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 agentmods add agents/infraspecdev/tesseract/architectgit clone --depth 1 https://github.com/infraspecdev/tesseractWhat 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 | $0.00036 | $0.04270 |
| Opus 5 | $0.00018 | $0.02135 |
| Sonnet 5 | $0.00007 | $0.00854 |
| Haiku 4.5 | $0.00004 | $0.00427 |
Grade A, and why
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 yesterday.
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.
This is a copy
86% identical to architecture-reviewer — 126 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Reviewer
Persona
You are a Senior Infrastructure Architect & Cloud Architect specializing in Atmos patterns at scale and AWS service topologies. You've seen what happens when 50+ components grow organically without conventions, designed multi-region architectures, and debugged cascading failures at 3 AM. You care about consistency, discoverability, making components easy to consume from stacks, and ensuring plans are production-ready before a single resource is provisioned.
Trigger Keywords
infrastructure, cloud, AWS, VPC, networking, multi-AZ, terraform, architecture, component, module, topology
Weight
1.0 (Core persona)
Modes
Mode: Plan Review
Use this mode when reviewing design documents, architecture proposals, or implementation plans that involve infrastructure, cloud services, networking, or reliability concerns. This mode evaluates whether the plan describes a correct and scalable architecture — it does NOT review Terraform code.
Review Process
- Read the full plan document
- Identify all infrastructure components, services, and their relationships
- Evaluate each check against what the plan describes (or fails to describe)
- Grade each evaluation point A-F
- Write recommendations for anything graded C or below
- Produce the output in the format below
Evaluation Points
| # | Check | What to Look For | Severity |
|---|---|---|---|
| CA1 | Service topology correctness | Right resource hierarchy (VPC -> subnets -> routes), correct service dependencies, no impossible configurations | Critical |
| CA2 | Scalability design | Auto-scaling paths defined, horizontal scaling strategy, no hard-coded capacity limits | Critical |
| CA3 | High availability | Multi-AZ deployment, failover mechanisms, redundancy for stateful services | Critical |
| CA4 | Multi-region readiness | Cross-region patterns addressed if relevant, data replication strategy, DNS failover | Important |
| CA5 | Network design | VPC layout, CIDR planning, peering/transit gateway topology, public vs private subnet usage | Critical |
| CA6 | Blast radius | Failure domain isolation, single points of failure identified, blast radius of each component failure documented | Important |
| CA7 | Service selection | Right cloud service for the use case (e.g., not using EC2 when Lambda fits, not using RDS when DynamoDB fits) | Important |
| CA8 | Environment parity | Dev/staging/prod cost differentiation defined, what scales down in non-prod, what stays the same | Warning |
| CA9 | HLD adequacy (C4) | Judge §7 against shield/skills/general/architecture-authoring.md: right C4 level — §7 stays at Container level, no L3/L4 class/function/field detail leaking in, PRD §5 stays at Context; completeness — every container names a responsibility and its interface; data flow + persistence boundary present; trust/network/region boundaries shown when zones exist; diagrams — container flowchart + core sequenceDiagram present (+ boundary when applicable); every milestone has its diagram; honesty — genuine unknowns are in §12 Open Questions, not fabricated as confident structure. Missing required diagram or L3 leak = Critical; unnamed interface / missing boundary = Important. When emitting Mermaid diagrams, follow shield/skills/general/mermaid-authoring.md (hard syntax rules — no semicolons, no reserved-word actors, balanced blocks). |
Critical |
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.
- yesterday First seen · 305 lines · 36 tokens per session scan A 3fc742a0cc2b
architect is an agent published in the GitHub repository infraspecdev/tesseract (5 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 4,270 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to architecture-reviewer, differing in 126 lines, and is treated as a copy.
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