Merge upstream/main: resolve conflicts preserving local customizations

Merge 207 upstream commits (up to v1.2.41) while keeping Apple Container
runtime support and MiniMax model forwarding. Remove deleted telegram.ts
and credential-proxy.ts imports, widen CONTAINER_RUNTIME_BIN type for
Apple Container detection.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

groups/global/CLAUDE.md

@@ -110,3 +110,42 @@ No `##` headings. No `[links](url)`. No `**double stars**`.
 ### Discord channels (folder starts with `discord_`)
 
 Standard Markdown works: `**bold**`, `*italic*`, `[links](url)`, `# headings`.
+
+---
+
+## Task Scripts
+
+For any recurring task, use `schedule_task`. Frequent agent invocations — especially multiple times a day — consume API credits and can risk account restrictions. If a simple check can determine whether action is needed, add a `script` — it runs first, and the agent is only called when the check passes. This keeps invocations to a minimum.
+
+### How it works
+
+1. You provide a bash `script` alongside the `prompt` when scheduling
+2. When the task fires, the script runs first (30-second timeout)
+3. Script prints JSON to stdout: `{ "wakeAgent": true/false, "data": {...} }`
+4. If `wakeAgent: false` — nothing happens, task waits for next run
+5. If `wakeAgent: true` — you wake up and receive the script's data + prompt
+
+### Always test your script first
+
+Before scheduling, run the script in your sandbox to verify it works:
+
+```bash
+bash -c 'node --input-type=module -e "
+  const r = await fetch(\"https://api.github.com/repos/owner/repo/pulls?state=open\");
+  const prs = await r.json();
+  console.log(JSON.stringify({ wakeAgent: prs.length > 0, data: prs.slice(0, 5) }));
+"'
+```
+
+### When NOT to use scripts
+
+If a task requires your judgment every time (daily briefings, reminders, reports), skip the script — just use a regular prompt.
+
+### Frequent task guidance
+
+If a user wants tasks running more than ~2x daily and a script can't reduce agent wake-ups:
+
+- Explain that each wake-up uses API credits and risks rate limits
+- Suggest restructuring with a script that checks the condition first
+- If the user needs an LLM to evaluate data, suggest using an API key with direct Anthropic API calls inside the script
+- Help the user find the minimum viable frequency