MI

mistral-prod-checklist

A deployment checklist for Mistral AI apps, covering security, resilience, and rollback procedures.

Install

mkdir -p .claude/skills/mistral-prod-checklist && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/6897" && unzip -o skill.zip -d .claude/skills/mistral-prod-checklist && rm skill.zip

Installs to .claude/skills/mistral-prod-checklist

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Execute Mistral AI production deployment checklist and rollback procedures.
75 charsno explicit “when” trigger
Advanced

Key capabilities

  • →Verify production API keys and model configurations
  • →Ensure code quality gates pass before deployment
  • →Implement a health check endpoint for Mistral AI services
  • →Integrate a circuit breaker for resilience against API failures
  • →Perform gradual rollouts and emergency rollbacks

How it works

This skill provides a checklist and code examples for deploying Mistral AI integrations to production, covering credential verification, code quality, health monitoring, resilience patterns, and deployment strategies.

Inputs & outputs

You give it
Deployment commands, API keys, code quality checks, health check requests
You get back
Verified production deployment, health status, circuit breaker state, rollout status

When to use mistral-prod-checklist

  • →Verify production credentials
  • →Check error handling and backoff patterns
  • →Perform production health checks
  • →Prepare rollback procedures

About this skill

Mistral Production Readiness Gate

Overview

Turn readiness into an evidence-backed decision. Missing ownership, unsafe data, unbounded demand, or untested rollback blocks launch.

Prerequisites

  • An immutable candidate and environment inventory.
  • Named service, security, privacy, spend, and incident owners.
  • Current model/API evidence, load results, data policy, runbook, and rollback proof.

Current Contract

Model access, limits, billing, and preview status can change. Evidence must be timestamped and environment-specific; Public Preview surfaces need an explicit risk decision.

Authentication

Verify secret injection, isolation, rotation ownership, and absence from artifacts without displaying credential values. Confirm the production runtime cannot expose the secret to browser code.

Instructions

  1. Pin release, dependency lock, endpoints, model policy, and provider evidence.
  2. Review auth, tenancy, safety, file/data lifecycle, and ZDR applicability.
  3. Review deadlines, retries, backpressure, state reconciliation, and degradation.
  4. Prove usage attribution, spend caps, alerts, and billing ownership.
  5. Run offline gates and approved canary tests including failure and rollback.
  6. Record PASS, CONDITIONAL, or BLOCKED with owner and evidence per gap.

Tool Discipline

Use Read, Glob, and Grep to inspect code, locks, configuration, tests, and evidence. Use Write and Edit only for approved repository changes. Invocation alone does not authorize network calls, paid usage, uploads, stateful resources, admin mutations, deployments, or deletion.

Approval Boundaries

This skill cannot deploy, enable preview APIs, increase limits, upload data, mutate keys, or waive a failed gate.

Error Handling

  • A successful health call does not prove load safety or rollback.
  • Undocumented fallback can silently alter cost and behavior.
  • Rollback leaving queues/files/state unreconciled is incomplete.

Output

Return release/environment, gate matrix, evidence times, blockers, accepted preview risks, decision, approvers, canary, and rollback receipt.

Examples

  • Block launch when spend alerts and tenant tests lack evidence.
  • Approve only a fixed-bound canary with a verified disable switch.

Validation

Re-run every gate at the exact SHA, exercise rollback/provider failure, and verify evidence links and owners.

Resources

  • Current first-party evidence map — recheck dated sources before relying on mutable endpoints, models, limits, prices, preview status, or retention.
  • Record live account observations as environment-specific evidence, not universal Mistral guarantees.

Prerequisites

Staging environment tested and verifiedProduction API keys from La PlateformeDeployment pipeline (CI/CD) configuredMonitoring and alerting ready (see `mistral-observability`)

Limitations

  • →Deployment failures can occur during rollout
  • →Health check 503 errors indicate issues with Mistral status or credentials
  • →Circuit open state prevents requests to Mistral AI

How it compares

This skill offers a structured, production-ready deployment and operational framework for Mistral AI, providing more reliability than a basic deployment.

Compared to similar skills

mistral-prod-checklist side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
mistral-prod-checklist (this skill)12moCautionAdvanced
apollo-prod-checklist12moCautionIntermediate
electron-pro06moNo flagsAdvanced
electron-development05moReviewAdvanced

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