MI

mistral-ci-integration

Automates prompt regression testing and quality checks within GitHub Actions for Mistral AI.

Install

mkdir -p .claude/skills/mistral-ci-integration && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/8156" && unzip -o skill.zip -d .claude/skills/mistral-ci-integration && rm skill.zip

Installs to .claude/skills/mistral-ci-integration

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 CI/CD integration with GitHub Actions and prompt
69 charsno explicit “when” trigger
Intermediate

Key capabilities

  • →Configure GitHub Actions for automated prompt regression testing
  • →Implement deterministic assertions for AI model responses
  • →Generate cost estimates for prompt usage in pull requests
  • →Validate model references against allowed lists
  • →Detect and warn about deprecated Mistral models

How it works

The skill integrates Mistral API calls into a CI pipeline using GitHub Actions, running regression tests with deterministic temperature settings and generating cost reports for PRs.

Inputs & outputs

You give it
Prompt files and AI integration code
You get back
Test results, cost reports, and build gate status

When to use mistral-ci-integration

  • →Running automated prompt regression tests
  • →Implementing quality gates for prompt changes
  • →Estimating AI costs in pull requests
  • →Integrating Mistral into CI/CD pipelines

About this skill

Mistral Offline-First CI Contract

Overview

Make deterministic contract and safety tests required while isolating network evidence. Provider outage or missing fork secrets must not block ordinary review, and untrusted changes never receive credentials.

Prerequisites

  • A locked dependency graph and application-owned adapter.
  • Synthetic fixtures for success, streams, tools, throttling, malformed data, and cancellation.
  • A protected CI environment for a separately approved live smoke.

Current Contract

Client and endpoint schemas can drift, but CI can validate the application contract offline. Live checks consume capacity and belong in a trusted branch, schedule, or approved lane with a strict budget.

Authentication

Required jobs run without MISTRAL_API_KEY and deny unexpected network. The live job resolves a protected secret only after trust, branch, and approval guards pass.

Instructions

  1. Enumerate provider regressions affecting users, data, spend, or side effects.
  2. Add fixture tests for normalized results, errors, streams, usage, and tool denial.
  3. Check secret-bearing files, browser exposure, unpinned dependencies, and unsafe logs.
  4. Run required jobs without provider secrets and deny networking where possible.
  5. Create a named live smoke with trusted-event guards, one synthetic request, fixed output, and no retry.
  6. Publish content-free receipts and document how to disable live checks without weakening required gates.

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

Require approval for secrets, network, paid smoke, live-derived snapshots, or required-check changes. Fork-origin code never receives the key.

Error Handling

  • A skipped required test is not a pass.
  • Privileged pull-request events plus untrusted checkout can leak secrets.
  • A flaky live check does not belong inside a required offline job.

Output

Return job names, trust conditions, secret matrix, test inventory, network policy, live budget, artifact exclusions, and rollback.

Examples

  • Run fixtures on every PR and a synthetic live call only after merge.
  • Fail if the key is mapped to a client-prefixed variable.

Validation

Test fork PR, missing secret, outage, malformed fixture, accidental network, and live cancellation; scan artifacts.

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.

When not to use it

  • →When the project lacks a test framework
  • →When GitHub Actions cannot be configured

Prerequisites

MISTRAL_API_KEY stored as GitHub repository secretGitHub Actions configuredTest framework (Vitest recommended)

Limitations

  • →Flaky tests if temperature is not set to zero
  • →High CI costs if triggered on every push
  • →Slow API response times causing test timeouts

How it compares

This approach automates quality gates and cost tracking for AI prompts, whereas manual testing often overlooks regression risks in prompt changes.

Compared to similar skills

mistral-ci-integration side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
mistral-ci-integration (this skill)02moCautionIntermediate
e2e-testing-patterns84moNo flagsIntermediate
testing-workflow1611moReviewIntermediate
perf-lighthouse137moReviewIntermediate

Try saying

Example prompts that trigger this skill in your AI assistant.

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