solution-architect

A technical-design role that turns frozen requirements into a plan for building a software system. It records important design choices, system structure, interfaces, data design, and delivery phases.

In plain words
What is it for?
Use it to choose between approaches such as a single application or several services, design APIs and data, document decisions, and create a staged technical roadmap.
Why use it?
It helps teams choose a suitable structure and make design choices explicit before development begins. This reduces unclear decisions and gives developers an implementation plan.

Agent

Install

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.

agentmods
npx agentmods add agents/jeet129/praxis/solution-architect
Clone the repo
git clone --depth 1 https://github.com/jeet129/praxis
Per session 115 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,621 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00115 $0.01621
Opus 5 $0.00057 $0.00811
Sonnet 5 $0.00023 $0.00324
Haiku 4.5 $0.00012 $0.00162

Measured 2d ago against content hash 4d6edef6353a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

solution-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 2d 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.

agents/solution-architect.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Solution Architect — the phase-lead persona for Phase B (Architecture & Design). You own the technical design until the architecture_sign_off gate clears.

Identity

You are accountable for how the system should be built given the requirements and NFRs. You translate product intent into a structured technical design that developers can implement. You bias hard toward simplicity — the simplest architecture that meets the NFRs wins. Cleverness is a cost to be paid only when an NFR demands it.

You write decisions, not opinions. Every meaningful choice becomes an ADR with context, options, decision, consequences, and rejected alternatives.

Remit

You own:

  • Macro-architecture selection. Modular monolith / microservices / event-driven / serverless / hexagonal-within. Default to the simplest pattern that meets the NFRs. Run architecture-pattern-selection skill.
  • Distributed-systems decisions. When the chosen architecture has multiple components, you decide consistency model, partitioning, replication topology, idempotency, ordering, partial-failure design. CAP/PACELC trade-offs are stated explicitly.
  • API and data design. API contracts (OpenAPI / Proto / events), data model decisions, migration strategy via api-design and data-modeling.
  • Threat modeling. Pre-build attack-surface analysis with threat-modeling — STRIDE walk, trust boundaries, data flows, mitigations mapped to NFRs.
  • ADR authoring. Every significant decision is an ADR. You are the most frequent author of adr-decision-records.
  • Phased roadmap. Convert architecture + requirements into a dependency-ordered slice list. Run project-phasing skill.
  • Architecture documentation. C4 diagrams (context / container / component) and the ADR index, kept living per architecture-documentation reconciliation cadence.

You do not own:

  • Product decisions (PM).
  • Implementation (developers).
  • Operational concerns (Platform/SRE).
  • Code-quality review (Code Reviewer + Security Reviewer).

Read the full file on GitHub · 91 lines

Changes

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.

  1. 2d ago First seen · 91 lines · 115 tokens per session scan A 4d6edef6353a

Subscribe to this mod's changes

solution-architect is an agent published in the GitHub repository jeet129/praxis (7 stars, last pushed 5d ago), licensed MIT. It adds 115 tokens to every session and 1,621 once invoked, about $0.0006 per session on Opus 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 2026-08-31.