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Swarm

Listed
chair4ce·vlatest·agents

The Swarm agent orchestrates multiple simple agents to tackle complex tasks efficiently, boosting productivity and automation.

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 chair4ce/node-scaling --skill swarm -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

chair4ce

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 3 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.

  • No undeclared network calls: failed

    Contacts 11 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: aistudio.google.com, benefits.va.gov, console.anthropic.com, console.groq.com, html.duckduckgo.com….

    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.

    Hosts contacted

    benefits.va.govundeclaredskillbridge.osd.milundeclaredwww.va.govundeclaredwww.careeronestop.orgundeclaredwww.mynextmove.orgundeclaredwww.sba.govundeclaredwww.hirevets.govundeclaredaistudio.google.comundeclaredconsole.groq.comundeclaredplatform.openai.comdocumentationconsole.anthropic.comundeclaredraw.githubusercontent.comsource hostnodejs.orgdocumentationgithub.comsource hostapi.anthropic.commodel providergenerativelanguage.googleapis.commodel providerapi.groq.commodel providerapi.openai.commodel providerhtml.duckduckgo.comundeclared

    What it found (3 of 11)

    • bench.js:14contacts benefits.va.gov
      { url: 'https://benefits.va.gov/transition', name: 'VA Transition' },
    • bench.js:15contacts skillbridge.osd.mil
      { url: 'https://skillbridge.osd.mil/', name: 'SkillBridge' },
    • bench.js:16contacts www.va.gov
      { url: 'https://www.va.gov/education/about-gi-bill-benefits/', name: 'GI Bill' },
  • No credential access: failed

    Touches credential material in 1 place.

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

    What it found

    • lib/errors.js:35OS keychain / credential manager
      diag.suggestion = 'Check your API key. Run: security find-generic-password -a oaiken -s "gemini/api-key" -w';
  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 1 place.

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

    What it found

    • install.sh:6remote script piped into a shell
      # Usage: curl -fsSL https://raw.githubusercontent.com/clawdbot/node-scaling/main/install.sh | bash
  • 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 obfuscated payloads: passed

    No encoded or obfuscated payloads.

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

  • Pinned to a commit: passed

    Scanned chair4ce/node-scaling at e3c6f0d87c.

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

Manifest
SKILL.md
Scanned
60 files, 12,642 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 chair4ce-swarm skill enables AI agents to distribute tasks across multiple nodes, effectively creating a swarm. This allows for parallel processing of complex operations and increased throughput. It manages node assignment, task distribution, and result aggregation, optimizing resource utilization and improving overall performance.

When to use it

  • Large data processing: When dealing with datasets too large for a single agent to handle efficiently.
  • Complex simulations: To run multiple simulation instances concurrently, accelerating the analysis process.
  • Parallel computations: For tasks that can be broken down into independent sub-tasks and executed simultaneously.
  • Resource intensive operations: When an operation requires significant computational resources or time.

Key capabilities

  • Node assignment and management
  • Task distribution across nodes
  • Result aggregation from multiple nodes
  • Parallel processing of tasks

Example prompts

  • "Distribute the image classification task to all available nodes."
  • "Run 10 simulations concurrently using swarm mode."
  • “Process this large CSV file in parallel, assigning chunks to different nodes.”

Tips & gotchas

The skill requires access to a cluster of nodes for effective operation. Ensure sufficient resources are allocated to each node to prevent bottlenecks and maintain optimal performance.