Nemo Guardrails
CheckedNemo Guardrails helps refine and control large language model outputs by setting constraints, improving accuracy & safety for your applications.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add orchestra-research/ai-research-skills --skill nemo-guardrails -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
zechenzhangagi
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.
Automated safety checks
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 zechenzhangagi/ai-research-skills at 773a52944b.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 773a52944b
- Scanned
- 1 file, 278 lines
About this skill
What it does
This skill, zechenzhangagi-nemo-guardrails, provides a framework for building AI agents with safety and ethical considerations in mind. It allows developers to define rules and constraints that the agent must adhere to during interactions. The goal is to prevent undesirable or harmful outputs by guiding the agent's responses within specified boundaries.
When to use it
- Sensitive Topics: When your agent will discuss topics like health, finance, or legal matters where accuracy and ethical considerations are paramount.
- Brand Safety: To ensure the AI agent’s output aligns with brand values and avoids potentially damaging statements.
- User Protection: When you want to prevent the agent from generating responses that could be harmful, biased, or offensive to users.
- Controlled Environments: In situations where strict adherence to guidelines is required, such as educational tools or regulated industries.
Key capabilities
- Rule definition and enforcement
- Safety guardrails implementation
- Ethical considerations integration
- Framework for responsible AI agent development
Example prompts
- "Act as a helpful chatbot, but do not provide medical advice."
- "Respond to user queries about financial products while adhering to regulatory guidelines."
- “Generate creative writing pieces that avoid any harmful stereotypes.”
Tips & gotchas
This skill requires familiarity with defining and implementing rules within the Nemo framework. Ensure your rule definitions are clear, comprehensive, and regularly reviewed to maintain effectiveness as the agent's capabilities evolve.