Continuous-Claude-v3 is a Claude Code development environment that preserves working context between sessions, coordinates specialized agents, and stores project knowledge through ledgers, handoffs, and analysis tools. It is for people using Claude Code on ongoing or complex software work. Its catalogue entries are the skills, agents, hooks, plugin, and setting that provide its workflows and orchestration.
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/parcadei/Continuous-Claude-v3Wrote 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/parcadei/continuous-claude-v3/architect)<a href="https://agentmods.dev/agents/parcadei/continuous-claude-v3/architect"><img src="https://agentmods.dev/badge/agents/parcadei/continuous-claude-v3/architect/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<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="Reviewed on agentmods" width="80" 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 | $0.00011 | $0.01949 |
| Opus 5.5 | $0.00004 | $0.00780 |
| Sonnet 5.5 | $0.00002 | $0.00390 |
| Haiku 4.5 | $0.00001 | $0.00195 |
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 1mo 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 — 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:
- Define the interface
- Identify dependencies
- Estimate complexity
- 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
- User triggers X
- Component A processes
- Component B persists
- 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 definitionssrc/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 endpointssrc/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.tstests/integration/test-feature-api.ts
Coverage target: 80%
Phase 5: Documentation
Files to create/modify:
docs/features/feature.md- User docsREADME.md- Update if needed
Risks & Mitigations
| Risk | Impact | Mitigation |
|---|---|---|
| Risk 1 | High | Mitigation strategy |
Open Questions
- Question requiring decision
Success Criteria
- [Measurable criterion]
- [Measurable criterion]
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.
- 1mo ago First seen · 371 lines · 11 tokens per session scan A f1f588217204
architect is an agent published in the GitHub repository parcadei/Continuous-Claude-v3 (3,946 stars, last pushed 8mo ago), licensed MIT. It adds 11 tokens to every session and 1,949 once invoked, about $0.0000 per session on Opus 5.5. 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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