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Hypothesis Generation

Checked
ovachiever·vlatest·other

Generates testable hypotheses from data to guide experimentation and accelerate discovery across diverse fields.

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 ovachiever/droid-tings --skill hypothesis-generation -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

ovachiever

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 ovachiever/droid-tings at 7acd12a754.

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

Commit
7acd12a754
Manifest
skills/hypothesis-generation/SKILL.md
Scanned
5 files, 1,482 lines
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 generates hypotheses based on provided information. It can synthesize data and suggest potential explanations or relationships within a given context. The generated hypotheses are intended to be testable, providing a starting point for further investigation or experimentation.

When to use it

  • Brainstorming research questions: Use it when you need initial ideas for exploring a topic.
  • Analyzing datasets: Generate possible explanations for observed trends or anomalies in data.
  • Developing experimental designs: Formulate testable hypotheses before conducting experiments.
  • Exploring complex problems: Break down multifaceted issues into smaller, more manageable components with potential causal links.

Key capabilities

  • Hypothesis generation
  • Data synthesis
  • Testable explanation suggestion

Example prompts

  • "Generate a hypothesis about the relationship between social media usage and sleep quality."
  • "Based on these sales figures [insert data], what are some possible explanations for the decline?"
  • “I’ve observed that plants grow faster with more sunlight. Generate a testable hypothesis.”

Tips & gotchas

The skill's output is intended as a starting point and requires critical evaluation. Always verify generated hypotheses against existing knowledge and conduct further research to validate them.