explore

explore is a skill for Claude Code from juicesharp/rpiv-pi. It costs 38 tokens per session (3,669 once invoked), scanned A, original, MIT.

A codebase research workflow for comparing several ways to implement a feature or change. It records the findings and recommendation in a shared solutions document.

In plain words
What is it for?
Use it to compare implementation options, review pros and cons, and recommend an approach for a new feature or code change.
Why use it?
It helps when more than one approach could work and the trade-offs are easy to miss. It gathers the relevant constraints before a design or implementation choice is made.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit Use it to compare implementation options, review pros and cons, and recommend an approach for a new feature or code change.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/juicesharp/rpiv-pi/explore
Install

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.

Any agent
npx skills add juicesharp/rpiv-pi --skill explore
Clone the repo
git clone --depth 1 https://github.com/juicesharp/rpiv-pi

Made for: Claude Code.

Wrote 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.

agentmods badge for explore

README.md
[![agentmods](https://agentmods.dev/badge/skills/juicesharp/rpiv-pi/explore.svg)](https://agentmods.dev/skills/juicesharp/rpiv-pi/explore)
Your own site
<a href="https://agentmods.dev/skills/juicesharp/rpiv-pi/explore"><img src="https://agentmods.dev/badge/skills/juicesharp/rpiv-pi/explore.svg" alt="Measured on agentmods" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,669 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.03669
Opus 5 $0.00019 $0.01835
Sonnet 5 $0.00008 $0.00734
Haiku 4.5 $0.00004 $0.00367

Measured 8d ago against content hash 3e45dd45dd0f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

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 8d 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.

skills/explore/SKILL.md · 346 lines

How it starts

The opening of the file, as written. The whole thing — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Solutions

You are tasked with analyzing solution options for new features or changes by invoking parallel skills and synthesizing their findings into actionable recommendations optimized for design consumption.

Initial Setup:

When this command is invoked, respond with:

I'm ready to research solution options. Please provide:
- What feature/change you want to explore
- Any requirements or constraints you know about
- Reference to relevant ticket or research documents if available

I'll analyze the current codebase, generate solution options, and provide recommendations.

Then wait for the user's request.

Steps

Step 1: Read Mentioned Files

  • If user mentions tickets, research docs, or other files, read them FULLY first
  • IMPORTANT: Use Read tool WITHOUT limit/offset parameters
  • CRITICAL: Read these files in main context before invoking skills
  • Extract requirements, constraints, and goals
  • Identify what problem we're solving

Step 2: Generate Candidates and Dimensions

Generate 2–4 named candidates from three sources, then merge into one shortlist:

  • Ecosystem scan — spawn web-search-researcher for any topic where the candidate space includes external libraries, frameworks, or services. Prompt it to return 2–4 named options with one-line "what it is" + canonical doc link per option. Skip only when the topic is wholly internal (e.g., "how to organize this service layer") and the orchestrator's design-space enumeration plus the user shortlist already cover the space.
  • Design-space enumeration — orchestrator names abstract shapes from first principles when applicable (pub/sub vs direct-call vs event-bus; sync vs async; manual mapping vs auto-mapper). One-line "what it is" per shape.
  • User shortlist — if the user pre-named candidates in the entry prompt ("compare TanStack Query vs SWR"), include those verbatim.

Merge to 2–4 candidates total. Name each with a short noun phrase ("TanStack Query", "Direct event bus"). Deduplicate.

Read the full file on GitHub · 346 lines

Changes

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.

  1. 8d ago First seen · 346 lines · 38 tokens per session scan A 3e45dd45dd0f

Subscribe to this mod's changes

explore is a skill published in the GitHub repository juicesharp/rpiv-pi (11 stars, last pushed 4mo ago), licensed MIT. It adds 38 tokens to every session and 3,669 once invoked, about $0.0002 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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