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Morph Search

Checked
parcadei·vlatest·other·MIT

Morph-Search rapidly explores diverse data formats and structures to locate hidden information based on evolving search criteria.

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 parcadei/continuous-claude-v3 --skill morph-search -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

parcadei

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 parcadei/continuous-claude-v3 at d07ff4b06b.

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

Commit
d07ff4b06b
Manifest
.claude/skills/morph-search/SKILL.md
Scanned
1 file, 60 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 morph-search skill allows an AI agent to iteratively refine search queries based on initial results. It can take a broad starting point and progressively narrow down the scope, incorporating new terms or adjusting phrasing as needed. This is particularly useful when exploring complex topics where the ideal keywords are initially unknown.

When to use it

  • Researching unfamiliar topics: Use it when you need to learn about something but aren't sure what search terms will be most effective.
  • Finding specific information within a large dataset: If initial searches yield too many irrelevant results, morph-search can help focus the query.
  • Exploring nuanced concepts: When dealing with ideas that have multiple interpretations or related terminology, this skill helps discover all relevant aspects.
  • Generating content ideas: Start with a general topic and let the agent refine the search to uncover unique angles and potential content directions.

Key capabilities

  • Iterative query refinement
  • Incorporation of new terms based on initial results
  • Adjustment of phrasing for improved precision
  • Broad starting point support

Example prompts

  • "Research the history of artificial intelligence."
  • "Find information about sustainable agriculture practices, but start with a broad search and refine as needed."
  • "I want to learn about quantum computing; begin with a general overview and then explore specific applications."

Tips & gotchas

The skill's effectiveness depends on the agent’s ability to interpret initial results and identify relevant terms for refinement. Providing some context or desired outcome can help guide the iterative search process.