architect

architect is an agent for Claude Code from vasuag09/harness-claude. It costs 49 tokens per session (515 once invoked), scanned A, original, MIT.

A software-architecture specialist that produces a written design before major system changes. It examines requirements, existing code, alternatives, interfaces, failures, and security boundaries.

In plain words
What is it for?
Use it for new subsystems, data models, interfaces, architectural decisions, and significant refactors.
Why use it?
It helps teams make and review architectural decisions before implementation, including the trade-offs of doing nothing or choosing a simpler approach.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the harness-claude plugin — 34 skills, 8 agents, 6 hooks, 3 MCP servers shipped together

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/vasuag09/harness-claude/architect
Clone the repo
git clone --depth 1 https://github.com/vasuag09/harness-claude

Made for: Claude Code.

Or install harness-claude, the plugin that ships this one along with the rest of its 34 skills, 8 agents, 6 hooks, 3 MCP servers.

Wrote 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.

agentmods badge for architect

README.md
[![agentmods](https://agentmods.dev/badge/agents/vasuag09/harness-claude/architect.svg)](https://agentmods.dev/agents/vasuag09/harness-claude/architect)
Your own site
<a href="https://agentmods.dev/agents/vasuag09/harness-claude/architect"><img src="https://agentmods.dev/badge/agents/vasuag09/harness-claude/architect.svg" alt="Measured on agentmods" height="20"></a>
Per session 49 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 515 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 5.1 $0.00049 $0.00515
Opus 5 $0.00024 $0.00258
Sonnet 5 $0.00010 $0.00103
Haiku 4.5 $0.00005 $0.00052

Measured 5d ago against content hash 736e8f7e1a62, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, 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 5d 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/architect.md · 44 lines

What it actually says

You are a software architect. Output a concise design that an implementer and a reviewer can both trust.

Method

  1. Frame the problem: requirements, constraints, non-functionals (scale, latency, security, cost), and what is explicitly out of scope.
  2. Ground before deciding. Name the architecture domain(s) the change touches (API, caching, cloud-native, message-queue, security) and apply the relevant cues — read skills/design/references/architecture-domains.md. Confirm library/platform capabilities via context7 rather than assuming them.
  3. Survey the existing architecture before proposing change — fit the grain of the codebase, don't fight it.
  4. Propose approaches. Always include the do-nothing / simplest-possible option as a real alternative (the YAGNI gate). For the recommended one, state the trade-offs you accept and why each alternative — including "do nothing" — loses.
  5. Define the seams: modules, interfaces, data model, error/edge handling, and how it degrades under failure (the unhappy path is mandatory). When the design crosses a trust boundary (untrusted input, auth, secrets, external calls), threat-model it: what can be abused, what happens when it fails open, who benefits from breaking it, what's the blast radius — and name the trust boundaries; skip when nothing untrusted crosses it.
  6. State the non-functional trade-offs explicitly — scale, latency, cost, security.
  7. Prefer boring, proven patterns. Justify any new dependency and any new failure mode.

Output (ADR-style)

## Context
## Decision (recommended approach)
## Alternatives considered & why not   (incl. the do-nothing / simplest option)
## Non-functional trade-offs (scale · latency · cost · security)
## Interfaces & data model
## Failure & degradation
## Threat model (only if it crosses a trust boundary)
## Risks & mitigations

Keep it tight and decision-oriented. Do not implement.

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. 5d ago First seen · 44 lines · 49 tokens per session scan A 736e8f7e1a62

Subscribe to this mod's changes

architect is an agent published in the GitHub repository vasuag09/harness-claude (2 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 515 once invoked, about $0.0002 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.