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Openclaw Cost Optimization

Listed
iammarcin·vlatest·agents

Analyzes OpenClaw game states to suggest optimal actions minimizing resource consumption and maximizing reward.

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 iammarcin/cc4life --skill openclaw-cost-optimization -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

iammarcin

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 2 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 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: ollama.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

    ollama.comundeclared

    What it found

    • skills/openclaw-cost-optimization/SKILL.md:213contacts ollama.com
      curl -fsSL https://ollama.com/install.sh | sh
  • 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

    • skills/openclaw-cost-optimization/SKILL.md:213remote script piped into a shell
      curl -fsSL https://ollama.com/install.sh | sh
  • 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.

  • 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.

  • Pinned to a commit: passed

    Scanned iammarcin/cc4life at ec262fb3e5.

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

Scanned
1 file, 379 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 openclaw-cost-optimization skill helps AI agents analyze and reduce operational costs. It identifies areas of inefficiency in cloud resource usage, suggests optimizations like right-sizing instances or utilizing reserved capacity, and can potentially automate cost-saving actions. This skill aims to minimize unnecessary spending while maintaining performance levels.

When to use it

  • Cloud bill shock: When you notice unexpectedly high cloud costs and need help understanding where the money is going.
  • Resource optimization: To proactively identify opportunities for reducing cloud resource consumption without impacting application performance.
  • Reserved instance planning: To determine if purchasing reserved instances would be cost-effective based on current usage patterns.
  • New project budgeting: To estimate and control costs associated with a new AI or software project deployed in the cloud.

Key capabilities

  • Cost analysis & reporting
  • Resource right-sizing recommendations
  • Reserved instance evaluation
  • Potential automation of cost-saving actions (implied)

Example prompts

  • "Analyze my AWS spending for the last month and identify potential areas for optimization."
  • "What are some ways I can reduce the cost of running this Kubernetes cluster?"
  • "Should I purchase reserved instances for these EC2 instances? Provide a recommendation based on usage data."

Tips & gotchas

The skill's effectiveness depends on having access to cloud resource usage data. Ensure appropriate permissions and connectivity are configured before using it.