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Architecture Validation

skill-d-o-hub-rust-self-learning-memory-architecture-validation · by d-o-hub

Dynamically validate that the implemented codebase matches architectural decisions documented in plan files. Use when validating implementation matches planning documents, checking for architecture drift, or preparing for architecture reviews.

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Install

$ agentstack add skill-d-o-hub-rust-self-learning-memory-architecture-validation

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

✓ Prompt-injection patterns
✓ Secret / credential exfiltration
✓ Dangerous shell & filesystem operations
✓ Untrusted network calls
✓ Known-malicious package signatures

What it can access

✓ Network access No
✓ Filesystem access No
✓ Shell / process execution No
✓ Environment & secrets No
✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Architecture Validation Skill

Dynamically validate that the implemented codebase matches architectural decisions documented in plan files.

Quick Reference

[Dimensions](dimensions.md) - What gets validated (components, dependencies, APIs, etc.)
[Workflow](workflow.md) - Step-by-step validation process
[Extraction Patterns](extraction.md) - How to extract architectural elements from plans
[Compliance](compliance.md) - Compliance levels and report format
[Self-Learning](self-learning.md) - Continuous improvement framework

Purpose

Generic, adaptive framework that:

Discovers all plan files in plans/ directory
Extracts architectural requirements dynamically
Validates implementation compliance
Reports gaps, drift, and violations

Key Principle: Be architecture-agnostic. Work with ANY project structure.

When to Use

Validating implementation matches planning documents
Checking for architecture drift after development
Ensuring design decisions are followed
Identifying missing implementations
Preparing for architecture reviews
Verifying refactoring didn't break boundaries

Validation Workflow

Discover - Find all plan files
Extract - Pull architectural elements
Analyze - Compare vs codebase
Validate - Check compliance
Gap Analysis - Identify missing/drift/extra
Report - Generate comprehensive report

See [workflow.md](workflow.md) for detailed phases and [dimensions.md](dimensions.md) for validation categories.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Author: d-o-hub
Source: d-o-hub/rust-self-learning-memory
License: MIT
Homepage: https://d-o-hub.github.io/rust-self-learning-memory/

Install and usage instructions live in the source repository linked above.

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Versions

v0.1.0 Imported from the upstream source.