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 exploregit 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/explore)<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/explore"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/explore/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/explore"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/explore.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 | $0.00021 | $0.03038 |
| Opus 5.5 | $0.00008 | $0.01215 |
| Sonnet 5.5 | $0.00004 | $0.00608 |
| Haiku 4.5 | $0.00002 | $0.00304 |
Grade A, and why
explore 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 — 467 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Explore - Internal Codebase Exploration
Meta-skill for exploring an internal codebase at varying depths. READ-ONLY workflow - no code changes.
Usage
/explore <depth> [options]
Question Flow (No Arguments)
If the user types just /explore with no or partial arguments, guide them through this question flow. Use AskUserQuestion for each phase.
Phase 0: Workflow Selection
question: "How would you like to explore?"
header: "Explore"
options:
- label: "Help me choose (Recommended)"
description: "I'll ask questions to pick the right exploration depth"
- label: "Quick - fast overview"
description: "Chain: tldr tree → tldr structure (~1 min)"
- label: "Deep - comprehensive analysis"
description: "Chain: onboard → tldr → research → document (~5 min)"
- label: "Architecture - layers & dependencies"
description: "Chain: tldr arch → call graph → layer mapping (~3 min)"
Mapping:
- "Help me choose" → Continue to Phase 1-4 questions
- "Quick" → Set depth=quick, skip to Phase 2 (scope)
- "Deep" → Set depth=deep, skip to Phase 2 (scope)
- "Architecture" → Set depth=architecture, skip to Phase 2 (scope)
If Answer is Unclear (via "Other"):
question: "I want to understand how deep you want to explore. Did you mean..."
header: "Clarify"
options:
- label: "Help me choose"
description: "Not sure - guide me through questions"
- label: "Quick - fast overview"
description: "Just want to see what's here"
- label: "Deep - comprehensive analysis"
description: "Need thorough understanding"
- label: "Neither - let me explain differently"
description: "I'll describe what I need"
Phase 1: Exploration Goal
question: "What are you trying to understand?"
header: "Goal"
options:
- label: "Get oriented in the codebase"
description: "Quick overview of structure"
- label: "Understand how something works"
description: "Deep dive into specific area"
- label: "Map the architecture"
description: "Layers, dependencies, patterns"
- label: "Find where something is"
description: "Locate specific code/functionality"
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 · 467 lines · 21 tokens per session scan A d119022c8df2
explore is a skill published in the GitHub repository parcadei/Continuous-Claude-v3 (3,946 stars, last pushed 9mo ago), licensed MIT. It adds 21 tokens to every session and 3,038 once invoked, about $0.0001 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 2026-09-03.
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