defending-llms-with-guardrails SKILL.md skillB
defending-llms-with-guardrails 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/defending-llms-with-guardrails@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- adriannoes/awesome-agentic-ai
- Path
cursor-claude-codex/skills/anthropic-cybersecurity-skills/skills/defending-llms-with-guardrails/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0, committed Jun 25, 2026
- Size
- 12,027 bytes
- Repository stars
- 69
- License
- MIT
Deploy Llama Guard, NeMo Guardrails, and LLM Guard input/output scanners as runtime defenses.
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
# Defending LLMs with Guardrails > **Defensive scope:** This skill describes runtime defenses for production LLM applications. The example jailbreak/injection payloads exist only to validate that guardrails block them. Test against systems you own or are authorized to assess. ## Overview Large language model (LLM) applications are exposed to adversarial input (jailbreaks, prompt injection, toxic content) and can emit unsafe, biased, or sensitive output. A guardrail is a runtime control that inspects and constrains the data flowing into and out of an LLM. Three production-grade, open-source guardrail systems dominate the ecosystem and are complementary rather than mutually exclusive: - **Llama Guard 3** (Meta) — a Llama-3.1-8B model fine-tuned as a *safety classifier*. Given a prompt or a response, it emits `safe` or `unsafe` plus the violated MLCommons hazard categories (S1–S14). It is the strongest *semantic* content-safety classifier of the three and supports prompt classification, response classification, and tool-call/code-interpreter classification across 8 languages. …
Read the whole file at its exact version.
How to install
mdr add adriannoes/awesome-agentic-ai/defending-llms-with-guardrails@sha256:b602611857e4fe41The line at the top of this page pins the label v1.0, 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_jjyme4y32xpqjrr5)
3 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
- fail: No prompt-injection phrasing (matched: Ignore previous instructions)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (12027 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 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
Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.
Source
adriannoes/awesome-agentic-ai · 69 stars · license MIT · pushed 2026-10-10 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_jjyme4y32xpqjrr5 GET https://markdownregistry.com/api/v1/resolve?ref=adriannoes/awesome-agentic-ai/defending-llms-with-guardrails GET https://markdownregistry.com/api/v1/blob/b602611857e4fe41b0e447c82c6394c29ab111b85584ace24277e9bcea61e914
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.