Add blankpad-host auto-learn skills and memory store
Tracked the harness artifacts accumulated on blankpad (blank@), matching the existing convention for the --home-dank-* memory stores and the 36 already-tracked managed-skills. managed-skills (9): authentik-proxy-provider-app-link, dankclaw-guard-chain-layer-diagnosis, e2e-arr-rawip-reachability-triage, halogen-kv-pool-fit, lan-client-split-dns-fix, noctalia-reference, rootless-quadlet-log-retrieval, ssh-key-bootstrap-no-sshpass, swapfile-resize-safe-ordering. memories (2 stores): --home-blank-.omp-- (dotfiles_git, handy_lifecycle, input_permissions) and --home-blank-Projects-serverAppConfig-- (frank_large_quadlet). Secret sweep before staging: no PEM blocks, no credential literals. Content is fleet topology/IPs only, same class as the tracked dank stores.
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SERVICE: frank-large (rootless Quadlet, boot-persistent) on dankclaw.
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Unit: frank-large.service | Container: frank-large.
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PORTS: Engine :8730 (container loopback, unauth), Front-end :8731, Published :7770.
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CONSTRAINTS: Weights pinned (~68 GiB). Env vars to avoid naming: TEMP, HOST, GPU_MAX_HEAP_SIZE (HIP runtime reads bare TEMP for JIT cache path).
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TEST_ENV: pyyaml missing for test suite (uv available, pip missing on system python3). Most suite failures are pre-existing environment issues, not commit regressions.
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LOG_RETRIEVAL: podman logs frank-large (full); podman logs frank-large 2>&1 | grep -E '^(dmalloc|kv pool):' (filtered); journalctl --user -u frank-large (journald).
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