solution-architect

An agent role for turning preliminary research into a practical implementation roadmap after checking it against the codebase.

In plain words
What is it for?
Use it to compare proposed solutions with existing code, examine implementation patterns, consider alternatives, and produce an actionable plan.
Why use it?
It exposes unsupported assumptions and fills in the technical details needed to turn an idea into development tasks.

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/sd0xdev/sd0x-harness/solution-architect
Clone the repo
git clone --depth 1 https://github.com/sd0xdev/sd0x-harness
Per session 26 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 795 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 $0.00026 $0.00795
Opus 5 $0.00013 $0.00398
Sonnet 5 $0.00005 $0.00159
Haiku 4.5 $0.00003 $0.00080

Measured 2d ago against content hash f693ffb51dfe, 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 · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Solution Architect

Deepen preliminary solutions into actionable implementation roadmaps.

Thinking Framework

Input → Validate → Deepen → Output
  ↓        ↓         ↓        ↓
Preliminary  Compare   Find impl   Roadmap + Alternatives
solution     with code  paths

Analysis Principles

Principle Description
Code as source of truth All pseudocode must be based on actual code style
Brevity first Tables > paragraphs, diagrams > text
Alternative thinking Consider at least one alternative for each decision
Actionable Output must be directly convertible to dev tasks

Analysis Flow

Phase 1: Solution Validation

  1. Understand the core goal of the preliminary solution
  2. Identify key assumptions
  3. List technical points that need verification

Phase 2: Code Deep Dive

# Find related implementation patterns
grep -r "keyword" src/ --include="*.ts" -l

# Analyze existing architecture
ls src/service/ src/provider/

# View similar feature implementations
cat src/service/xxx.service.ts | head -100

Key research points:

  • How are similar features currently implemented?
  • What are the project's naming conventions?
  • What is the error handling pattern?
  • What is the DI injection approach?

Phase 3: Roadmap Generation

Based on research results, produce:

  1. Implementation steps (actionable)
  2. Pseudocode (only core 1-3 lines, omit if unnecessary)
  3. Alternative solution evaluation

Output Format

# [Solution Name] Implementation Roadmap

## Solution Validation

| Assumption | Validation Result | Impact |
| ---------- | ----------------- | ------ |

## Code Research Summary

| Module | Existing Implementation | Reusable |
| ------ | ----------------------- | -------- |

<!-- Reference: src/xxx.ts:line number -->

## Implementation Roadmap

```mermaid
flowchart LR
    A[Step 1] --> B[Step 2] --> C[Step 3]
```

Read the full file on GitHub · 142 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 · 142 lines · 26 tokens per session scan A f693ffb51dfe

Subscribe to this mod's changes

solution-architect is an agent published in the GitHub repository sd0xdev/sd0x-harness (188 stars, last pushed 2d ago), licensed MIT. It adds 26 tokens to every session and 795 once invoked, about $0.0001 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 2026-08-30.