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 skills/parcadei/continuous-claude-v3/explorenpx 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.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 | $0.00021 | $0.03038 |
| Opus 5 | $0.00010 | $0.01519 |
| Sonnet 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 yesterday.
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.
- yesterday First seen · 467 lines · 21 tokens per session scan A d119022c8df2
explore is a skill published in the GitHub repository parcadei/Continuous-Claude-v3 (3,934 stars, last pushed 7mo ago), licensed MIT. It adds 21 tokens to every session and 3,038 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.
Other skills, from other repositories
codebase-organizer
Universal codebase operations: analyze, organize, and architecturally deepen any repo. Two commands: /organize for read-only analysis and /deepen for multi-agent refactoring. Use when the user wants a codebase scan, deep module scoring, dependency mapping, architectural improvement, or code-to-skill conversion.…
codebase-onboarding
Use when you land in an unfamiliar or inherited codebase and must get productive fast: a breadth-first map of entry points, request flow, module ownership, hidden side effects (cron, webhooks, workers) and churn hotspots, committed as CODEBASE-MAP.md. NOT a deep audit of one module (that is analyze) or chasing one…
explain-codebase
Drop into any repo and generate a structured architecture overview. Maps the codebase, identifies entry points, frameworks, and dependencies — then produces a "start here" guide for new contributors.
codebase-gap-analysis
Analyze a user's codebase against a reference architecture to identify gaps and provide prioritized enhancement recommendations.
context-builder
Gather comprehensive project context before starting implementation. Use at the beginning of complex tasks to understand codebase structure, dependencies, patterns, and conventions before writing code.
repo-onboarding
Systematically map an unfamiliar codebase before changing it — entry points, build/test loop, conventions, data flow. Use when starting work in a repo you haven't seen, or asked "how does this codebase work?".