--- name: mistral-debug-bundle description: >- Assemble a content-free Mistral diagnostic bundle with hashes, schema facts, and explicit exclusions. Use when escalating a persistent integration problem. Trigger with "build a Mistral debug bundle", "prepare Mistral support evidence", or "sanitize Mistral diagnostics". allowed-tools: Read,Glob,Grep,Write,Edit argument-hint: " " version: 1.14.0 license: MIT author: Jeremy Longshore tags: [saas, mistral, diagnostics] model: inherit effort: high compatibility: "Designed for Claude Code; live or external Mistral actions require network access and explicit approval" --- # Mistral Sanitized Diagnostic Bundle ## Overview Produce minimum reproducible evidence without exporting credentials, prompts, responses, files, embeddings, personal data, or unbounded logs. ## Prerequisites - An incident ID, bounded UTC window, and approved local destination. - A redaction policy and independent reviewer. - Known application version, client pin, environment, and endpoint class. ## Current Contract Useful diagnostics are structural: timestamps, statuses, request IDs, versions, attempts, latency, usage totals, state transitions, and config presence. Raw bodies are excluded by default. ## Authentication Represent auth only as secret-reference presence, expected host, and key-age class. Exclude keys, headers, secret-derived fingerprints, and secret-manager payload. ## Instructions 1. Create an allowlisted manifest and prohibited-content list before collection. 2. Gather version pins, deployment identity, endpoint/model, normalized parameters, and flags. 3. Aggregate statuses, latency, usage, retries, and transitions within the window. 4. Hash approved config/schema files only after removing secret-bearing fields. 5. Scan the staged bundle for credentials, content, personal data, URLs, and file bytes. 6. Obtain reviewer approval of manifest and exclusions before submission. ## 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 Invocation permits only local preparation. Production log queries, identifiers, support contact, upload, and extended retention need approval. ## Error Handling - Recursive log export can create a second incident. - Hashing a key still creates a secret-derived identifier. - Provider request IDs may be sensitive and require review. ## Output Return bundle path, manifest hash, range, included classes, exclusions, scanner result, reviewer, retention deadline, and submission state. ## Examples - Package a manifest, lock excerpt, aggregate counts, and redacted schema. - Report `raw_content=excluded; scanner=pass; submission=not-authorized`. ## Validation Open every staged file, compare to the allowlist, scan secrets/content, verify hashes, and test extraction before review. ## 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-debug-bundle/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-debug-bundle/SKILL.md Attribution basis: Source repository record Fields of work: Sales, Customer Support Roles: Customer Success Manager, Support Agent, Technical Support Specialties: API, Backend, Design, Word Documents, Frontend, Testing Tools: Mistral Ai Sdk Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 669af84b69aab192793a22bea8dff7ee4aeaca90be98fa87a22c8bd12f080824