mistral-security-basics
Apply Mistral AI security best practices for secrets and access control. Use when securing API keys, implementing least privilege access, or auditing Mistral AI security configuration. Trigger with phrases like "mistral security", "mistral secrets", "secure mistral", "mistral API key security".
- License 许可
- MIT
- 最近更新
- 2026-11-11
- Stars
- ★ 2.0k
- Forks
- 231
01 前言 Front Matter
- name
- mistral-security-basics
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- license
- MIT
- version
- 1.0.0
- description
- Apply Mistral AI security best practices for secrets and access control. Use when securing API keys, implementing least privilege access, or auditing Mistral AI security configuration. Trigger with phrases like "mistral security", "mistral secrets", "secure mistral", "mistral API key security".
- allowed-tools
- Read, Write, Grep
03 SKILL.md 正文
Mistral AI Security Basics
Overview
Security best practices for Mistral AI API keys and access control.
Prerequisites
- Mistral AI SDK installed
- Understanding of environment variables
- Access to Mistral AI console
Instructions
Step 1: Configure Environment Variables
# .env (NEVER commit to git)
MISTRAL_API_KEY=your-api-key-here
# .gitignore - Add these lines
.env
.env.local
.env.*.local
*.pem
*.key
secrets/
Validate .gitignore:
# Check if .env would be committed
git check-ignore .env || echo "WARNING: .env is not ignored!"
# Check for exposed secrets in history
git log -p --all -S 'MISTRAL_API_KEY' -- '*.ts' '*.js' '*.py' '*.env'
Step 2: Secure Key Loading
// src/config/mistral.ts
import { z } from 'zod';
const envSchema = z.object({
MISTRAL_API_KEY: z.string().min(20, 'Invalid API key format'),
NODE_ENV: z.enum(['development', 'staging', 'production']).default('development'),
});
export function loadMistralConfig() {
const result = envSchema.safeParse(process.env);
if (!result.success) {
console.error('Environment validation failed:', result.error.format());
throw new Error('Missing or invalid MISTRAL_API_KEY');
}
return result.data;
}
// Usage
const config = loadMistralConfig();
const client = new Mistral({ apiKey: config.MISTRAL_API_KEY });
Step 3: Key Rotation Procedure
# 1. Generate new key in Mistral console
# https://console.mistral.ai/api-keys/
# 2. Test new key before rotation
MISTRAL_API_KEY_NEW="new-key-here"
curl -H "Authorization: Bearer ${MISTRAL_API_KEY_NEW}" \
https://api.mistral.ai/v1/models
# 3. Update environment variable / secrets manager
export MISTRAL_API_KEY="${MISTRAL_API_KEY_NEW}"
# 4. Deploy with new key
# 5. Revoke old key in Mistral console
Step 4: Environment-Specific Keys
| Environment | Key Type | Permissions |
|---|---|---|
| Development | Dev key | All models, low limits |
| Staging | Staging key | All models, medium limits |
| Production | Production key | Required models only |
// src/config/environments.ts
interface MistralEnvConfig {
apiKey: string;
allowedModels: string[];
maxTokensPerRequest: number;
}
const configs: Record<string, MistralEnvConfig> = {
development: {
apiKey: process.env.MISTRAL_API_KEY_DEV!,
allowedModels: ['mistral-small-latest', 'mistral-large-latest'],
maxTokensPerRequest: 1000,
},
production: {
apiKey: process.env.MISTRAL_API_KEY_PROD!,
allowedModels: ['mistral-small-latest'],
maxTokensPerRequest: 4000,
},
};
export function getEnvConfig(): MistralEnvConfig {
const env = process.env.NODE_ENV || 'development';
return configs[env] || configs.development;
}
Step 5: Request Validation & Sanitization
import { z } from 'zod';
const messageSchema = z.object({
role: z.enum(['system', 'user', 'assistant']),
content: z.string().max(100000), // Prevent huge payloads
});
const chatRequestSchema = z.object({
model: z.enum(['mistral-small-latest', 'mistral-large-latest']),
messages: z.array(messageSchema).min(1).max(100),
temperature: z.number().min(0).max(1).optional(),
maxTokens: z.number().min(1).max(4000).optional(),
});
function validateChatRequest(input: unknown) {
return chatRequestSchema.parse(input);
}
// Usage in API endpoint
app.post('/api/chat', async (req, res) => {
try {
const validated = validateChatRequest(req.body);
const response = await client.chat.complete(validated);
res.json(response);
} catch (error) {
if (error instanceof z.ZodError) {
