apache-2.0.

An interactive guide for creating Architecture Decision Records (ADRs), written documents that explain important software choices in a Java project.

In plain words
What is it for?
Use it to document why a Java architecture decision was made and produce an ADR using the MADR template.
Why use it?
It helps collect the needed background, people involved, alternatives, trade-offs, decision, and consequences in a consistent format. It also requires the project to pass Maven validation before creating the record.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to document why a Java architecture decision was made and produce an ADR using the MADR template.

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Install with agentmods
npx agentmods add skills/jabrena/cursor-rules-examples/030-architecture-adr-general
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 jabrena/cursor-rules-examples --skill 030-architecture-adr-general
Clone the repo
git clone --depth 1 https://github.com/jabrena/cursor-rules-examples

Made for: Claude Code, Codex.

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.

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README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/jabrena/cursor-rules-examples/030-architecture-adr-general"><img src="https://agentmods.dev/badge/skills/jabrena/cursor-rules-examples/030-architecture-adr-general.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 379 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 $0.00056 $0.00379
Opus 5 $0.00028 $0.00189
Sonnet 5 $0.00011 $0.00076
Haiku 4.5 $0.00006 $0.00038

Measured 9d ago against content hash d15aae2d4d4f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

030-architecture-adr-general 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 9d 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.

.agents/skills/030-architecture-adr-general/SKILL.md · 38 lines

What it actually says

Java ADR Generator with interactive conversational approach

Generate Architecture Decision Records (ADRs) for Java projects through an interactive, conversational process that systematically gathers all necessary context to produce well-structured ADR documents. This is an interactive SKILL.

What is covered in this Skill?

  • ADR file storage configuration
  • Conversational information gathering: context, stakeholders, decision drivers, options with pros/cons, outcome, consequences
  • MADR template generation
  • Validation with ./mvnw validate or mvn validate before proceeding

Constraints

Before applying any ADR generation, ensure the project validates. If validation fails, stop immediately — do not proceed until all validation errors are resolved.

  • MANDATORY: Run ./mvnw validate or mvn validate before applying any ADR generation
  • SAFETY: If validation fails, stop immediately — do not proceed until all validation errors are resolved
  • BEFORE APPLYING: Read the reference for detailed good/bad examples, constraints, and safeguards for each ADR generation pattern

When to use this skill

  • Generate ADR
  • Create Architecture Decision Record
  • Document architecture decision
  • Architecture Decision Record for Java

Reference

For detailed guidance, examples, and constraints, see references/030-architecture-adr-general.md.

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. 9d ago First seen · 38 lines · 56 tokens per session scan A d15aae2d4d4f

Subscribe to this mod's changes

030-architecture-adr-general is a skill published in the GitHub repository jabrena/cursor-rules-examples (2 stars, last pushed 13d ago), licensed Apache-2.0. It adds 56 tokens to every session and 379 once invoked, about $0.0003 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.