Report Feedback

When the user asks to report a bug / issue / feature request / feedback about Sutando itself — e.g. "report a bug", "something's broken, file it", "I have a feature request" — use this skill to file it.

It posts to the cloud /api/feedback route (the same one the desktop "Report an issue" form uses, which mirrors into GitHub issues) and auto-attaches diagnostic context (platform + a tail of recent workspace logs), so you don't need to gather logs yourself.

This is the single reporting path for all surfaces — chat, Discord, Telegram, and voice (which reaches it by delegating the task to the core agent). There is intentionally no separate voice tool, to avoid duplicating the same capability.

Usage

bash
python3 skills/report-feedback/report-feedback.py \
  --title "<short one-line summary>" \
  [--body "<what happened, steps to reproduce, what was expected>"] \
  [--kind bug|feature|other] \
  [--severity low|medium|high|critical] \
  [--no-logs] [--auto]

• Ask the user for a short title and a description if they're not already clear from the conversation. Infer kind (default bug) and severity (default medium) from context.
• Announce the log attachment before sending, then honor an opt-out. Recent diagnostic logs are attached by default. Since there's no visible checkbox on voice/chat (unlike the desktop form), say so first — e.g. "I'll attach recent diagnostic logs to help debug, unless you'd rather I didn't." If the user declines, pass --no-logs. This makes it an informed opt-out rather than a silent default (especially important on voice, where the user can't see what's being sent). Log excerpts are redaction-scrubbed (Bearer tokens, token=/api_key=/secret= values, common key formats, and the home-dir username are masked) as a backstop, but announcing is still required.

Automatic reports (--auto)

When you (not the user) determine that a bug or error is caused by Sutando itself or AG2 Space — engine services, bridges, the desktop app, AG2 Space connectivity, or the AG2 cloud — file it automatically with --auto. Never --auto-file problems in the user's own projects or code, third-party tools/sites/APIs, or expected failures (bad input, credentials the owner simply hasn't provided).

--auto enforces the owner's Settings toggles (read from <workspace>/state/feedback-prefs.json, written by the desktop app; both default ON when the file is absent):

• File automatic bug reports off → the script prints SKIPPED and exits 3. Respect it — do not retry or route around it.
• Send logs with bug reports off → the log excerpt is omitted from every report (auto and manual), same as --no-logs.

Auto reports are also deduped (an identical title within 24h) and rate-limited (5 per 24h) via <workspace>/state/feedback-auto-reports.json. A SKIPPED exit (3) is a normal outcome, not an error — just move on. After filing an auto report, tell the owner in one short sentence (e.g. "I've filed a bug report about this"); the Settings toggle is the consent surface, so don't ask permission first.

Behavior

• Requires the user to be signed in to Sutando Cloud (Settings → Sutando Cloud). If not, the script prints NOT_SIGNED_IN and exits 2 — relay that and ask them to sign in, then retry. For --auto reports, don't nag: mention it at most once.
• On success it prints OK: filed <kind> report. On API error it prints ERROR: … — relay a brief apology and offer to retry.
• Exit codes: 0 filed, 1 error, 2 not signed in, 3 skipped (auto reports disabled, duplicate, or rate-limited).

Access tier

Owner-tier only — it files under the owner's Sutando Cloud identity, and it reads the owner's cloud token + attaches the owner's workspace log tail. Do not run it for non-owner (team/other) Discord, Slack, or Telegram tiers.

Non-owner tasks never reach this skill: the bridges route team/other tiers to a sandboxed codex exec --sandbox read-only agent (see CLAUDE.md access-control), which has no cloud token and cannot execute this script — so a non-owner can't ship the owner's logs into an issue. Only access_tier: owner (or an unauthenticated local/voice owner task) is processed with full capabilities that can invoke this skill.