bug-triage

name	bug-triage
description	Triage bugs reported in chat/issues, search for duplicates, file or update GitHub issues with full context, and push fix PRs.
trigger	User reports a bug, or asks to triage/file an issue for a reported problem.

Bug Triage Skill

Triage bugs into well-structured GitHub issues on the Agent Orchestrator repo.

Agent Orchestrator is Go + Electron. The backend is a Go daemon (backend/) exposing a loopback HTTP API on 127.0.0.1:3001; the frontend is an Electron + React supervisor (frontend/). There is no pm2/tmux/Node runtime here — the daemon owns lifecycle and sessions run under the Zellij runtime adapter. Triage against this stack, not the old TypeScript agent-orchestrator.

⚠️ Which ao are you running?

Agent Orchestrator ships no ao on your PATH. A bare ao very likely resolves to a different AO install — e.g. an old npm build at ~/.nvm/.../bin/ao that talks to port :3000. Triaging with the wrong binary produces bugs that don't exist in Agent Orchestrator (and miss ones that do).

Before any diagnostics:

which -a ao                      # see every ao on PATH — expect surprises
ao status 2>/dev/null            # if this shows port 3000, it is NOT Agent Orchestrator

Use an Agent Orchestrator binary explicitly:

# Option A — build from this repo (preferred during triage)
cd backend && go build -o /tmp/ao ./cmd/ao
/tmp/ao status                   # must report port: 3001

# Option B — the packaged app's bundled daemon
"/Applications/Agent Orchestrator.app/Contents/Resources/daemon/ao" status

Confirm ao status reports port: 3001 before trusting any output. Throughout this skill, ao means your verified Agent Orchestrator binary (/tmp/ao or the bundled one), never a bare PATH lookup.

Note: spawned sessions get a PATH pin so the session's ao resolves to the daemon's own executable (see hookPATH in backend/internal/session_manager/manager.go). That pin only applies inside sessions — your interactive shell is still on its own PATH, so pin it yourself.

1. Pre-flight

• Pull latest code: git pull origin main. Stale code = bad triage.
• Target repo: Always file on Untrivial-ai/agent-orchestrator (the current product repo, not a fork). Agent Orchestrator is the product, not a thin fork of upstream.
• Verify your binary: confirm ao status shows port 3001 (see warning above).
• Record source: chat URL, reporter name, attachments.

2. Gather Context

2a. Extract the report

Source	How to gather
Discord/Slack thread	Read full thread. Extract: reporter name, original description (the thread starter, not whoever tagged you), screenshots, follow-ups
GitHub issue	gh issue view <number> --repo Untrivial-ai/agent-orchestrator --json body,comments
Live observation	Pull live state via the daemon: ao status, ao session ls, ao session get <id>

2b. Minimum viable report gate

Before tracing code, verify the report has enough substance:

Required (ALL): what happened, where (page/command/feature), when (after upgrade? first time?)

Required (2 of 4): OS/shell, AO version (ao version), reproducibility (consistent vs intermittent), reproduction steps

If insufficient, ask:

"I'd like to triage this but need more info: (1) What happened? (error/behavior), (2) Where? (page/command), (3) When did it start?, (4) How to reproduce?"

2c. Local diagnostics (if bug is on same machine)

Gather everything yourself before asking the reporter. Use your verified Agent Orchestrator binary (/tmp/ao here) for every ao call:

# Environment
/tmp/ao version && go version && echo $SHELL && uname -a
which -a ao                                         # confirm no rogue ao shadows the build
cat ~/.ao/running.json                              # PID + port handshake (expect port 3001)

# Daemon health
/tmp/ao status                                      # daemon up? port? health/ready probes
/tmp/ao doctor                                      # local health checks
lsof -i :3001                                       # who's bound to the daemon port
tail -n 100 ~/.ao/daemon.log                        # daemon log

# Sessions & runtime
/tmp/ao session ls                                  # all sessions and their state
/tmp/ao session get <id>                            # one session: spawn config, runtime, lifecycle
zellij list-sessions                                # Zellij runtime sessions backing terminals

# Durable state (SQLite at ~/.ao/data)
sqlite3 ~/.ao/data/ao.db '.tables'                  # inspect schema/rows if state looks wrong

The daemon owns lifecycle, sessions, storage, and the terminal mux; structured state lives in ~/.ao/data/ao.db (WAL: ao.db-wal, ao.db-shm). The PID+port handshake is ~/.ao/running.json.

Try the reproduction steps. Running the actual command against the daemon on :3001 is worth 100 lines of code tracing.

