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Loop Execution Evaluator

Checked
ibrahim-3d·vlatest·other·AGPL-3.0

This skill analyzes loop execution results to identify errors and optimize performance, ensuring loops run correctly and efficiently.

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 ibrahim-3d/orchestrator-supaconductor --skill loop-execution-evaluator -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

ibrahim-3d

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 ibrahim-3d/conductor-orchestrator-superpowers at 76c9b10023.

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

Commit
76c9b10023
Manifest
skills/loop-execution-evaluator/SKILL.md
Scanned
1 file, 190 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 Loop Execution Evaluator skill allows AI agents to execute loops and evaluate their results. It can iterate through lists, perform calculations within each iteration, and return aggregated data based on the loop's execution. This enables complex tasks that require repeated actions or analysis of sequential information.

When to use it

  • Data Processing: When you need an agent to process a list of items (e.g., images, text files) and perform a specific action on each one.
  • Financial Calculations: To calculate compound interest over a series of periods or analyze investment returns iteratively.
  • Simulation & Modeling: When running simulations that require repeated steps with changing parameters to observe outcomes.
  • Report Generation: To generate reports based on data extracted from multiple sources, requiring iteration and aggregation.

Key capabilities

  • Loop execution
  • Iteration through lists
  • Calculation within loops
  • Data aggregation

Example prompts

  • "Calculate the sum of squares for numbers 1 to 10."
  • "Process each image in this folder, resize it to 256x256, and save it with a new name."
  • "For each product in this list, calculate its profit margin based on cost and sales price."

Tips & gotchas

The skill requires clear input data structures (e.g., lists) for proper execution. Ensure the agent has access to necessary libraries or functions if calculations within the loop depend on external resources.