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 arcasilesgroup/ai-engineering --skill ai-architectgit clone --depth 1 https://github.com/arcasilesgroup/ai-engineeringWrote 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/arcasilesgroup/ai-engineering/ai-architect)<a href="https://agentmods.dev/skills/arcasilesgroup/ai-engineering/ai-architect"><img src="https://agentmods.dev/badge/skills/arcasilesgroup/ai-engineering/ai-architect/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/arcasilesgroup/ai-engineering/ai-architect"><img src="https://agentmods.dev/badge/skills/arcasilesgroup/ai-engineering/ai-architect.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 | $0.00193 | $0.06766 |
| Opus 5.5 | $0.00077 | $0.02706 |
| Sonnet 5.5 | $0.00039 | $0.01353 |
| Haiku 4.5 | $0.00019 | $0.00677 |
Grade A, and why
ai-architect 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 484 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ai-architect
Help the user decide, validate, or improve how a project should be built. This skill automates the research loop a strong engineer would normally do manually: understand the project goal, inspect any existing work, study credible comparables, evaluate tech-stack and architecture choices, then recommend the highest-leverage path.
Most of that research is docs, repos, and pricing pages. When the project turns on a technical mechanism where the naive version breaks, a gated arXiv prior-art pass is available as a second, more expensive layer. See Prior-Art Deep Dive (arXiv) below; it is off by default.
Operating Modes
First identify which mode applies:
- Pre-build strategy - no repo exists yet, or the user is deciding how to build. Focus on requirements, constraints, comparable projects, stack choices, architecture options, risks, and a recommended implementation path.
- Mid-build course correction - a repo or partial implementation exists. Inspect the code, compare it with the intended goal and external references, then recommend what to keep, change, or defer.
- Post-build review - the project is mostly complete. Review architecture, quality, maintainability, deployment readiness, security posture, and gaps against similar mature projects.
Mode selection rule:
- No repo, folder, code, or URL means default to pre-build strategy.
- Any repo, folder, code excerpt, GitHub URL, or "I am building..." language means default to mid-build course correction unless the user says the project is finished, deployed, or ready for final review.
- Finished, deployed, production, launch-ready, or "review this completed project" language means default to post-build review.
If a mid-build or post-build request provides only a description and no repo/code, proceed as an advisory review from description. Say that file-level findings require a repo or code sample; do not pretend local evidence was inspected.
Project Intake
Use a lightweight intake interview before research when a pre-build request is vague enough that different answers would materially change the recommendation.
What ships with it
2 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.
- 1mo ago Changed · +2 tokens per session 74264aebb0bf
- 1mo ago First seen · 484 lines · 191 tokens per session scan A b027383d9f0d
ai-architect is a skill published in the GitHub repository arcasilesgroup/ai-engineering (62 stars, last pushed yesterday), licensed Apache-2.0. It adds 193 tokens to every session and 6,766 once invoked, about $0.0008 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 2026-09-12.
ai-architect compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ai-architectarcasilesgroup/ai-engineering | Skill | 62 | yesterday | Apache-2.0 | A | 193 | Codex |
| spec-kitty-charter-doctrinePriivacy-ai/spec-kitty | Skill | 1.7k | 19d ago | MIT | A | 135 | Claude Code, Codex |
| 322-frameworks-spring-boot-testing-integration-testsjabrena/plinth | Skill | 460 | 2d ago | Apache-2.0 | A | 123 | Claude Code, Codex |
| 422-frameworks-quarkus-testing-integration-testsjabrena/plinth | Skill | 460 | 2d ago | Apache-2.0 | A | 190 | Claude Code, Codex |
| 314-frameworks-spring-kafkajabrena/plinth | Skill | 460 | 2d ago | Apache-2.0 | A | 112 | Claude Code, Codex |
| setup-husky-dotnetSebastienDegodez/copilot-instructions | Skill | 199 | 1mo ago | Apache-2.0 | A | 30 | Claude Code, Codex |
| vibeflow-statspe-menezes/vibeflow | Skill | 33 | yesterday | MIT | A | 46 | Claude Code, Codex |