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Physicist Analyst

Checked
rysweet·vlatest·other

This Physicist Analyst skill dissects complex physics problems, offering insightful explanations and calculations for enhanced understanding.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add rysweet/amplihack --skill physicist-analyst -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

rysweet

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned rysweet/amplihack at 84424457d5.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
8 files, 5,150 lines
Copies in repo
2 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The Physicist Analyst skill enables AI agents to dissect complex problems through a physics-based lens. It applies fundamental physical laws like conservation of energy and momentum, thermodynamics, electromagnetism, and relativity to understand causation, evaluate technological feasibility, and analyze energy systems. The skill also incorporates quantitative modeling, dimensional analysis, and systems dynamics to identify physical limits governing complex scenarios.

When to use it

  • Energy Systems Analysis: Evaluating the efficiency and performance of energy production and storage technologies.
  • Technology Feasibility Assessment: Determining if a proposed technology aligns with established physical laws and constraints.
  • Complex Systems Dynamics: Analyzing emergent behavior in systems involving feedback loops and scaling effects.
  • Climate Physics: Understanding radiative forcing, heat transfer, and atmospheric dynamics within the context of climate change.

Key capabilities

  • Application of conservation laws (energy, momentum, mass-energy, angular momentum, charge)
  • Analysis using thermodynamics principles, including the second law (entropy increase).
  • Quantitative modeling based on physical principles.
  • Dimensional analysis and scaling to understand system behavior across different scales.
  • Assessment of technological feasibility within physical constraints.

Example prompts

  • "Analyze the energy efficiency of a proposed fusion reactor design."
  • "Can a perpetual motion machine be built, considering the laws of thermodynamics?"
  • "What are the fundamental limits on data transmission speed given current understanding of physics?"

Tips & gotchas

  • The skill operates under the core principle that conservation laws are inviolable. Any proposed solution violating these laws is likely flawed.
  • Thermodynamics, particularly the second law (entropy), sets absolute efficiency limits; circumventing them is impossible.
  • Precise quantitative understanding and measurement are essential for accurate analysis.