3. Investigate

3a. Trace the code path

Always trace the actual code — don't surface-level diagnose. A symptom that looks like a simple ao stop issue is often a lifecycle/session-manager problem one layer down. Agent Orchestrator's layers:

• CLI (Cobra, thin client over daemon HTTP): backend/internal/cli/, entrypoint backend/cmd/ao/main.go
• Daemon (loopback HTTP on :3001): backend/internal/daemon/daemon.go, controllers under backend/internal/httpd/controllers/
• Sessions & lifecycle: backend/internal/session_manager/manager.go
• Runtime adapter (Zellij): backend/internal/adapters/runtime/
• Agent harness adapters: backend/internal/adapters/agent/<harness>/
• Terminal mux: backend/internal/terminal/
• Agent hooks: backend/internal/cli/hooks.go

git fetch origin main && git log --oneline origin/main -5   # current HEAD
# Record the commit hash you're analyzing against

Git archaeology — find which commits introduced/removed specific code:

git log --oneline -S 'exact-string' -- <file>
git show <sha> -- <file> | grep -B 5 -A 10 'pattern'

Research dependencies (Zellij, the agent harness binary, Electron, React, the SQLite driver) — check installed vs latest version, search their issue trackers, check changelogs. Root cause is sometimes in a dependency, not Agent Orchestrator.

3b. Cross-platform check

AO targets macOS, Linux, and Windows. If env info indicates Windows (or is unknown), check for these patterns:

• Path separators — hardcoded / or \; use filepath.Join, not string concat
• Shell syntax — PowerShell lacks &&, $VAR, $(cat ...), /dev/null, here-docs
• runtime.GOOS == "windows" scattered inline — centralize platform checks
• Process-tree kills — POSIX process groups vs Windows job objects
• localhost — Windows resolves to ::1 first; the daemon binds the explicit loopback host (see config.LoopbackHost) to avoid IPv4/IPv6 stalls
• Case-insensitive filesystems — don't compare paths with raw ==
• PATH / binary resolution — .exe/PATHEXT lookup, the session PATH pin (hookPATH in backend/internal/session_manager/manager.go)

Key files: backend/internal/config/config.go, backend/internal/session_manager/manager.go, backend/internal/adapters/runtime/, backend/internal/terminal/.

3c. Stop-and-ask triggers

Stop and ask for more info if:

• 3 failed hypotheses — traced 3 code paths, none explain it
• Root cause is a dependency — file with the dependency reference, don't guess a local fix
• UI-only bug and you can't screenshot — ask reporter to describe
• Can't reproduce — ask for different config/sequence

4. Search for Duplicates

Search with multiple strategies, always using --state all (closed bugs regress):

gh issue list --repo Untrivial-ai/agent-orchestrator --state all --search "<symptom>"
gh issue list --repo Untrivial-ai/agent-orchestrator --state all --search "<component-name>"
gh issue list --repo Untrivial-ai/agent-orchestrator --state all --search "<error-message>"
gh pr list --repo Untrivial-ai/agent-orchestrator --state all --search "<keywords>"

Duplicate found → comment on existing issue

gh issue comment <number> --repo Untrivial-ai/agent-orchestrator --body "$(cat <<'EOF'
## New Report
**Reported by:** @<reporter> in [chat](<url>)
**Date:** <YYYY-MM-DD> | **Checkout:** `<commit-hash>`
<context, differences from original, screenshots>
EOF
)"

No duplicate → file new issue (next section)

5. File New Issue

5a. Pre-submission checklist

• Reporter attribution correct (original reporter, not who tagged you)
• Commit hash recorded
• AO version recorded (ao version)
• Reproduced against Agent Orchestrator (:3001 / Go code path), not another AO install
• Root cause confidence scored (see 5c)
• Related issues cross-linked
• Reproduction steps are concrete
• Screenshots uploaded with real URLs (see 5b)

5b. Upload screenshots

⛔ NEVER use placeholder URLs. Upload BEFORE creating the issue.

SLUG="descriptive-slug"
# Create asset branch
gh api -X POST repos/Untrivial-ai/agent-orchestrator/git/refs \
  -f ref="refs/heads/issue-assets-${SLUG}" \
  -f sha=$(git rev-parse origin/main)

# Upload (portable base64)
IMG_B64=$(base64 < /path/to/screenshot.png | tr -d '\n')
gh api -X PUT "repos/Untrivial-ai/agent-orchestrator/contents/.issue-assets/${SLUG}/name.png" \
  -f message="chore: upload screenshot" \
  -f content="$IMG_B64" \
  -f branch="issue-assets-${SLUG}"
# Use: ![screenshot](https://raw.githubusercontent.com/Untrivial-ai/agent-orchestrator/issue-assets-<slug>/.issue-assets/<file>)

5c. Create the issue

gh issue create --repo Untrivial-ai/agent-orchestrator --title "<title>" --body "$(cat <<'EOF'
## Bug
<summary>

**Source:** <url> | **Reported by:** @<reporter> | **Analyzed against:** `<hash>`
**Confidence:** High/Medium/Low

## Reproduction
1. <step>

## Root Cause
<file paths, line numbers, explanation>

## Fix
<suggested approach>

## Impact
- <effects>
EOF
)"

5d. Label and prioritize

Check which labels actually exist first, then apply only those:

gh label list --repo Untrivial-ai/agent-orchestrator          # source of truth — apply only these
gh issue edit <number> --repo Untrivial-ai/agent-orchestrator --add-label "bug"

The repo currently carries bug, enhancement, priority: critical/high/medium/low, lane labels (daemon, frontend, storage, coding-agents, lcm-sm, scm, core, port, adapter, domain), and workflow labels (needs-triage, needs-review, blocked). Do not invent labels — if a priority or confidence label you want doesn't exist, state it in the issue body instead (e.g. "Priority: high — core feature broken, no workaround" / "Confidence: medium").

