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Relay Fragments Patterns

Checked
thebushidocollective·vlatest·other

Identifies recurring data patterns within fragmented information to reconstruct context and reveal hidden connections.

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 thebushidocollective/han --skill relay-fragments-patterns -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

thebushidocollective

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 thebushidocollective/han at 19caa51d5f.

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

Commit
19caa51d5f
Manifest
plugins/frameworks/relay/skills/relay-fragments-patterns/SKILL.md
Scanned
1 file, 657 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

This skill, relay-fragments-patterns, allows an AI agent to extract and relay specific data fragments based on defined patterns. It can identify structured information within text or other data sources and transmit only the relevant portions. This is useful for summarizing large documents or extracting key details from complex reports.

When to use it

  • Summarizing legal contracts: Extract clauses related to liability or termination dates.
  • Analyzing customer feedback: Identify recurring themes or sentiment expressed in reviews.
  • Processing scientific papers: Relay experimental results and statistical significance data.
  • Extracting product specifications: Pull key features and technical details from product documentation.

Key capabilities

  • Pattern-based fragment extraction
  • Data relay functionality
  • Support for various data sources (implied)

Example prompts

  • "Extract all dates related to payment deadlines from this contract."
  • "Find and relay the sentiment expressed towards feature X in these customer reviews."
  • "Give me only the experimental results section from this scientific paper."

Tips & gotchas

The effectiveness of this skill depends heavily on the accuracy and specificity of the defined patterns. Ensure your pattern definitions are precise to avoid extracting irrelevant information or missing crucial data fragments.