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Decode

Checked
ncssm-robotics·vlatest·other·MIT

Decode analyzes complex data streams to extract key insights and patterns, streamlining understanding for faster decision-making.

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 ncssm-robotics/ftc-claude --skill decode -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

ncssm-robotics

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 ncssm-robotics/ftc-claude at 670e8c6722.

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

Commit
670e8c6722
Manifest
plugins/decode/skills/decode/SKILL.md
Scanned
6 files, 881 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 decode skill allows AI agents to interpret and understand encoded data. It can handle various encoding schemes, translating them into readable formats. This includes decoding text from different character sets or interpreting data structures represented in a compressed form.

When to use it

  • Analyzing Log Files: Deciphering obfuscated messages within system logs for troubleshooting purposes.
  • Reverse Engineering: Understanding the output of proprietary software by decoding its internal representations.
  • Data Recovery: Recovering information from corrupted or partially encoded files.
  • Cryptography (Basic): Decoding simple ciphers and encoding schemes to reveal hidden messages.

Key capabilities

  • Decoding various character sets
  • Interpreting compressed data structures
  • Handling obfuscated text
  • Reverse engineering basic encoding schemes

Example prompts

  • "Decode this string: 'g1k7v3l9' "
  • "Can you interpret this encoded log message?"
  • "What does this compressed file contain?"

Tips & gotchas

The skill’s effectiveness depends on knowing the specific encoding scheme used. Providing context or hints about the type of encoding will significantly improve decoding accuracy.