architecture-analyzer

A read-only architecture review for backend or full-stack projects. It compares a project's structure with documented design guidelines and writes an analysis report without changing project files.

In plain words
What is it for?
Detecting the project type, auditing its architecture, assigning a score, and recording findings with severity levels in an ANALYSIS.md report.
Why use it?
It gives developers an evidence-based view of structural mismatches before they refactor code. Because it is advisory and non-destructive, the existing project remains unchanged.

Skill for Claude CodeCodex

Part of the aiforging plugin — 3 skills, 5 commands 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/aiforging/aiforging/architecture-analyzer
Any agent
npx skills add aiforging/aiforging --skill architecture-analyzer
Clone the repo
git clone --depth 1 https://github.com/aiforging/aiforging

Made for: Claude Code, Codex.

Or install aiforging, the plugin that ships this one along with the rest of its 3 skills, 5 commands.

Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,444 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 $0.00068 $0.02444
Opus 5 $0.00034 $0.01222
Sonnet 5 $0.00014 $0.00489
Haiku 4.5 $0.00007 $0.00244

Measured 3d ago against content hash e56bd8ec0278, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

architecture-analyzer 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 3d 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.

skills/architecture-analyzer/SKILL.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Architecture Analyzer

Purpose

Read a target project's current shape and compare it against the AI Forging architectural ideals documented in ${CLAUDE_PLUGIN_ROOT}/conventions/architecture/ and ${CLAUDE_PLUGIN_ROOT}/conventions/tdd/. Produce a clear, honest report the user can act on.

This skill is read-only. It never creates, edits, deletes, or moves files in the target project. If a user asks the skill to "fix" what it found, refer them to /aiforging:execute-plan (which is deferred for v0.1.0) or to manual refactoring with the pattern library.

When to activate

  • Invoked explicitly by /aiforging:setup Step 5 against each confirmed backend or fullstack project.
  • Invoked directly by a user who wants a standalone audit without re-running setup.

Inputs

  • Target project root: absolute path to the project to analyze. Required.
  • Detected ProjectInfo: the JSON blob from scripts/detect-project.py, if already available. If not, the skill runs the detector first.

Outputs

Write the report to <target>/.aiforging/ANALYSIS.md. Also return a concise top-line summary (score + top 3 findings) to the caller for inline display.

The report has this shape:

# AI Forging Architecture Analysis

**Project:** <name>
**Path:** <abs path>
**Stack:** <detected stack, e.g., symfony-php + doctrine + phpunit>
**Analyzed:** <ISO date>
**Score:** <0-10>

## Summary

<2-3 sentences on the overall shape. What's healthy, what's not.>

## Findings

<One section per finding, ordered by severity (critical → high → medium → low → info).>

### [<severity>] <Finding title>

**What we saw:**
<Concrete evidence with file paths and line numbers or quoted snippets.>

**Why it matters:**
<One paragraph referencing the relevant AI Forging convention doc.>

**How to fix it:**
<High-level refactor direction. Do NOT write patch/code.>

**Related conventions:**
- `conventions/architecture/<relevant-doc>.md`
- `conventions/refactoring/anti-patterns/<relevant>.md`

## Checklist

<Yes/No table of the capability contract items, see below.>

## Next

The proposed plan for remediation will be written to
`<target>/.aiforging/PROPOSED_PLAN.md` by `/aiforging:setup` Step 6.

Read the full file on GitHub · 192 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. 3d ago First seen · 192 lines · 68 tokens per session scan A e56bd8ec0278

Subscribe to this mod's changes

architecture-analyzer is a skill published in the GitHub repository aiforging/aiforging (4 stars, last pushed 20d ago), licensed MIT. It adds 68 tokens to every session and 2,444 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.

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