mistral-multi-env-setup
Guides the setup of environment-specific Mistral AI configurations, secrets, and model policies.
Install
mkdir -p .claude/skills/mistral-multi-env-setup && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/8725" && unzip -o skill.zip -d .claude/skills/mistral-multi-env-setup && rm skill.zipInstalls to .claude/skills/mistral-multi-env-setup
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.
Configure Mistral AI across development, staging, and production environments.Key capabilities
- →Define configuration for development, staging, and production environments
- →Detect the current application environment
- →Integrate with secret management solutions like GCP Secret Manager or AWS Secrets Manager
- →Implement environment isolation guards for operations
- →Manage feature flags based on the environment
How it works
This skill outlines a strategy for managing Mistral AI configurations across different environments by defining base and environment-specific settings, detecting the active environment, and integrating with secret management tools.
Inputs & outputs
When to use mistral-multi-env-setup
- →Configure environment-specific API keys
- →Define model selection by environment
- →Implement rate limit policies per stage
- →Integrate with vault secret managers
About this skill
Mistral Multi-Environment Isolation
Overview
Prevent development changes from consuming production data, budget, capacity, or state. Make environment identity explicit in secrets, resources, telemetry, artifacts, and promotion evidence.
Prerequisites
- An environment inventory and accountable owners.
- Secret, budget, data, model, endpoint, and state isolation requirements.
- A promotion path with synthetic staging tests and production rollback.
Current Contract
Limits are workspace-shared across keys, so extra keys do not guarantee capacity isolation. Organization/workspace, role, limit, and billing controls must be inspected.
Authentication
Use distinct environment secret references and narrow workspace identity. Fail closed if runtime environment and secret metadata disagree.
Instructions
- Inventory each environment's workspace, key owner, secret, data class, models, endpoints, and state.
- Decide separate-workspace needs from capacity, spend, admin, and data isolation.
- Encode non-secret environment identity and allowed surfaces in reviewed config.
- Block production identifiers, files, workflow IDs, and overrides from non-production.
- Promote one immutable artifact through offline, staging, and approved canary evidence.
- Test rotation, wrong-environment denial, cap exhaustion, rollback, and orphan reconciliation.
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
Workspace or key creation, roles, budget or limit changes, production secret access, promotion, and deletion require administration approval. Record each mutation against its environment owner.
Error Handling
- Multiple keys in one workspace still share rate boundaries.
- Production fixtures in staging can violate data policy.
- Mutable deployment artifacts invalidate promotion evidence.
Output
Return environment matrix, workspace/secret mapping, allowed surfaces, caps, promotion state, isolation tests, owners, and rollback.
Examples
- Use separate production capacity while development uses synthetic fixtures.
- Reject a staging runtime resolving a production-labeled secret.
Validation
Attempt cross-environment secret, model, file, workflow, and telemetry access; prove denial, rotation, promotion, and rollback.
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
Limitations
- →Wrong environment can be detected if `APP_ENV` is missing
- →Secret not found errors can occur with incorrect secret paths or IAM permissions
- →Cross-environment data leaks can occur without isolation guards
How it compares
This skill provides a structured, environment-aware configuration system for Mistral AI, which is more reliable than manually managing API keys and settings for each deployment.
Compared to similar skills
mistral-multi-env-setup side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| mistral-multi-env-setup (this skill) | 0 | 2mo | Review | Intermediate |
| cloudflare-manager | 25 | 11mo | Review | Intermediate |
| aws-serverless | 2 | 8mo | Review | Intermediate |
| maintainx-multi-env-setup | 0 | 2mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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