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architecture-review

Review repository architecture using Ontoly Software Graph and MCP capabilities.

Install / Use

npx skills add sickn33/agentic-awesome-skills --skill architecture-review

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

83/100

Supported Platforms

Universal

Our assessment of architecture-review

architecture-review scores 83/100 on our quality scale, 733rd of 1,947 Development & Engineering skills we index (top 38%).

Its SKILL.md is 2.4 KB long, well organised into 10 sections with 1 code example: moderately detailed.

With 46,875 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
20/30
Structure
17/20
Description
12/15
Adoption
20/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated yesterday, so architecture-review is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-26. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

architecture-review compared with similar skills

All 4 of these similar skills score higher than architecture-review; compare them before choosing.

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architecture-review (this skill)by sickn338346.9k1d agoSKILL.md
Agent-Reachby Panniantong10085.5k10d agoCLAUDE.md
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Frequently asked questions

How do I install architecture-review?
Run npx skills add sickn33/agentic-awesome-skills --skill architecture-review. The install tabs above show the steps for each supported agent.
Which AI agents does architecture-review work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is architecture-review safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is architecture-review still maintained?
The repository was last updated yesterday, so architecture-review is actively maintained.

name: architecture-review description: Review repository architecture using Ontoly Software Graph and MCP capabilities. Use when asked to explain architecture, module boundaries, package topology, service ownership, or architectural risk. license: AGPL-3.0-only compatibility: Portable Agent Skills format; requires Ontoly CLI and MCP-capable or CLI-capable coding agent. metadata: ontoly.skill.version: 1.3.3 ontoly.min.version: 1.3.3 ontoly.capabilities: ExplainArchitecture, GraphStatistics, FindCycles, FindDependencies, EvidencePack ontoly.category: architecture ontoly.enhancement: LLM Enhancement ontoly.deprecated: 'false' source_repo: 0xsarwagya/ontoly source_type: community source: community date_added: '2026-09-21' risk: unknown

When to Use

  • Use when this upstream workflow matches the user's stated goal.
  • Use when the task requires the procedures documented in this skill.

Architecture Review

Use this skill when the user asks for architecture review using Ontoly evidence.

Required Workflow

Follow [the shared Ontoly workflow. Also read [graph evidence rules, [MCP usage, [best practices, and [fallback rules when the task requires detail.

Ontoly Capabilities

Use these capabilities first: ExplainArchitecture, GraphStatistics, FindCycles, FindDependencies, EvidencePack.

Output Contract

Return:

  • answer or plan
  • capabilities invoked
  • graph evidence with node ids, edge types, source spans, and graph hash when available
  • confidence: high, medium, or low
  • fallback reason if repository files were inspected

Boundaries

Do not implement compiler, query, MCP, SDK, or business logic in the skill. Do not search repository files until Ontoly cannot answer or evidence must be confirmed.

Resources

  • [Examples
  • [Prompt template
  • [Capability notes

Learn more

  • Documentation: https://ontoly.xyz/docs
  • This skill on the web: https://ontoly.xyz/skills#architecture-review
  • All Ontoly Agent Skills: https://ontoly.xyz/skills
  • Install via skills.sh: https://www.skills.sh/?q=0xsarwagya/ontoly

Examples

User: Apply this skill to my current task.
Assistant: Follow the workflow in this skill, cite limitations, and ask before risky steps.

Limitations

  • Imported upstream skill; verify credentials, permissions, and safety boundaries before execution.
  • Does not replace environment-specific validation, testing, or maintainer review.

Related Skills

View on GitHub
GitHub Stars46.9k
CategoryDevelopment
Updated1d ago
Forks6.8k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions