docs: OKF v0.1 compliance pass + fact-check + 3 research briefs
- Migrate all 127 non-reserved docs to OKF v0.1 frontmatter (type/description/tags/timestamp); fix 13 YAML issues, 2 duplicate-FM blocks, strip reserved-page FM - Restructure log.md to OKF (## YYYY-MM-DD, newest-first) - Fact-check against scripts/AGENTS.md ground truth: fix 6 false 'Active' banners on retired runbooks, 96->114 GiB GTT, deployment.md vs deploy-plan.py/deploy-remote.sh, Deployment Flow frank-medium=Quadlet, Calibre 9.9.0->9.15.0 + CVE-2025-7404 conflation, Copyparty v1.20.24, RomM 5.3.0 breaking change - Move *arr docs to new FrankBook-Pro/ section (git mv, link-safe) - Write active runbook bodies from ground truth (frank-large, frank-small) - Add 3 research briefs + HTML report: Local TTS and Voice Cloning, AI Job Search and Resume Tools, Most Popular Self-Hosted AI Apps (Jun-Sep 2026) - Add upstream-version rows to ComfyUI/OpenWebUI/Hermes app docs - All 336 tests pass; 136 pages, 0 unresolved wikilinks
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---
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type: reference
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title: Radarr
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description: Radarr movie manager in the *arr stack on FrankBook-Pro — live quadlet deployment, ports, volumes, and wiring facts.
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tags: [radarr, arr-stack, frankbook-pro]
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timestamp: 2026-09-03T00:00:00Z
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---
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# Radarr
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Radarr manages movies in the *arr stack. The stack runs on **FrankBook-Pro**
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(the Mac mini) as quadlet units inside its podman machine — not on Dankserver.
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It searches, downloads, and organizes movies from indexers into the Jellyfin
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movie library.
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**Host:** FrankBook-Pro (podman machine) — **Access:** direct port `7878` (no reverse-proxy vhost; the *arr stack is exempt by construction from the Anubis guard chain) — **Docs:** https://wiki.servarr.com/radarr
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## Facts
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| Item | Value |
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|------|-------|
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| Image | `lscr.io/linuxserver/radarr:latest` (v6 line; v6.3.x verified live 2026-08-30) |
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| Port | 7878 (host) → 7878 (container) |
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| Env | `PUID=0`, `PGID=0`, `TZ=America/Los_Angeles`, `UMASK_SET=022` |
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| Config root | `/Volumes/COMPLETE/radarr-data:/config` |
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| Min RAM | 512 MB |
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| Metadata | TMDB / TheMovieDB API |
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## Deployment (current)
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Quadlet unit `radarr.container` from this repo (`frankbook-pro/radarr/quadlet/`)
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is installed inside the podman machine at
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`/home/core/.config/containers/systemd/radarr.service` by the frankbook-pro
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handler in `scripts/deploy-remote.sh`. Unit shape:
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```ini
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[Container]
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ContainerName=radarr
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Image=lscr.io/linuxserver/radarr:latest
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Environment=PUID=0
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Environment=PGID=0
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Environment=TZ=America/Los_Angeles
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Environment=UMASK_SET=022
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Volume=/Volumes/COMPLETE/radarr-data:/config
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PublishPort=7878:7878
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[Service]
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TimeoutStartSec=900
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Restart=always
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```
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## Configuration
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1. Add Prowlarr as the indexer source (the YTS indexer row feeds Radarr — see [[Prowlarr]]).
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2. Add qBittorrent as the download client with the `movies` category ([[qBittorrent]]).
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3. Set quality profile and cutoff quality.
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4. Set the root folder to the movies root under the COMPLETE volume (Radarr
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imports from where [[qBittorrent]] drops completed downloads; first verified
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grab+import was a 2160p Dark Knight test on 2026-08-30).
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5. Add movies and verify downloads.
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## Gotchas
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- Radarr v6 is the current stable (v6.3.x as of 2026-08). `:latest` points to the current release.
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- Movie renaming produces `Title (Year)` format. Jellyfin scanner handles this.
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- File permissions: qBittorrent downloads as PUID=0; arr apps must read/move files.
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## See Also
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- [[ARR-Stack]] — full *arr stack documentation
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- [[Jellyfin]] — media server that consumes Radarr downloads
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