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Agent-Logs-Url: https://github.com/uscient/mboxer/sessions/9aea2527-1838-4e36-a39f-7af73eeff1e4 Co-authored-by: xormania <127287135+xormania@users.noreply.github.com>
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[WIP] Add four GitHub Actions workflow files
ci: add GitHub Actions workflows
May 2, 2026
Agent-Logs-Url: https://github.com/uscient/mboxer/sessions/5f953136-d487-4e5c-a233-43ee99611d37 Co-authored-by: xormania <127287135+xormania@users.noreply.github.com>
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fix: resolve 6 ruff lint errors blocking CI
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Agent-Logs-Url: https://github.com/uscient/mboxer/sessions/a453f47c-be57-4a63-89ba-cc4ac287ba44 Co-authored-by: xormania <127287135+xormania@users.noreply.github.com>
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[WIP] Fix mypy type-check errors for PR #3
This was referenced May 2, 2026
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The repo had no CI/CD workflows despite having branch protection with required status checks enabled. Adds four workflows to cover the full development and release lifecycle.
Workflows
ci.yml— Lint (ruff), type-check (mypy), and test (pytest) on push/PR tomaster; test matrix covers Python 3.11 and 3.12schema.yml— Validatesschema.sqlapplies cleanly to a fresh SQLite DB on changes to schema or migration filesrelease.yml— Builds and publishes to PyPI via OIDC trusted publishing onv*.*.*tags (no stored secrets needed)dependency-review.yml— Scans dependency changes for known vulnerabilities on every PRRequired status checks to wire up
After merging, add these to the
masterbranch protection ruleset under required status checks:Original prompt
Create four GitHub Actions workflow files in
.github/workflows/. All files must be fully written and committed before this PR is marked ready for review..github/workflows/ci.yml.github/workflows/schema.yml.github/workflows/release.yml.github/workflows/dependency-review.ymlInstructions
ci/add-workflowsmasterwith title:ci: add GitHub Actions workflowsThe following is the prior conversation context from the user's chat exploration (may be truncated):
Assistant: ##
uscient/mboxer— High-Level Overviewmboxer is a local-first Python CLI tool that transforms Gmail/Google Takeout MBOX exports into structured, AI-ready knowledge assets — primarily targeting NotebookLM, RAG pipelines, and local LLM workflows.
🎯 Core Purpose
Gmail MBOX exports are raw and unwieldy.
mboxerbridges that gap by converting them into:⚙️ Pipeline Stages
The full workflow is a sequential CLI pipeline:
.mboxfiles using Python'smailboxstdlib, with resumable checkpoints and deduplicationstandard→ultra_safe)🗂️ Source Layout