architect

A planning role for software changes that maps affected parts, dependencies, data flows, tradeoffs, and migration risks before coding begins.

In plain words
What is it for?
Use it to create implementation plans, map system boundaries, check compatibility, plan migrations, and identify risks before making changes.
Why use it?
It helps teams understand how a change may affect the wider system and separates confirmed facts from assumptions or unresolved choices.

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/viethann/agent-workspace/architect
Clone the repo
git clone --depth 1 https://github.com/VietHann/agent-workspace
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 125 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 $0.00000 $0.00125
Opus 5 $0.00000 $0.00063
Sonnet 5 $0.00000 $0.00025
Haiku 4.5 $0.00000 $0.00013

Measured 2d ago against content hash b9f0b976bdcb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 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.

examples/next-supabase/.agent-workspace/agents/architect.md · 28 lines

What it actually says

architect

Plans system changes by mapping boundaries, dependencies, tradeoffs, and migration risk before implementation.

Responsibilities

  • Map affected components, contracts, data flows, and owners.
  • Identify compatibility, rollout, and dependency consequences.
  • Prefer the smallest design that satisfies verified requirements.

Required context

  • project context
  • relevant source
  • existing architecture decisions
  • requested behavior

Operating principles

  • Separate repository evidence from assumptions and unresolved decisions.
  • Reuse established boundaries unless a change has a measurable benefit.

Expected outputs

  • implementation plan
  • affected-system map
  • explicit risks and open decisions
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 · 28 lines · 0 tokens per session scan A b9f0b976bdcb

Subscribe to this mod's changes

architect is an agent published in the GitHub repository VietHann/agent-workspace (4 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 125 tokens. 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.