Science Superpowers plugin for Grok Build

Community Claude Code plugin, installs in GrokPluginTesting

Composable computational-science methodology skills for AI research agents — pre-registration over TDD. A science-domain reimplementation of Superpowers.

How to install Science Superpowers in Grok Build

grok plugin install K-Dense-AI/science-superpowers --trust
✓ Install-checked in Grok Buildchecked Oct 18, 2026

Review before you trust it. --trust lets this plugin's hooks, MCP servers and scripts run code on your computer. It's a community repo that neither xAI nor GrokStacks has reviewed, so read its code first.

We install this repo directly: Grok Build 1.0.62 can't install it through its own marketplace file. Then start a new Grok session, or press r in /plugins, to load it.

Command format: Grok Build's plugin guide

What we checked: on Oct 18, 2026 it installed with grok 1.0.62 and Grok found 16 skills. That's an install check only: we haven't run it in a live Grok session.

What it contains

Skills (16)

  • designing-the-analysis — Use when you have an approved research question and need a concrete analysis plan, before touching outcome data or fitting any model
  • dispatching-parallel-investigations — Use when facing 2+ independent investigations that can proceed without shared state - parallel literature survey, multi-dataset replication, or pre-specified robustness checks
  • establishing-feasibility-first — Use when your human partner has explicitly opted into exploratory or feasibility mode - a compute-heavy simulation, an unproven pipeline, an unbenchmarked solver, an untested cluster job - or when whether the work can run at all is still un
  • executing-analysis — Use when you have a pre-registered analysis plan to execute inline in this session with review checkpoints, on a platform without subagents
  • framing-research-questions — You MUST use this before any data analysis or investigation - before exploring a dataset, loading or profiling data, running a model, computing a statistic, or testing an idea, and before any outcome data is touched
  • investigating-anomalous-results — Use when a result is surprising, impossible, contradicts a sanity check, a pipeline fails, a model won't converge, or a replication fails - before adjusting anything
  • preregistering-analysis — Use before running any confirmatory analysis or looking at outcome data, when testing a hypothesis, computing a p-value, or about to claim an effect - locks predictions and decision rules before results are seen
  • receiving-critical-review — Use when receiving critical feedback on an analysis or manuscript, before implementing suggestions, especially if feedback seems unclear or methodologically questionable - requires verification, not performative agreement or blind changes
  • reporting-and-archiving-findings — Use when an analysis is complete and verified, and you need to decide how to report it and archive the work for reproducibility
  • requesting-red-team-review — Use after completing an analysis or before reporting a finding, to have a skeptical reviewer attack the conclusion before you believe it
  • setting-up-reproducible-analysis — Use when starting analysis work that needs isolation, or before executing a pre-registered plan - ensures an isolated, reproducible workspace with pinned environment, fixed seeds, and immutable raw data
  • subagent-driven-analysis — Use when executing a pre-registered analysis plan with mostly independent steps in the current session
  • surveying-prior-work — Use after framing a question and before designing an analysis, or when choosing a method, judging whether a result is novel, or needing a prior effect size for a power calculation
  • using-science-superpowers — Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
  • verifying-results-before-claiming — Use when about to claim a result, effect, significance, or that an analysis reproduces, before reporting or writing it up - requires running the analysis fresh and reading the actual output first; evidence before claims always
  • writing-science-skills — Use when creating new skills, editing existing skills, or verifying skills work before deployment

Hooks (1)

  • hooks — SessionStart

About this listing

Science Superpowers is a community plugin on GitHub by K-Dense-AI, written as a Claude Code plugin that Grok Build installs. We install-checked it in Grok; we haven't run it in a live session or reviewed its code. When we installed it, Grok found 16 skills, 1 hook. No license stated in the repo, so check with the author before reusing its code. We checked commit 0374bdf82c23. It's one of 34 listings in the Testing category on GrokStacks. It also appears in best Grok Build plugins for testing.

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Science Superpowers FAQ

How do I install Science Superpowers in Grok Build?

Run grok plugin install K-Dense-AI/science-superpowers --trust. We install-checked this command in Grok Build. We install this repo directly: Grok Build 1.0.62 can't install it through its own marketplace file. Then start a new Grok session, or press r in /plugins, to load it.

Is Science Superpowers an official Grok Build plugin?

No. Science Superpowers is a community plugin on GitHub by K-Dense-AI, not in xAI's official Grok Build marketplace. We checked that it installs and what Grok loads from it, but haven't run it in a live Grok session or reviewed its code.

What does Science Superpowers include?

According to what Grok loaded in our install check, Science Superpowers includes 16 skills, 1 hook: designing-the-analysis, dispatching-parallel-investigations, establishing-feasibility-first, executing-analysis, framing-research-questions, investigating-anomalous-results….

Details

Type
Plugin
Category
Testing
Source
Community Claude Code plugin, installs in Grok
License
No license stated
Author
K-Dense-AI
Version
0.1.0
Keywords
agent-skills, ai-agents, computational-science, preregistration, reproducible-research
Source repo
https://github.com/K-Dense-AI/science-superpowers
Checked commit
0374bdf82c23
Homepage
https://www.k-dense.ai
Checked by GrokStacks
Install-checked in Grok Build on Oct 18, 2026; not run in a live session

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For maintainers: badge and embeds

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Listed on GrokStacks

Markdown

[![Listed on GrokStacks](https://grokstacks.com/badge.svg)](https://grokstacks.com/p/science-superpowers/)

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<a href="https://grokstacks.com/p/science-superpowers/"><img src="https://grokstacks.com/badge.svg" alt="Listed on GrokStacks" width="164" height="28"></a>

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<a href="https://grokstacks.com/p/science-superpowers/" style="display:block;max-width:380px;box-sizing:border-box;padding:14px 16px;border:1px solid #2a2e3c;border-radius:12px;background:#0a0b0f;color:#e8eaf0;font:14px/1.45 -apple-system,Segoe UI,Roboto,Helvetica,Arial,sans-serif;text-decoration:none"><span style="display:block;font-size:16px;font-weight:700;color:#e8eaf0">Science Superpowers</span><span style="display:block;margin:2px 0 8px;font-size:12px;color:#9aa0b1">Community plugin for Grok Build · 16 skills, 1 hook</span><span style="display:block;margin:0 0 10px;color:#c9cdd8">Composable computational-science methodology skills for AI research agents — pre-registration over TDD. A…</span><span style="font-size:12px;font-weight:600;color:#7c9cff">View on GrokStacks →</span></a>

Markdown summary

**[Science Superpowers on GrokStacks](https://grokstacks.com/p/science-superpowers/)**: Community plugin for Grok Build with 16 skills, 1 hook. Install: `grok plugin install K-Dense-AI/science-superpowers --trust`

More on badges, embeds and keeping your listing up to date: GrokStacks for plugin authors.

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