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Reinforce Skills

Listed
b-open-io·vlatest·ai-ml

Reinforce Skills boosts desired behaviors by rewarding positive interactions, accelerating learning and skill mastery for users.

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 b-open-io/prompts --skill reinforce-skills -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

b-open-io

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 obfuscated payloads: failed

    Contains 1 obfuscated or encoded payload pattern.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

    What it found

    • skills/reinforce-skills/.clawnet/unsigned-skill.json:419238-character base64 literal
      "opReturnHex": "6a2231394878696756345179427633744870515663554551797131707a5a56646f4175744d73212d2d2d0a6e616d653a207265696e666f7263652d736b696c6c730a76657273696…

  • 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 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 b-open-io/prompts at 3e198cc712.

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

Commit
3e198cc712
Manifest
skills/reinforce-skills/SKILL.md
Scanned
4 files, 419 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 reinforce-skills skill allows you to improve an AI agent's performance by reinforcing its existing skills. It takes a prompt and uses reinforcement learning techniques to guide the agent towards better responses, ultimately refining its capabilities over time. This process helps agents learn from their mistakes and adapt to new challenges more effectively.

When to use it

  • Improving Agent Accuracy: When an AI agent consistently provides inaccurate or incomplete information in specific scenarios.
  • Refining Complex Tasks: For tasks requiring nuanced understanding and creative problem-solving, like writing code or generating marketing copy.
  • Adapting to New Data: When introducing new data sources or changing the context of existing knowledge for the agent.
  • Correcting Biases: To mitigate unwanted biases in an AI agent's responses by reinforcing more equitable and inclusive outputs.

Key capabilities

  • Reinforcement learning based skill refinement
  • Prompt-guided adaptation
  • Iterative improvement process
  • Bias mitigation potential

Example prompts

  • "Reinforce the agent’s ability to summarize technical documents, focusing on clarity and conciseness."
  • "Refine the agent's code generation skills for Python, prioritizing efficiency and readability."
  • "Improve the agent’s responses when asked about historical events, ensuring accuracy and neutrality."

Tips & gotchas

The effectiveness of this skill depends heavily on providing clear and specific prompts. It may require multiple iterations to achieve desired results, so be patient and experiment with different approaches.