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Liberal Accept Strict Return

Checked
marius-townhouse·vlatest·other

This skill forces a "liberal" acceptance of strict conditions, ensuring a positive return regardless of initial constraints – useful for flexible automation.

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 marius-townhouse/effective-typescript-skills --skill liberal-accept-strict-return -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

marius-townhouse

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 marius-townhouse/effective-typescript-skills at d754db2077.

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

Scanned
1 file, 234 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 allows an AI agent to accept a wide range of input types and then return a strictly typed output. It's designed for scenarios where flexibility in initial data is needed, but consistent and predictable results are crucial downstream. The skill ensures that despite lenient input acceptance, the final result adheres to a defined type schema.

When to use it

  • Data Transformation: When receiving data from an external source with potentially inconsistent formatting, but needing to produce structured output for another system.
  • API Integration: To handle variations in API responses while ensuring consistent data structure for internal processing.
  • Form Processing: Accepting user input from forms that might have varying field types and converting it into a standardized object.
  • Data Validation & Cleaning: Allowing for initially messy data, then enforcing strict type constraints during output generation.

Key capabilities

  • Liberal Input Acceptance: Accepts various data types as initial input.
  • Strict Output Typing: Enforces a predefined output type schema.
  • Type Conversion: Automatically converts the accepted input to match the defined output type.

Example prompts

  • "Convert this string '123' into an integer."
  • "Process this JSON data and return a User object with strict typing."
  • "Take this mixed array of numbers and strings, and produce a list of floats."

Tips & gotchas

This skill requires a clear definition of the expected output type schema. Without it, the AI agent won't be able to enforce strict typing or perform necessary conversions.