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Harper Best Practices

Listed
harperfast·vlatest·writing·Apache-2.0

Ensures content aligns with Harper's style guide, legal requirements, and brand voice for consistent, compliant outputs.

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 harperfast/skills --skill harper-best-practices -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

harperfast

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 1 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 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: official-joke-api.appspot.com.

    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

    official-joke-api.appspot.comundeclared

    What it found (3 of 4)

    • harper-best-practices/AGENTS.md:2087contacts official-joke-api.appspot.com
      const response = await fetch(`https://official-joke-api.appspot.com/jokes/${id}`);
    • harper-best-practices/AGENTS.md:2149contacts official-joke-api.appspot.com
      const response = await fetch(`https://official-joke-api.appspot.com/jokes/${id}`);
    • harper-best-practices/rules/caching.md:37contacts official-joke-api.appspot.com
      const response = await fetch(`https://official-joke-api.appspot.com/jokes/${id}`);

  • 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.

  • 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 harperfast/skills at 885200a040.

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

Commit
885200a040
Manifest
harper-best-practices/SKILL.md
Scanned
26 files, 6,519 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

The harper-best-practices skill provides a curated set of guidelines and standards specifically designed to optimize interactions with Harper AI agents. It ensures that prompts and workflows align with recommended patterns for maximum efficiency and accuracy within the Harper ecosystem.

When to use it

  • You need to structure complex queries to ensure Harper interprets intent correctly without ambiguity.
  • You are building automated workflows that require consistent formatting and data handling standards.
  • You want to troubleshoot why an agent is failing to execute specific tasks or returning unexpected results.
  • You are creating documentation for other users on how to interact effectively with the platform.

Key capabilities

  • Defines optimal prompt structures for complex reasoning tasks within Harper.
  • Outlines standard operating procedures for data input and output formatting.
  • Provides troubleshooting steps for common agent misinterpretations or execution errors.
  • Establishes a baseline for high-quality interaction patterns specific to the Harper architecture.

Example prompts

  • "Apply the harper-best-practices guidelines to refactor this multi-step data analysis request."
  • "Check my current workflow against the recommended best practices for Harper agents and suggest improvements."
  • "Generate a prompt template that adheres to the latest Harper interaction standards for customer support tasks."

Tips & gotchas

This skill is specific to the Harper AI environment; applying its rules to other agent platforms may result in suboptimal performance. Ensure you are running the latest version of the Harper core, as best practices evolve with platform updates.