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Weave

Listed
restorenode·vlatest·writing

Weave seamlessly blends multiple documents into a cohesive narrative, saving time and ensuring consistent messaging across your content.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it initia-appchain-dev, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add restorenode/hackathon-skills --skill initia-appchain-dev -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

restorenode

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 5 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: docs.docker.com, docs.initia.xyz, foundry.paradigm.xyz, rpc.testnet.initia.xyz, sh.rustup.rs.

    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

    foundry.paradigm.xyzundeclaredsh.rustup.rsundeclared127.0.0.1localrpc.testnet.initia.xyzundeclareddocs.docker.comundeclaredgithub.comsource hostraw.githubusercontent.comsource hostdocs.initia.xyzundeclared

    What it found (3 of 6)

    • skill/references/contracts.md:52contacts foundry.paradigm.xyz
      curl -L https://foundry.paradigm.xyz | bash
    • skill/references/contracts.md:60contacts sh.rustup.rs
      curl https://sh.rustup.rs -sSf | sh -s -- -y
    • skill/scripts/fund-user.sh:64contacts rpc.testnet.initia.xyz
      EXTRA_FLAGS=(--node "https://rpc.testnet.initia.xyz:443" --gas-prices "0.015uinit")

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 2 places.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • skill/references/contracts.md:52remote script piped into a shell
      curl -L https://foundry.paradigm.xyz | bash
    • skill/references/contracts.md:60remote script piped into a shell
      curl https://sh.rustup.rs -sSf | sh -s -- -y

  • 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 restorenode/hackathon-skills at 7faaab673e.

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

Commit
7faaab673e
Manifest
skill/SKILL.md
Scanned
22 files, 4,030 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 weave skill allows AI agents to combine multiple text inputs into a single, cohesive output. It can take several pieces of information – such as different paragraphs or lists – and integrate them into a unified document or response. This is useful for summarizing disparate sources or creating complex narratives from various components.

When to use it

  • Summarizing research: Combine findings from multiple articles into a concise overview.
  • Creating reports: Integrate data points, analysis, and conclusions from different sections into a comprehensive report.
  • Generating creative content: Merge character descriptions, plot outlines, and world-building notes to draft a story or script.
  • Consolidating feedback: Weave together comments from multiple reviewers into a single, actionable list.

Key capabilities

  • Combines multiple text inputs
  • Creates cohesive output
  • Integrates disparate information

Example prompts

  • "Weave these three paragraphs about climate change into a single summary."
  • "Combine this character description with this plot outline to generate the first chapter of my novel."
  • "Please weave together these customer reviews and identify common themes."

Tips & gotchas

The quality of the woven output depends heavily on the clarity and relevance of the input texts. Ensure the inputs are well-structured and logically related for best results.