res.status(400).json({ error: 'Invalid request', details: error.errors });
} else {
res.status(500).json({ error: 'Internal error' });
}
}
});
Step 6: Audit Logging
interface AuditEntry {
timestamp: Date;
action: string;
userId?: string;
model: string;
tokensUsed?: number;
success: boolean;
errorCode?: string;
ipAddress?: string;
}
async function auditLog(entry: Omit<AuditEntry, 'timestamp'>): Promise<void> {
const log: AuditEntry = { ...entry, timestamp: new Date() };
// Log to your audit system
console.log('[AUDIT]', JSON.stringify(log));
// Optional: send to logging service
// await loggingService.record(log);
}
// Usage
async function chatWithAudit(
userId: string,
messages: Message[],
ipAddress?: string
): Promise<string> {
const start = Date.now();
try {
const response = await client.chat.complete({
model: 'mistral-small-latest',
messages,
});
await auditLog({
action: 'chat.complete',
userId,
model: 'mistral-small-latest',
tokensUsed: response.usage?.totalTokens,
success: true,
ipAddress,
});
return response.choices?.[0]?.message?.content ?? '';
} catch (error: any) {
await auditLog({
action: 'chat.complete',
userId,
model: 'mistral-small-latest',
success: false,
errorCode: error.status?.toString(),
ipAddress,
});
throw error;
}
}
Security Checklist
- [ ] API key stored in environment variable (not code)
- [ ]
.envfiles in.gitignore - [ ] Different keys for dev/staging/prod
- [ ] Input validation on all requests
- [ ] Output sanitization before display
- [ ] Audit logging enabled
- [ ] Rate limiting implemented
- [ ] Error messages don't expose internals
- [ ] HTTPS enforced for all endpoints
- [ ] Regular key rotation scheduled
Output
- Secure API key storage
- Environment-specific access controls
- Input validation
- Audit logging enabled
Error Handling
| Security Issue | Detection | Mitigation |
|---|---|---|
| Exposed API key | Git scanning, log review | Rotate immediately, revoke old key |
| Injection attacks | Input validation | Zod schemas, sanitization |
| Missing audit trail | Log review | Implement comprehensive logging |
| Excessive permissions | Access review | Limit models per environment |
Examples
Secrets Manager Integration (AWS)
import { SecretsManager } from '@aws-sdk/client-secrets-manager';
const sm = new SecretsManager({ region: 'us-east-1' });
async function getMistralApiKey(): Promise<string> {
const secret = await sm.getSecretValue({
SecretId: 'mistral/api-key',
});
return secret.SecretString!;
}
Secrets Manager Integration (GCP)
import { SecretManagerServiceClient } from '@google-cloud/secret-manager';
const client = new SecretManagerServiceClient();
async function getMistralApiKey(): Promise<string> {
const [version] = await client.accessSecretVersion({
name: 'projects/my-project/secrets/mistral-api-key/versions/latest',
});
return version.payload?.data?.toString()!;
}
Content Filtering
const BLOCKED_PATTERNS = [
/\b(password|secret|key)\s*[:=]/i,
/\b\d{16}\b/, // Credit card numbers
/\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z]{2,}\b/i, // Emails
];
function containsSensitiveData(text: string): boolean {
return BLOCKED_PATTERNS.some(pattern => pattern.test(text));
}
async function safeChatComplete(messages: Message[]): Promise<string> {
// Check input for sensitive data
for (const msg of messages) {
if (containsSensitiveData(msg.content)) {
throw new Error('Message contains potentially sensitive data');
}
}
return client.chat.complete({ model: 'mistral-small-latest', messages });
}
Resources
Next Steps
For production deployment, see mistral-prod-checklist.
04 同仓库更多 Skills
web-artifacts-builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
neuropixels-analysis
Neuropixels neural recording analysis. Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen/IBL curation, AI-assisted visual analysis, for Neuropixels 1.0/2.0 extracellular electrophysiology. Use when working with neural recordings, spike sorting, extracellular electrophysiology, or when the user mentions Neuropixels, SpikeGLX, Open Ephys, Kilosort, quality metrics, or unit curation.
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
notebooklm
Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.
slack-gif-creator
Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack."