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Claude Scientific Skills

Listed
sickn33·vlatest·ai-ml·MIT

Leverages Claude’s advanced reasoning to analyze and synthesize complex scientific data, boosting research efficiency and understanding.

Repository

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 sickn33/agentic-awesome-skills --skill claude-scientific-skills -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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Commit
5a4cdd9df8
Manifest
skills/claude-scientific-skills/SKILL.md
Scanned
0 files
Copies in repo
3 — 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

This skill equips AI agents with specialized capabilities to handle complex scientific inquiries, data analysis, and research tasks. It enables the agent to process technical literature, interpret experimental results, and generate structured scientific reports with high precision.

When to use it

  • Analyzing raw datasets from laboratory experiments to identify trends or anomalies.
  • Summarizing dense academic papers into actionable insights for researchers.
  • Drafting methodology sections for grant proposals or research publications.
  • Explaining complex theoretical concepts in physics, chemistry, or biology to non-experts.

Key capabilities

  • Interpreting and synthesizing information from scientific literature and journals.
  • Performing data-driven analysis and generating visualizable results.
  • Formulating hypotheses and designing experimental frameworks.
  • Producing citations and references in standard academic formats.

Example prompts

  • "Analyze this CSV file containing temperature readings and predict the optimal cooling rate based on historical patterns."
  • "Summarize the key findings from the provided PDF on quantum entanglement and explain its implications for cryptography."
  • "Draft a methodology section for a study on soil erosion, including statistical analysis tools I should use."

Tips & gotchas

Ensure you provide clear context about the specific scientific domain (e.g., molecular biology vs. astrophysics) to maximize accuracy. Always verify critical numerical data or citations generated by the agent against primary sources before publication.