Skip to content
TrustedSkillsbeta
Back to all skills

Sigma

Checked
sanyuan0704·vlatest·other·MIT

Sigma generates diverse, creative text formats – poems, code, scripts, musical pieces, email, letters, etc. – boosting content creation and sparking new ideas.

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 sanyuan0704/sanyuan-skills --skill sigma -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

sanyuan0704

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 sanyuan0704/sanyuan-skills at 08b6572ef1.

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

Commit
08b6572ef1
Manifest
skills/sigma/SKILL.md
Scanned
5 files, 1,119 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

The sigma skill provides a way to calculate statistical significance. It can determine p-values and perform hypothesis testing, allowing users to assess the likelihood of results occurring by chance. This is useful for analyzing data and drawing conclusions based on evidence rather than intuition.

When to use it

  • A/B Testing: Determine if changes to a website or app are statistically significant improvements over the original version.
  • Scientific Research: Evaluate the significance of experimental results and support claims with statistical analysis.
  • Market Analysis: Assess whether observed trends in customer behavior are real or due to random variation.
  • Data Validation: Check if data sets have anomalies that could indicate errors or biases.

Key capabilities

  • P-value calculation
  • Hypothesis testing
  • Statistical significance assessment

Example prompts

  • "Calculate the p-value for a t-test with these values: [list of values]"
  • "Perform a hypothesis test to see if there's a significant difference between group A and group B."
  • "What is the statistical significance of this data set?"

Tips & gotchas

The skill requires numerical input. Ensure that the provided data is in a suitable format for statistical analysis, such as lists or arrays of numbers.