implementing-llm-guardrails-for-security SKILL.md skillA
implementing-llm-guardrails-for-security from adriannoes/awesome-agentic-ai is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add adriannoes/awesome-agentic-ai/implementing-llm-guardrails-for-security@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- adriannoes/awesome-agentic-ai
- Path
cursor-claude-codex/skills/anthropic-cybersecurity-skills/skills/implementing-llm-guardrails-for-security/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Jun 25, 2026
- Size
- 9,220 bytes
- Repository stars
- 69
- License
- MIT
'Implements input and output validation guardrails for LLM-powered applications.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Implementing LLM Guardrails for Security ## When to Use - Deploying a new LLM-powered application that processes user input and needs input/output safety controls - Adding content policy enforcement to an existing chatbot or AI agent to comply with organizational policies - Implementing PII detection and redaction in LLM pipelines handling sensitive customer data - Building topic-restricted AI assistants that must refuse off-topic or disallowed queries - Validating that LLM responses conform to expected schemas before they reach downstream systems or users - Protecting RAG pipelines from indirect prompt injection in retrieved documents **Do not use** as a replacement for proper authentication, authorization, and network security controls. Guardrails are a defense-in-depth layer, not a perimeter defense. Not suitable for real-time content moderation of user-to-user communication without LLM involvement. ## Prerequisites - Python 3.10+ with pip for installing guardrail dependencies - An OpenAI API key or local LLM endpoint for NeMo Guardrails self-check rails (set as `OPENAI_API_KEY` environment variable) - The `nemoguardrails` package for Colang-based guardrail definitions …
Read the whole file at its exact version.
How to install
mdr add adriannoes/awesome-agentic-ai/implementing-llm-guardrails-for-security@sha256:1cf02a88ea563459The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_g5mus3v7phsxljkw)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jun 25, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (9220 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
adriannoes/awesome-agentic-ai · 69 stars · license MIT · pushed 2026-10-10 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_g5mus3v7phsxljkw GET https://markdownregistry.com/api/v1/resolve?ref=adriannoes/awesome-agentic-ai/implementing-llm-guardrails-for-security GET https://markdownregistry.com/api/v1/blob/1cf02a88ea563459705e0f6a48a019ca5ae65711b3b736985b9004083d97a209
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.