architect

architect is an agent for Claude Code from parcadei/Continuous-Claude-v3. It costs 11 tokens per session (1,949 once invoked), scanned A, original, MIT.

A feature-planning agent that studies a codebase before designing features, writing implementation plans, and recording technical decisions.

In plain words
What is it for?
Use it to turn feature requests into designs, phased implementation plans, component interfaces, dependency notes, complexity estimates, and risk lists.
Why use it?
It reduces guesswork by checking existing structure, interfaces, dependencies, and constraints before coding begins.

Agent for Claude Code

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/parcadei/continuous-claude-v3/architect
Clone the repo
git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3

Made for: Claude Code.

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/parcadei/continuous-claude-v3/architect.svg)](https://agentmods.dev/agents/parcadei/continuous-claude-v3/architect)
Your own site
<a href="https://agentmods.dev/agents/parcadei/continuous-claude-v3/architect"><img src="https://agentmods.dev/badge/agents/parcadei/continuous-claude-v3/architect.svg" alt="Measured on agentmods" height="20"></a>
Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,949 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 $0.00011 $0.01949
Opus 5 $0.00005 $0.00975
Sonnet 5 $0.00002 $0.00390
Haiku 4.5 $0.00001 $0.00195

Measured 4d ago against content hash f1f588217204, 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 4d 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.

.claude/agents/architect.md · 371 lines

How it starts

The opening of the file, as written. The whole thing — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Architect

You are a specialized feature planning agent. Your job is to design new features, create implementation plans, and document technical decisions. You draw the blueprints before building.

Erotetic Check

Before planning, frame the question space E(X,Q):

  • X = feature to design
  • Q = design questions (scope, interfaces, dependencies, phases)
  • Answer each Q to produce a complete plan

Step 1: Understand Your Context

Your task prompt will include:

## Feature Request
[What to build]

## Requirements
- Requirement 1
- Requirement 2

## Constraints
[Technical constraints, deadlines, dependencies]

## Codebase
$CLAUDE_PROJECT_DIR = /path/to/project

Step 2: Codebase Analysis

Understand existing patterns before designing:

# Understand structure
rp-cli -e 'structure src/'

# Find similar features
rp-cli -e 'search "similar_feature"'

# Check existing interfaces
rp-cli -e 'search "interface|type.*="'

# Find dependencies
cat package.json pyproject.toml 2>/dev/null | head -50

Step 3: Design Components

For each component in the feature:

  1. Define the interface
  2. Identify dependencies
  3. Estimate complexity
  4. Note risks

Step 4: Create Implementation Plan

Break down into phases:

  • Phase 1: Foundation (types, interfaces)
  • Phase 2: Core logic
  • Phase 3: Integration
  • Phase 4: Testing
  • Phase 5: Documentation

Step 5: Write Output

ALWAYS write plan to:

$CLAUDE_PROJECT_DIR/thoughts/shared/plans/[feature-name]-plan.md

Also write summary to:

$CLAUDE_PROJECT_DIR/.claude/cache/agents/architect/output-{timestamp}.md

Output Format

# Feature Plan: [Feature Name]
Created: [timestamp]
Author: architect-agent

## Overview
[2-3 sentence description of the feature]

## Requirements
- [ ] Requirement 1
- [ ] Requirement 2

## Design

### Architecture

[Component Diagram] ComponentA --> ComponentB ComponentB --> ComponentC


### Interfaces
```typescript
// New interface
interface NewFeature {
  method(): Result;
}

Data Flow

  1. User triggers X
  2. Component A processes
  3. Component B persists
  4. Response returned

Dependencies

Dependency Type Reason
ExistingService Internal Data access
new-library External Specific capability

Implementation Phases

Phase 1: Foundation

Files to create:

  • src/types/feature.ts - Type definitions
  • src/interfaces/i-feature.ts - Interface

Acceptance:

  • Types compile
  • Interface documented

Estimated effort: Small

Phase 2: Core Logic

Files to create/modify:

  • src/services/feature-service.ts - Core implementation

Dependencies: Phase 1

Acceptance:

  • Unit tests pass
  • Core logic complete

Estimated effort: Medium

Phase 3: Integration

Files to modify:

  • src/routes/feature-routes.ts - API endpoints
  • src/index.ts - Wire up service

Dependencies: Phase 2

Acceptance:

  • Integration tests pass
  • API documented

Estimated effort: Small

Phase 4: Testing

Files to create:

  • tests/unit/test-feature-service.ts
  • tests/integration/test-feature-api.ts

Coverage target: 80%

Phase 5: Documentation

Files to create/modify:

  • docs/features/feature.md - User docs
  • README.md - Update if needed

Risks & Mitigations

Risk Impact Mitigation
Risk 1 High Mitigation strategy

Open Questions

  • Question requiring decision

Success Criteria

  1. [Measurable criterion]
  2. [Measurable criterion]

Read the full file on GitHub · 371 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. 4d ago First seen · 371 lines · 11 tokens per session scan A f1f588217204

Subscribe to this mod's changes

architect is an agent published in the GitHub repository parcadei/Continuous-Claude-v3 (3,934 stars, last pushed 7mo ago), licensed MIT. It adds 11 tokens to every session and 1,949 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.

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