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 drn/dots --skill exploregit clone --depth 1 https://github.com/drn/dotsWrote 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/drn/dots/explore)<a href="https://agentmods.dev/skills/drn/dots/explore"><img src="https://agentmods.dev/badge/skills/drn/dots/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/drn/dots/explore"><img src="https://agentmods.dev/badge/skills/drn/dots/explore.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00029 | $0.01970 |
| Opus 5.5 | $0.00012 | $0.00788 |
| Sonnet 5.5 | $0.00006 | $0.00394 |
| Haiku 4.5 | $0.00003 | $0.00197 |
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 — 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
- 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
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 · 244 lines · 29 tokens per session scan A 848c38886b78
explore is a skill published in the GitHub repository drn/dots (23 stars, last pushed 11d ago), licensed MIT. It adds 29 tokens to every session and 1,970 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 2026-08-30.
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