AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
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.
npx skills add sickn33/agentic-awesome-skills --skill architecture-reviewgit clone --depth 1 https://github.com/sickn33/agentic-awesome-skillsWrote 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.
[](https://agentmods.dev/skills/sickn33/agentic-awesome-skills/architecture-review)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/architecture-review"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/architecture-review/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/architecture-review"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/architecture-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.00605 |
| Opus 5.5 | $0.00014 | $0.00242 |
| Sonnet 5.5 | $0.00007 | $0.00121 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
architecture-review 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 11d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- architecture-review — 100% identical, 0 lines differ
What it actually says
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. Read the 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
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.
What ships with it
9 files 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.
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.
- 11d ago Changed 0dd99ebd2bc8
- 1mo ago First seen · 78 lines · 35 tokens per session scan A 12494bc56583
architecture-review is a skill published in the GitHub repository sickn33/agentic-awesome-skills (48,503 stars, last pushed yesterday), licensed MIT. It adds 35 tokens to every session and 605 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-22.
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