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Resource-usage report showed ~29 cores of average load coming from i3blocks helper scripts forking awk/tr/grep/bc/sensors/nvidia-smi every tick. Rewrite all five hot-path scripts to eliminate forks: - volume.sh: persist mode, blocks on 'pactl subscribe' event stream. No polling, no sleep, no fork per tick. - gpu_monitor.sh: persist mode, single long-lived 'nvidia-smi --loop=5' feeds a bash 'while read' loop. Falls back to /sys for amdgpu. - battery_status.sh: reads /sys/class/power_supply/BAT*/ directly. Zero forks; replaces 'acpi | awk' pipeline. - cpu_monitor.sh: reads /proc/loadavg and k10temp/coretemp /sys/class/hwmon. Zero forks; replaces 'sensors | awk | tr' + bc arithmetic. - motherboard_temp.sh: reads nct*/it*/f71* Super-I/O hwmon node directly. Zero forks. Configure volume + gpu_monitor with interval=persist so i3blocks keeps one long-lived producer each instead of forking per tick. Also add: - kill_stale_recorders.sh -- kill stray ffmpeg x11grab / dotnet-trace / dotnet-monitor processes left running after sessions. - monitors.slice -- resource-capped user slice (CPUQuota=50%, MemoryMax=512M, MemorySwapMax=0 for zram safety, TasksMax=256) to bound future monitoring regressions. - efficient-polling-scripts SKILL -- rules for writing status-bar and polling scripts without forks; fork-pipeline to bash-builtin translation table; verification checklist. Verified live: strace -c on cpu_monitor.sh shows 1 execve / 0 clones; persist producers (pactl subscribe, nvidia-smi --loop) show 0 CPU ticks over a 3s idle sample. Per-invocation timing 1.6-1.9 ms (was 30-80 ms). |
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| i3 | ||
| i3blocks | ||
| install.sh | ||
| LICENSE | ||