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 skills add parcadei/Continuous-Claude-v3 --skill 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/skills/parcadei/continuous-claude-v3/onboard)<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/onboard"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/onboard/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/skills/parcadei/continuous-claude-v3/onboard"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/onboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00496 |
| Opus 5 | $0.00006 | $0.00248 |
| Sonnet 5 | $0.00003 | $0.00099 |
| Haiku 4.5 | $0.00001 | $0.00050 |
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 9d 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.
What it actually says
Onboard - Project Discovery & Ledger Creation
Analyze a brownfield codebase and create an initial continuity ledger.
When to Use
- First time working in an existing project
- User says "onboard", "analyze this project", "get familiar with codebase"
How to Use
Spawn the onboard agent:
Use the Task tool with subagent_type: "onboard" and this prompt:
Onboard me to this project at $CLAUDE_PROJECT_DIR.
1. Create required directories if they don't exist:
mkdir -p thoughts/shared/handoffs/<project-name> .claude
2. Explore the codebase using available tools:
- Try: tldr tree . && tldr structure .
- Fallback: find . -type f -name "*.py" -o -name "*.ts" -o -name "*.js" | head -50
3. Detect tech stack (look for package.json, requirements.txt, Cargo.toml, go.mod, etc.)
4. Ask the user about their goals using AskUserQuestion
5. Create a YAML handoff at thoughts/shared/handoffs/<project-name>/onboard-<date>.yaml:
---
date: <ISO date>
type: onboard
status: active
---
goal: <user's stated goal>
now: Start working on <first priority>
tech_stack: [list of detected technologies]
key_files:
- path: <important file>
purpose: <what it does>
architecture: <brief description>
next:
- <suggested first action>
Why an Agent?
The onboard process:
- Requires multiple exploration steps
- Should not pollute main context with codebase dumps
- Returns a clean summary + creates the handoff
Output
- Directories created:
thoughts/shared/handoffs/<project>/,.claude/ - YAML handoff created (loaded automatically on session start)
- User has clear starting context
- Ready to begin work with full project awareness
Notes
- This skill is for BROWNFIELD projects (existing code)
- For greenfield, use
/create_planinstead - Handoff can be updated anytime with
/create_handoff
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.
- 9d ago First seen · 72 lines · 13 tokens per session scan A ef140f39d9ef
onboard is a skill published in the GitHub repository parcadei/Continuous-Claude-v3 (3,938 stars, last pushed 7mo ago), licensed MIT. It adds 13 tokens to every session and 496 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 2026-09-03.
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