explore

A research workflow that splits a question or codebase investigation among several agents, then compares their findings before producing a combined report. It requires Claude Code's agent teams setting.

In plain words
What is it for?
Use it to investigate unfamiliar code, understand how a system works, or research a topic from several perspectives.
Why use it?
It reduces the chance that one investigation misses an important angle or accepts a weak finding without challenge.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/drn/dots/explore
Any agent
npx skills add drn/dots --skill explore
Clone the repo
git clone --depth 1 https://github.com/drn/dots

Made for: Claude Code, Codex.

Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,970 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00029 $0.01970
Opus 5 $0.00015 $0.00985
Sonnet 5 $0.00006 $0.00394
Haiku 4.5 $0.00003 $0.00197

Measured 2d ago against content hash 848c38886b78, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 2d 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.

agents/skills/explore/SKILL.md · 244 lines

How it starts

The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Parallel Research & Exploration

Spawn multiple researchers to investigate different angles of a question in parallel. They challenge each other's findings before the lead synthesizes a final report.

Prerequisites

Agent teams must be enabled in Claude Code settings:

CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1

If agent teams are not enabled, report: "Agent teams required. Add CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 to your Claude Code settings (env section)." and stop.

Arguments

  • $ARGUMENTS - Required: the question, topic, or codebase area to explore

If no arguments are provided, ask the user what they want to understand.

Context

  • Current branch: !git branch --show-current
  • Project root: !pwd
  • Project type: !find . -maxdepth 1 \( -name go.mod -o -name Gemfile -o -name package.json -o -name Cargo.toml -o -name pyproject.toml -o -name setup.py -o -name requirements.txt -o -name pom.xml -o -name build.gradle -o -name Makefile \) 2>/dev/null | head -5
  • Directory structure: !find . -maxdepth 2 -type d -not -path '*/\.*' -not -path '*/node_modules/*' -not -path '*/vendor/*' | head -30

Overview

You are the lead researcher coordinating an exploration team. Your job is to break a question into research angles, assign them, moderate peer review of findings, and synthesize a final report.

Research question: $ARGUMENTS

You do NOT research yourself. You decompose the question, assign angles, moderate challenges, and synthesize.

Why teams: Researchers share findings with each other and challenge weak conclusions. A researcher who found "the cache is in Redis" gets corrected by another who found "actually it's Memcached in this service." This peer-challenge step filters out wrong conclusions before they reach the final report.


Phase 0: Setup

  1. Analyze the question and break it into 3-4 distinct research angles. Each angle should:
    • Cover a different aspect of the question
    • Be independently investigable
    • Produce findings useful to the other researchers

Read the full file on GitHub · 244 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. 2d ago First seen · 244 lines · 29 tokens per session scan A 848c38886b78

Subscribe to this mod's changes

explore is a skill published in the GitHub repository drn/dots (23 stars, last pushed 3d ago), licensed MIT. It adds 29 tokens to every session and 1,970 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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