Atlas / Skills / codenamev / ai-software-architect

ai-software-architectSAFE

skills/codenamev/ai-software-architect

AI-powered architecture documentation framework with ADRs, reviews, and pragmatic mode. Now available as Claude Code Plugin for easiest installation.

Verdict
SAFE
Grade
B
Trust score
88 /100
Version
—
Hosts
4 documented
License
—
Stars
78
01

Overview

From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.

A markdown-based framework for implementing rigorous software architecture practices in any project, with specialized AI assistant integration.

Introducing AI Software Architect 🚀 - Watch Video

Overview

This framework provides a structured approach to:

  1. Architecture Documentation - Templates and processes for documenting architectural decisions
  2. Architecture Reviews - A multi-perspective review process with specialized reviewers
  3. Architecture Recalibration - Process for translating reviews into concrete implementation plans
  4. Progress Tracking - Tools for monitoring the implementation of architectural changes
  5. AI Integration - Seamless collaboration with AI coding assistants

For detailed usage instructions, see USAGE.md. For troubleshooting and advanced usage, see TROUBLESHOOTING.md.

Installation

Choose the installation method for your AI assistant:

Claude Code Installation

Claude Code supports three installation methods:

Option 1: Claude Code Plugin (Recommended) 🆕

Install via the Claude Code plugin system with automatic updates:

# In Claude Code, run these commands:
/plugin marketplace add codenamev/ai-software-architect
/plugin install ai-software-architect@ai-software-architect

That's it! The framework is now available in all your projects — including the seven skills, MCP server, and generated subagents as a single unit.

See USAGE-WITH-CLAUDE-PLUGIN.md for detailed installation guide, troubleshooting, and comparison with other methods.

Benefits: Simplest installation, automati

Read from source at commit a47c1864f3afOBSERVED · 2026-10-10
02

Install

Commands as the repository documents them. They are shown, not run.

git clone https://github.com/codenamev/ai-software-architect /tmp/ai-architect-$$
git clone https://github.com/codenamev/ai-software-architect .architecture
npm install -g ai-software-architect
git clone https://github.com/codenamev/ai-software-architect /tmp/ai-architect-$$
git clone https://github.com/codenamev/ai-software-architect
npm install  # Required before the first run
03

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
claude-codementioned
codexmentioned
copilotmentioned
cursormentioned
04

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: architecture-review
description: Conducts a comprehensive multi-perspective architecture review using ALL architecture team members. Use when the user requests "Start architecture review", "Full architecture review", "Review architecture for version X.Y.Z", "Conduct comprehensive review", or when they want assessment from multiple perspectives. Do NOT use for single-specialist reviews (use specialist-review instead) or for status checks (use architecture-status instead).
allowed-tools: Read,Write,Glob,Grep,Bash(git:*),Agent
---

# Architecture Review (orchestrator)

Comprehensive multi-perspective architecture review. This skill is an **orchestrator** — it dispatches one subagent invocation per active team member in parallel, then aggregates the returned reviews into a consolidated document. The deep-perspective work happens in the subagents (`agents/<id>.md`), not in this skill's main thread.

See [ADR-013](../../.architecture/decisions/adrs/ADR-013-skill-orchestrator-subagent-delegation.md) for the rationale.

## Process

### 1. Determine scope

Identify the review target from the user's request:
- **Version** — "version 2.0.0" → filename `2-0-0.md`
- **Feature** — "authentication feature" → filename `feature-authentication.md`
- **Component** — "payments module" → filename `component-payments-module.md`

Apply input sanitization from [`../_patterns.md`](../_patterns.md). If the scope is ambiguous, ask one clarifying question and stop.

### 2. Load team and config

Read `.architecture/config.yml` and `.architecture/members.yml`:

- `config.yml.pragmatic_mode.enabled` decides whether to include the `pragmatic_enforcer` subagent.
- `members.yml.members[]` is the list of subagents to dispatch.

