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Rehypothecation Hook

Checked
rustydotwtf·vlatest·other·MIT

This skill automatically identifies and flags potential rehypothecation risks in DeFi protocols, safeguarding user funds by revealing collateral backing.

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 whetstoneresearch/doppler-skills --skill rehypothecation-hook -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

rustydotwtf

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 rustydotwtf/doppler-skills at 4f654fea1f.

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

Commit
4f654fea1f
Manifest
skills/rehypothecation-hook/SKILL.md
Scanned
2 files, 129 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 rehypothecation-hook skill allows an AI agent to temporarily use assets or resources that are not directly owned, effectively borrowing them for a specific purpose. This enables the agent to perform actions requiring more resources than immediately available, with the understanding of eventual return or replacement. It facilitates complex operations by leveraging external dependencies without permanent transfer of ownership.

When to use it

  • Simulating Complex Transactions: Model financial scenarios involving collateral and temporary asset usage for analysis or training purposes.
  • Resource-Constrained Environments: Enable an agent to complete tasks requiring resources beyond its immediate capacity, like accessing a larger dataset briefly.
  • Testing Hypothetical Scenarios: Explore the impact of using borrowed assets in simulations without actual financial risk.
  • Creative Problem Solving: Facilitate innovative solutions by allowing agents to temporarily utilize external elements for achieving goals.

Key capabilities

  • Temporary asset utilization
  • Resource borrowing and return
  • Hypothetical scenario modeling
  • Simulated collateral management

Example prompts

  • "Simulate a loan transaction where the agent rehypothecates assets."
  • "Model a scenario where the agent temporarily utilizes external data for analysis, then returns it."
  • "Can you show me how to borrow computational resources to run this complex simulation?"

Tips & gotchas

The skill's effectiveness depends on accurate modeling of asset return mechanisms. Ensure that any simulated rehypothecation includes clear protocols and timelines for returning borrowed assets or their equivalent value.