add-llm-guardrails SKILL.md skillA
add-llm-guardrails from contextjet-ai/awesome-llm-observability is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add contextjet-ai/awesome-llm-observability/add-llm-guardrails@git:20261015.76d5de4Pins git:20261015.76d5de4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- contextjet-ai/awesome-llm-observability
- Path
skills/add-llm-guardrails/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261015.76d5de4, committed Oct 15, 2026
- First version recorded
- Jul 5, 2026
- Size
- 3,248 bytes
- Repository stars
- 45
- License
- a license file GitHub does not identify
Use this to add safety and security guardrails to an LLM/agent app - blocking prompt injection, PII leakage, jailbreaks, toxic output, off-topic responses, or invalid structured output. Trigger on "add guardrails", "prevent prompt injection", "stop PII leaks", "validate the model's output", "make this safe for production", especially for regulated/finance/enterprise use.
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
# Add guardrails to an LLM app Guardrails are validation layers on the **input** (before the model) and **output** (before the user/downstream). They're mandatory for regulated and enterprise deployments. Treat them as tested code, and *observe* them (a guardrail that fires silently is useless). ## Two layers, distinct jobs **Input guardrails** (run before the LLM): - **Prompt-injection / jailbreak detection** - reject or sanitize inputs trying to override instructions. - **PII detection** - flag/redact sensitive data before it reaches a third-party model (see the `redact-pii-for-tracing` skill for the tracing side). - **Topic / policy** - reject off-scope requests. **Output guardrails** (run before returning): - **Structured-output validation** - enforce the schema (JSON/enum/type); repair or reject on failure. - **Toxicity / safety** - block harmful content. - **Groundedness / hallucination** - check the answer is supported by the retrieved context (for RAG). - **Sensitive-data egress** - ensure the response isn't leaking secrets/PII. ## Implementation shape …
Read the whole file at its exact version.
How to install
mdr add contextjet-ai/awesome-llm-observability/add-llm-guardrails@sha256:fc29bb67c9ae848bThe line at the top of this page pins the label git:20261015.76d5de4, 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_f5gm6svg3d4qdqtz)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jul 5, 2026 and Oct 15, 2026, about one every 51 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261015.76d5de4 latest | 2026-10-15 | 76d5de4 | 3,248 B | A | view · diff |
| git:20260705.23078be | 2026-07-05 | 23078be | 3,152 B | A | view · diff |
| git:20260705.c7a8a66 | 2026-07-05 | c7a8a66 | 3,176 B | A | view |
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 (3248 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
contextjet-ai/awesome-llm-observability · 45 stars · license a license file GitHub does not identify · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_f5gm6svg3d4qdqtz GET https://markdownregistry.com/api/v1/resolve?ref=contextjet-ai/awesome-llm-observability/add-llm-guardrails GET https://markdownregistry.com/api/v1/blob/fc29bb67c9ae848b860a8055bf2cb4f5cd060fcebb1f63056b8a2069bdae4e50
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.