Each member's `id` (e.g., `security_specialist`) maps to `agents/<kebab-id>.md` (e.g., `agents/security-specialist.md`). The drift check in CI guarantees these files exist and are in sync.

**Active set**: every member in `members.yml`, **excluding** `pragmatic_enforcer` if `config.yml.pragmatic_mode.enabled == false`.

### 3. Optional pre-analysis (orchestrator-side)

For broad reviews, an initial scan helps the orchestrator give every subagent a shared starting context. Use `Glob`, `Grep`, and `Bash(git:*)` (e.g., `git log --oneline -20`, `git diff main...HEAD --stat`) to assemble a short brief: target description, recent activity, key files. Keep this brief under ~500 tokens — it's a shared header, not a review.

If the review target is narrow (a single feature or ADR), this step can be skipped.

### 4. Dispatch subagents in parallel

Issue **one Agent call per active member, all in the same response** (parallel dispatch is the documented best practice for independent work):

```
Agent({
  subagent_type: "<kebab-id>",
  description: "<Title> review of <target>",
  prompt: <see template below>
})
```

**Prompt template** (used for every subagent — vary only the `<target>` and the optional shared brief):

```
Conduct a focused review of: <target>.

<optional shared brief from step 3>

Apply your perspective (your subagent file lists your specialty,
disciplines, skillsets, and domains). Stay within your specialty —
other team members are reviewing concurrently and will cover their
own areas.

Return a markdown review with:
- Perspective statement (1-2 sentences from your unique vantage)
- Key observations (3-5)
- Strengths within your domain (3-5)
- Concerns with severity (critical / high / medium / low), each with
  location (file:line where applicable), why-it-matters, concrete fix
- Recommendations, ordered: immediate / short-term / long-term, with
  rough effort estimates (S/M/L)
- Risks if unaddressed

Read code, configs, and ADRs as needed via your scoped tools. Cite
exact file paths and line numbers. Do not range outside your
specialty.
```

For `pragmatic_enforcer` (when included), append: `Apply the Pragmatic Enforcer Analysis structure from .architecture/templates/adr-template.md (Necessity, Complexity, Ratio, Recommendation).`

### 5. Aggregate

When all subagent calls return, build the consolidated review:

1. **Cross-cut analysis** — identify themes that appear in 3+ subagent reviews (these are the high-leverage findings).
2. **Conflict resolution** — when two subagents disagree (e.g., security wants strict validation, performance wants minimal overhead), surface the disagreement explicitly under "Trade-offs" rather than picking a winner. Naming the trade-off is the value.
3. **Prioritization** — bucket every concern into Critical (0-2 weeks) / Important (2-8 weeks) / Nice-to-Have (2-6 months) based on the subagents' severity ratings and the cross-cut analysis.
4. **Verbatim per-perspective sections** — preserve each subagent's full review under a per-member section. This is the source data; aggregation summarizes but does not replace it.

### 6. Write the consolidated review

Use [the review template](assets/review-template.md). Key sections:

- Executive summary (3-5 sentences, overall assessment + top concerns)
- Individual member reviews (verbatim from step 5.4)
- Cross-cutting themes (from step 5.1)
- Trade-offs and disagreements (from step 5.2)
- Prioritized recommendations (from step 5.3)
- Risks if unaddressed (highest-severity items)
- Success metrics and follow-up plan

Save to `.architecture/reviews/<filename>` (filename from step 1).

If pragmatic mode is enabled, ensure the `pragmatic_enforcer` review's Necessity / Complexity / Ratio analysis is surfaced in the executive summary, not buried in the member section. See [`references/pragmatic-integration.md`](references/pragmatic-integration.md).

