Atlas / Skills / jeremylongshore / Langfuse Security Basics

Langfuse Security BasicsSAFE

skills/jeremylongshore/langfuse-security-basics

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
1.17.0
Hosts
1 documented
License
MIT
Stars
2,824
01

Overview

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Read from source at commit 4f83675ca38aOBSERVED · 2026-10-09
02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
claude-codementioned
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: langfuse-security-basics
description: 'Implement Langfuse security best practices for API keys and data privacy.

  Use when securing Langfuse integration, protecting API keys,

  or implementing data privacy controls for LLM observability.

  Trigger with phrases like "langfuse security", "langfuse API key security",

  "langfuse data privacy", "secure langfuse", "langfuse PII".

  '
allowed-tools: Read, Write, Edit
version: 1.17.0
license: MIT
author: Jeremy Longshore <[email protected]>
tags:
- saas
- langfuse
- api
- security
- observability
compatibility: Designed for Claude Code
---
# Langfuse Security Basics

## Overview

Security practices for Langfuse LLM observability: credential management, PII scrubbing before tracing, self-hosted hardening, data retention, and secret scanning.

## Prerequisites

- Langfuse instance (cloud or self-hosted)
- API keys provisioned
- Understanding of data privacy requirements (GDPR, SOC2, HIPAA)

## Instructions

### Step 1: Credential Security

Langfuse uses two keys with different security profiles:

```typescript
// Startup validation -- catch misconfigurations early
function validateLangfuseCredentials() {
  const publicKey = process.env.LANGFUSE_PUBLIC_KEY;
  const secretKey = process.env.LANGFUSE_SECRET_KEY;

  if (!publicKey || !secretKey) {
    throw new Error("LANGFUSE_PUBLIC_KEY and LANGFUSE_SECRET_KEY are required");
  }

  // Catch key swap (common mistake)
  if (secretKey.startsWith("pk-lf-")) {
    throw new Error("LANGFUSE_SECRET_KEY contains a public key (pk-lf-). Keys are swapped.");
  }

  if (publicKey.startsWith("sk-lf-")) {
    throw new Error("LANGFUSE_PUBLIC_KEY contains a secret key (sk-lf-). Keys are swapped.");
  }

  return { publicKey, secretKey };
}

// Use validated credentials
const { publicKey, secretKey } = validateLangfuseCredentials();
```

**Key security rules:**

- Public key (`pk-lf-...`): Identifies the project. Safe in client-side code.
- Secret key (`sk-lf-...`): Grants write access. **Server-side only.**
- Store in environment variables or secret manager -- never in source code.
- Rotate keys immediately if exposed in logs, git, or error reports.

### Step 2: PII Scrubbing Before Tracing

Langfuse stores everything you send. Scrub PII from inputs and outputs before tracing.

```typescript
// src/lib/pii-scrubber.ts

const PII_PATTERNS: Array<{ regex: RegExp; replacement: string }> = [
  { regex: /\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z]{2,}\b/gi, replacement: "[EMAIL]" },
  { regex: /\b\d{3}[-.]?\d{3}[-.]?\d{4}\b/g, replacement: "[PHONE]" },
  { regex: /\b\d{3}-\d{2}-\d{4}\b/g, replacement: "[SSN]" },
  { regex: /\b\d{4}[\s-]?\d{4}[\s-]?\d{4}[\s-]?\d{4}\b/g, replacement: "[CARD]" },
  { regex: /\b(?:sk|pk)-[a-zA-Z0-9_-]{20,}\b/g, replacement: "[API_KEY]" },
];

export function scrubPII(text: string): string {
  let scrubbed = text;
  for (const { regex, replacement } of PII_PATTERNS) {
    scrubbed = scrubbed.replace(regex, replacement);
  }
  return scrubbed;
}

export function scrubObject(obj: any): any {
  if (typeof obj === "string") return scrubPII(obj);
  if (Array.isArray(obj)) return obj.map(scrubObject);
  if (typeof obj === "object" && obj !== null) {
    const result: Record<string, any> = {};
    for (const [key, value] of Object.entries(obj)) {
      result[key] = scrubObject(value);
    }
    return result;
  }
  return obj;
}
```

```typescript
// Usage with tracing
import { observe, updateActiveObservation } from "@langfuse/tracing";
import { scrubPII, scrubObject } from "./lib/pii-scrubber";

const tracedChat = observe(async (userMessage: string) => {
  // Scrub input before tracing
  updateActiveObservation({ input: scrubPII(userMessage) });

  // Send original to LLM (unscrubbed)
  const response = await callLLM(userMessage);

  // Scrub output before tracing
  updateActiveObservation({ output: scrubPII(response) });
  return response;
});
```

### Step 3: Self-Hosted Hardening

```yaml
# docker-compose.yml -- production-hardened
services:
  langfuse:
    image: langfuse/langfuse:latest
    environment:
      # Disable open registration
      - AUTH_DISABLE_SIGNUP=true
      # Enforce SSO for your domain
      - AUTH_DOMAINS_WITH_SSO_ENFORCEMENT=company.com
      # Least-privilege default role
      - LANGFUSE_DEFAULT_PROJECT_ROLE=VIEWER
      # Encrypt data at rest
      - ENCRYPTION_KEY=${ENCRYPTION_KEY}
      # Data retention (days)
      - LANGFUSE_RETENTION_DAYS=90
      # Database
      - DATABASE_URL=${DATABASE_URL}
      - NEXTAUTH_SECRET=${NEXTAUTH_SECRET}
      - SALT=${SALT}
```

### Step 4: Git Secret Scanning

Prevent Langfuse keys from being committed:

```bash
# .gitignore
.env
.env.local
.env.production
```

```yaml
# .github/workflows/secret-scan.yml
name: Secret Scan
on: [push, pull_request]
jobs:
  scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Check for Langfuse keys
        run: |
          if grep -rn "sk-lf-[a-zA-Z0-9]" --include="*.ts" --include="*.js" --include="*.py" .; then
            echo "ERROR: Secret key found in source code!"
            exit 1
          fi
```

### Step 5: Scoped API Keys and Least Privilege

```typescript
// Create separate API keys per service/environment
// In Langfuse dashboard: Settings > API Keys

// Backend API service -- full write access
// LANGFUSE_SECRET_KEY=sk-lf-backend-...

// Analytics worker -- read-only access
// Use Langfuse API with read-only key
// LANGFUSE_SECRET_KEY=sk-lf-readonly-...

// CI/CD pipeline -- scoped to test project
// LANGFUSE_SECRET_KEY=sk-lf-ci-test-...
// LANGFUSE_PUBLIC_KEY=pk-lf-ci-test-...
```

## Security Checklist

| Category | Check | Status |
|----------|-------|--------|
| Credentials | Secret key in env vars / secret manager only | |
| Credentials | Keys validated at startup (no swap) | |
| Credentials | .env files in .gitignore | |
| Data Privacy | PII scrubbed from trace inputs/outputs | |
| Data Privacy | Retention policy c
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-09 · audit v0.4.1 · source sha 4f83675ca38afull audit observations/trust-audit/skill/jeremylongshore__langfuse-security-basics.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-094f83675ca38aSAFEB89first audit
06

Questions

What does the Langfuse Security Basics skill do?

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Is Langfuse Security Basics safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Langfuse Security Basics access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does Langfuse Security Basics work with?

Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (4f83675ca38a), read on 2026-10-09. The repository is watched, and a new audit runs when it changes — this is the first audit.

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