Skip to content
TrustedSkillsbeta
Back to all skills

Contagious

Checked
wondelai·vlatest·other·MIT

This skill simulates a spreading trend or idea within a group, revealing emergent behaviors and potential shifts in opinion.

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 wondelai/skills --skill contagious -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

wondelai

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 wondelai/skills at c172996495.

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

Commit
c172996495
Manifest
contagious/SKILL.md
Scanned
30 files, 7,341 lines
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

The contagious skill allows an AI agent to simulate and model the spread of information or behaviors within a population. It can predict how quickly something will become widespread, identify key influencers in a network, and assess the impact of interventions designed to either accelerate or decelerate adoption. The skill uses mathematical models to represent these processes, providing insights beyond simple observation.

When to use it

  • Marketing Campaign Planning: Predict viral marketing potential and optimize messaging for maximum reach.
  • Public Health Simulations: Model the spread of a disease or health behavior (e.g., vaccination) within a community.
  • Social Network Analysis: Identify influential users in an online network to understand information flow.
  • Rumor Tracking: Analyze how quickly and widely rumors or misinformation might propagate through a group.

Key capabilities

  • Simulates the spread of behaviors/information.
  • Predicts adoption rates over time.
  • Identifies key influencers within a population.
  • Models the impact of interventions (e.g., awareness campaigns).

Example prompts

  • "Model how quickly a new product feature will be adopted by our user base, assuming 10% initial interest."
  • "Simulate the spread of misinformation about climate change through Twitter, starting with 5 influential accounts."
  • "Predict the impact of a public health campaign promoting handwashing on reducing infection rates in a school."

Tips & gotchas

The accuracy of the simulation depends heavily on the quality and relevance of the input data. Ensure you have realistic estimates for initial adoption rates and network connectivity to get meaningful results.