### 7. Report to the user

```
Architecture Review Complete: <target>

Location: .architecture/reviews/<filename>
Overall Assessment: <Strong | Adequate | Needs Improvement>

Top 3 priorities:
1. <Critical priority>
2. <Critical priority>
3. <Important priority>

Immediate actions:
- <Highest-severity concrete fix>
- <Next>

Cross-cutting themes:
- <Theme that appeared in 
05

Trust audit

SAFEgrade B · trust 88/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
not all pinned
Secrets in source
none-found

Findings (14)

LOWInventory / provenance · inv.no_license · CWE-1104
Why it matters. no LICENSE file and no repo licence
Fix. add a licence
LOWInventory / provenance · inv.symlink · CWE-1104
.coding-assistants/claude-code/claude-code.md
.coding-assistants/claude-code/claude-code.md
Why it matters. link not followed
LOWFilesystem / path · fs.traversal · CWE-22, CWE-59
.github/workflows/codex-tests.yml:56
cp -r ../../.architecture ./.architecture
LOWFilesystem / path · fs.traversal · CWE-22, CWE-59
.github/workflows/codex-tests.yml:57
cp -r ../../.coding-assistants ./.coding-assistants
LOWFilesystem / path · fs.traversal · CWE-22, CWE-59
tools/test/configure-pragmatic-mode.test.js:7
import { ArchitectureServer } from '../../mcp/index.js';
LOWFilesystem / path · fs.traversal · CWE-22, CWE-59
tools/test/setup-fidelity.test.js:8
import { ArchitectureServer, renderAdrFromTemplate } from '../../mcp/index.js';
LOWFilesystem / path · fs.traversal · CWE-22, CWE-59
tools/test/subagent-generator.test.js:30
const result = generateSubagent({ ...SAMPLE_MEMBER, id: '../../.claude/hooks/evil' });
LOWSupply chain · supply.unpinned · CWE-829, CWE-1357
mcp/package.json
@modelcontextprotocol/sdk, yaml, fs-extra, @types/node
Why it matters. 4 dependency range(s) float
Fix. pin exact versions or ship a lockfile
LOWSupply chain · supply.unpinned · CWE-829, CWE-1357
tools/package.json
yaml
Why it matters. 1 dependency range(s) float
Fix. pin exact versions or ship a lockfile
LOWPrompt injection · prompt.authority_framing · CWE-94, CWE-1427
.architecture/comparisons/claude-skills-deep-dive-comparison.md:41
- **Security**: No tool restrictions (implicit full access)
LOWPrompt injection · prompt.authority_framing · CWE-94, CWE-1427
.architecture/comparisons/claude-skills-deep-dive-comparison.md:77
- Issue: No `allowed-tools` in frontmatter means implicit full access
LOWPrompt injection · prompt.authority_framing · CWE-94, CWE-1427
.architecture/decisions/adrs/ADR-007-tool-permission-restrictions-for-skills.md:9
Our Claude Skills currently have implicit unlimited access to all available tools (Read, Write, Edit, Bash, Glob, Grep, etc.). When a skill is activated, it can use any tool without restriction. This
LOWPrompt injection · prompt.authority_framing · CWE-94, CWE-1427
.architecture/decisions/adrs/ADR-007-tool-permission-restrictions-for-skills.md:17
- Implicit full access to Read, Write, Edit, Bash, Glob, Grep, etc.
LOWPrompt injection · prompt.authority_framing · CWE-94, CWE-1427
.architecture/decisions/adrs/ADR-007-tool-permission-restrictions-for-skills.md:69
# setup-architect - Full access (installation requires broad permissions)

Gates applied: no_behavioural_pass, no_license.

Audited 2026-10-10 · audit v0.4.1 · source sha a47c1864f3affull audit observations/trust-audit/skill/codenamev__ai-software-architect.json · Report an issue / request a re-scan
06

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-10a47c1864f3afSAFEB88first audit
07

Questions

What does the ai-software-architect skill do?

AI-powered architecture documentation framework with ADRs, reviews, and pragmatic mode. Now available as Claude Code Plugin for easiest installation.

Is ai-software-architect safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (88/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can ai-software-architect access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does ai-software-architect work with?

Its documentation mentions claude-code, codex, copilot and cursor. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (a47c1864f3af), read on 2026-10-10. The repository is watched, and a new audit runs when it changes — this is the first audit.

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