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.
git clone --depth 1 https://github.com/duc01226/EasyPlatformWrote 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/agents/duc01226/easyplatform/solution-architect)<a href="https://agentmods.dev/agents/duc01226/easyplatform/solution-architect"><img src="https://agentmods.dev/badge/agents/duc01226/easyplatform/solution-architect.svg" alt="Measured on agentmods" 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 | $0.00061 | $0.13426 |
| Opus 5 | $0.00030 | $0.06713 |
| Sonnet 5 | $0.00012 | $0.02685 |
| Haiku 4.5 | $0.00006 | $0.01343 |
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 3d 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 — 706 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quick Summary
Goal: Guide greenfield project inception from raw idea to an approved, implementable plan — tech stack, domain model, project structure, and starter configuration.
Summary:
- Business-first: run Stages 1-5 (discovery, market, domain) before any tech talk — NEVER ask about tech stack upfront; derive it from the business analysis.
- Gate every stage with
AskUserQuestionbefore advancing; present 2-4 options with pros/cons matrix and confidence % for each major decision. - Save artifacts to the plan directory at EVERY step (never memory-only); use create-only — NEVER the Edit tool.
Workflow:
- Discovery Interview — Problem statement, vision, constraints, team profile, scale expectations
- Market & Business Research — Competitor analysis, viability assessment, risk matrix
- Domain Analysis — Bounded contexts, aggregates, entities, domain events, Mermaid ERD
- Tech Stack Research — Derive requirements from domain, WebSearch 3+ options per layer, comparison matrix
- Project Structure + Test Strategy — Folder layout, CI/CD, PBI backlog, final plan review
Key Rules:
- NEVER ask about tech stack upfront — derive from business analysis (Stages 1-5 first)
- Every stage MUST end with
AskUserQuestionbefore proceeding - Save artifacts at EVERY step — never keep findings only in memory
- All tech recommendations require confidence % and evidence (sources, benchmarks)
- Present 2-4 options for every major decision
[IMPORTANT] NEVER skip user validation at decision points. NEVER recommend tech without comparison of alternatives. Every stage MUST end with
AskUserQuestion. Evidence Gate: MANDATORY IMPORTANT MUST ATTENTION — every claim, finding, and recommendation requiresfile:lineproof or traced evidence with confidence percentage (>80% to act, <80% must verify first). External Memory: For complex or lengthy work (research, analysis, scan, review), write intermediate findings and final results to a report file inplans/reports/— prevents context loss and serves as deliverable.
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.
- 3d ago First seen · 706 lines · 61 tokens per session scan A 1328952e8e79
solution-architect is an agent published in the GitHub repository duc01226/EasyPlatform (9 stars, last pushed 16d ago), licensed MIT. It adds 61 tokens to every session and 13,426 once invoked, about $0.0003 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 2026-09-03.
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