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Accelint Persona Review

Checked
gohypergiant·vlatest·other·Apache-2.0

Analyzes AI personas for alignment with brand guidelines, identifying inconsistencies and suggesting improvements for enhanced user experience.

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 gohypergiant/agent-skills --skill accelint-persona-review -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

gohypergiant

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 gohypergiant/agent-skills at fe1ce07cb2.

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

Commit
fe1ce07cb2
Manifest
skills/accelint-persona-review/SKILL.md
Scanned
11 files, 775 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 accelint-persona-review skill analyzes AI agent personas to identify potential biases, inconsistencies, and areas for improvement. It provides feedback on persona clarity, alignment with intended use cases, and overall effectiveness in guiding the agent's behavior. This helps ensure agents are safe, reliable, and produce desired outcomes.

When to use it

  • Persona Development: During the initial creation of an AI agent persona to proactively identify flaws before deployment.
  • Bias Mitigation: To check existing personas for potential biases that could lead to unfair or discriminatory outputs.
  • Performance Tuning: After observing unexpected behavior from an agent, review its persona to pinpoint underlying issues.
  • Persona Updates: When modifying a persona to ensure changes don't introduce new problems or contradict established guidelines.

Key capabilities

  • Bias detection in personas
  • Consistency checks within personas
  • Clarity assessment of persona language
  • Alignment evaluation with intended use cases

Example prompts

  • "Review this AI agent persona for potential biases: [paste persona text]"
  • "Assess the clarity and consistency of this persona: [paste persona text]"
  • "How well does this persona align with a customer service chatbot role? [paste persona text]"

Tips & gotchas

The quality of the review depends heavily on the detail and completeness of the provided AI agent persona. A poorly defined or ambiguous persona will yield less useful feedback.