Nemo Guardrails
CheckedNemo Guardrails helps ensure AI responses remain safe and aligned, mitigating risks and boosting reliability 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
orchestra-research
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 orchestra-research/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
The nemo-guardrails skill provides a framework for implementing safety and policy enforcement mechanisms within AI agent workflows. It leverages the Nemo Guardrails library to define, validate, and enforce constraints on agent inputs and outputs dynamically.
When to use it
- Enforce strict content policies to prevent an agent from generating harmful, biased, or inappropriate text.
- Validate user inputs against specific schemas or allowed topics before processing them by the model.
- Create a "guardrail" layer that intercepts agent responses to ensure compliance with organizational standards.
- Test and iterate on safety rules without modifying the underlying language model logic.
Key capabilities
- Dynamic input validation to block unsafe queries before they reach the model.
- Output filtering to sanitize responses and remove prohibited content patterns.
- Custom rule definition allowing users to script specific safety constraints.
- Integration with orchestration frameworks to manage agent behavior securely.
Example prompts
- "Set up a guardrail that blocks any response containing personal identifiable information (PII)."
- "Configure an input validator to reject questions about sensitive medical advice."
- "Create a rule set that ensures all generated code snippets are wrapped in markdown code blocks."
Tips & gotchas
- Guardrails add latency; ensure your application architecture accounts for the extra processing time during validation steps.
- Rules must be carefully tuned to avoid false positives that might block legitimate user queries or useful agent responses.