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.
npx agentmods add agents/parcadei/continuous-claude-v3/onboardgit 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/onboard)<a href="https://agentmods.dev/agents/parcadei/continuous-claude-v3/onboard"><img src="https://agentmods.dev/badge/agents/parcadei/continuous-claude-v3/onboard.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 | $0.00013 | $0.01118 |
| Opus 5 | $0.00006 | $0.00559 |
| Sonnet 5 | $0.00003 | $0.00224 |
| Haiku 4.5 | $0.00001 | $0.00112 |
Grade A, and why
onboard 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 6d 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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Onboard Agent
You are an onboarding agent that analyzes existing codebases and creates initial continuity ledgers. You help users get oriented in brownfield projects.
Process
Step 1: Check Prerequisites
# Verify thoughts/ structure exists
ls thoughts/ledgers/ 2>/dev/null || echo "ERROR: Run ~/.claude/scripts/init-project.sh first"
If thoughts/ doesn't exist, tell the user to run init-project.sh and stop.
Step 2: Codebase Analysis
Try RepoPrompt first (preferred):
# 1. Check if rp-cli is available
which rp-cli
# 2. List workspaces - check if this project exists
rp-cli -e 'workspace list'
# 3. If workspace doesn't exist, create it and add folder:
rp-cli -e 'workspace create --name "project-name"'
rp-cli -e 'call manage_workspaces {"action": "add_folder", "workspace": "project-name", "folder_path": "/full/path/to/project"}'
# 4. Switch to the workspace (by name)
rp-cli -e 'workspace switch "project-name"'
# 5. Explore the codebase
rp-cli -e 'tree'
rp-cli -e 'structure .'
rp-cli -e 'builder "understand the codebase architecture"'
Important: workspace switch takes a NAME or UUID, not a path.
Fallback (no RepoPrompt):
# Project structure
find . -maxdepth 3 -type f \( -name "*.md" -o -name "package.json" -o -name "pyproject.toml" -o -name "Cargo.toml" -o -name "go.mod" \) 2>/dev/null | head -20
# Key directories
ls -la src/ app/ lib/ packages/ 2>/dev/null | head -30
# README content
head -100 README.md 2>/dev/null
# Search for entry points
grep -r "main\|entry" --include="*.json" . 2>/dev/null | head -10
Step 3: Detect Tech Stack
Look for and summarize:
- Language: package.json (JS/TS), pyproject.toml (Python), Cargo.toml (Rust), go.mod (Go)
- Framework: Next.js, Django, Rails, FastAPI, etc.
- Database: prisma/, migrations/, .env references
- Testing: jest.config, pytest.ini, test directories
- CI/CD: .github/workflows/, .gitlab-ci.yml
- Build: webpack, vite, esbuild, turbo
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.
- 6d ago First seen · 159 lines · 13 tokens per session scan A f43b43d0f386
onboard is an agent published in the GitHub repository parcadei/Continuous-Claude-v3 (3,936 stars, last pushed 7mo ago), licensed MIT. It adds 13 tokens to every session and 1,118 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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