--- name: mistral-deploy-integration-df12efee9015 description: >- Deploy a Mistral-backed service with secret isolation, bounded concurrency, health semantics, canary evidence, and rollback. Use when preparing runtime delivery. Trigger with "deploy a Mistral app", "configure Mistral production", or "canary a Mistral service". allowed-tools: Read,Glob,Grep,Write,Edit argument-hint: " " version: 1.14.0 license: MIT author: Jeremy Longshore tags: [saas, mistral, deployment] model: inherit effort: high compatibility: "Designed for Claude Code; live or external Mistral actions require network access and explicit approval" --- # Mistral Deployment Integration ## Overview Prepare a platform-neutral runtime boundary. Separate application health from provider readiness, keep credentials server-side, and make overload, provider failure, and rollback predictable. ## Prerequisites - An immutable artifact, lockfile, release SHA, and deployment owner. - An environment-scoped secret, egress policy, and tenant authorization design. - Capacity, timeout, queue, spend, observability, canary, and rollback policies. ## Current Contract The API is `https://api.mistral.ai` with Bearer auth. Model and workspace capacity are runtime dependencies; application startup should not require a paid inference call. ## Authentication Inject the key into a trusted server and restrict egress. Never pass it to browser, build output, health response, or an edge runtime without protected secret semantics. ## Instructions 1. Map build, runtime, secret, egress, scaling, queue, and shutdown behavior. 2. Package the pinned adapter and validate config without contacting Mistral during build. 3. Set end-to-end deadlines, bounded concurrency, cancellation, and overload behavior. 4. Implement local liveness and a separate dependency/readiness signal without provider data. 5. Deploy to staging, run offline checks, then request approval for a synthetic canary. 6. Compare evidence, promote within a fixed traffic bound, and prove rollback plus queue 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 Deployment, secret mutation, traffic shift, scaling, canary spend, and rollback execution each require explicit scope and approval. ## Error Handling - Inference in liveness amplifies outage and spend. - Autoscaling without a shared limiter exceeds workspace capacity. - Rollback without queue/state reconciliation can duplicate work. ## Output Return artifact/release identity, topology, secret/egress boundary, limits, health semantics, canary, traffic state, and rollback receipt. ## Examples - Build once and inject production secrets only at runtime. - Keep liveness green during provider degradation while product behavior fails safely. ## Validation Inspect artifact for secrets and test denied egress, overload, shutdown, outage, canary abort, rollback, and queue convergence. ## Resources - [Current first-party evidence map](references/official-docs.md) — 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. --- Source attribution: jeremylongshore Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/saas-packs/mistral-pack/skills/mistral-deploy-integration/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2025 Jeremy Longshore Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: jeremylongshore Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/saas-packs/mistral-pack/skills/mistral-deploy-integration/SKILL.md Attribution basis: Source repository record Fields of work: Development & Engineering, Product Management Roles: Backend Developer, DevOps / SRE, Growth Product Manager, ML / AI Engineer, Product Manager Specialties: API, Backend, Design, DevOps, Word Documents, Frontend, Git, Testing Tools: Vercel Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: e62f77162d51aea456a091251dd8bc31f1219146a63bbb8ecc7bd2c24229e2f0