Priority	Criteria
priority: critical	Data loss, security, system down
priority: high	Core feature broken, no workaround
priority: medium	Feature degraded, workaround exists
priority: low	Cosmetic, edge case

Confidence scoring (always state in the issue body):

Level	Meaning
High	Traced exact code path, specific lines, mechanism explained
Medium	Strong hypothesis but unconfirmed
Low	Can't trace, multiple conflicting theories

5e. Cross-link related issues

Search by subsystem and add a ## Related section to the issue body:

## Related
- [#20](url) — stale session blocking ao start (same subsystem)
- [#35](url) — same race condition

5f. Push a fix PR (always attempt)

Agent Orchestrator is a Go repo — fixes go through a local branch, build, and gh pr create. There is no remote-patch script.

• Unclear fix: Don't push a guess. Document and flag in the issue.

• Trivial, verifiable fix (you can build and test it yourself):

  git checkout -b fix/<slug> origin/main
  # make the edit
  cd backend && go build ./... && go test ./...   # must pass before pushing
  git commit -am "fix(<scope>): <summary>
  
  Fixes #<n>"
  git push -u origin fix/<slug>
  gh pr create --repo Untrivial-ai/agent-orchestrator --fill \
    --title "fix(<scope>): <summary>" \
    --body "Fixes #<n>
  
  ## Summary
  <what changed>
  
  ## Test
  cd backend && go build ./... && go test ./..."
  

• Non-trivial fix (broad change, needs iteration, or you can't fully verify): spawn an Agent Orchestrator worker session to do the work in its own worktree instead of pushing a guess:

  ao spawn --project agent-orchestrator --prompt "Fix #<n>: <one-line problem statement>. \
  Root cause: <file:line + mechanism>. Suggested approach: <approach>. \
  Build with 'cd backend && go build ./... && go test ./...' before opening a PR against Untrivial-ai/agent-orchestrator."
  

  Note the issue with which path you took (PR or spawned worker).

5g. Report back

Issue URL, PR URL (if created) or spawned worker session ID, labels applied (and any priority/confidence stated in the body), root cause summary.

---

Appendix

A. Subsystem Quick Reference

Subsystem	Collect	Key files
CLI (ao start/stop/spawn)	Version, install method, OS, which binary	backend/internal/cli/, backend/cmd/ao/main.go
Daemon / HTTP API	ao status, port, daemon.log	backend/internal/daemon/daemon.go, backend/internal/httpd/controllers/
Sessions / Lifecycle	Session ID, spawn config, runtime, state	backend/internal/session_manager/manager.go
Runtime (Zellij)	Zellij version, zellij list-sessions	backend/internal/adapters/runtime/
Terminal mux	Runtime type, shell, attach behavior	backend/internal/terminal/
Agent harness	Harness name + version	backend/internal/adapters/agent/<harness>/
Storage	DB state, migrations	backend/internal/storage/sqlite/, ~/.ao/data/ao.db
Hooks	Hook event, agent, payload	backend/internal/cli/hooks.go
Frontend (Electron/React)	Screenshot, viewport, daemon connectivity	frontend/src/

Misrouting patterns:

• Terminal bugs → Zellij runtime adapter vs the terminal mux vs the Electron xterm surface. Trace where bytes flow (daemon → mux → frontend).
• "Session stuck" → lifecycle/session-manager state vs agent harness process vs Zellij runtime connection.
• "Config not saving" → config loading (backend/internal/config/config.go) vs project registration vs SQLite write (~/.ao/data/ao.db).
• "Command does nothing / wrong port" → you're on the wrong ao binary (:3000 vs :3001). Re-check which -a ao and ao status.

B. Remote Code Inspection (no local clone)

gh api repos/Untrivial-ai/agent-orchestrator/git/trees/main?recursive=1 --jq '.tree[].path'    # list files
gh api repos/Untrivial-ai/agent-orchestrator/contents/{path} --jq '.content' | python3 -c "import base64,sys; sys.stdout.buffer.write(base64.b64decode(sys.stdin.read()))"  # read file
gh search code "term" --repo Untrivial-ai/agent-orchestrator --json path --jq '.[].path'        # search code
gh api "repos/Untrivial-ai/agent-orchestrator/commits?path={path}&per_page=10" --jq '.[] | "\(.sha[0:8]) \(.commit.message | split("\n")[0])"'  # file history

C. Build / Version Diagnostics

Agent Orchestrator is built from source, not published to npm. Pin the binary under test and reproduce against a known build:

cd backend && go build -o /tmp/ao ./cmd/ao    # build the binary under test
/tmp/ao version                               # record version/commit
go version                                    # toolchain (build issues are often here)
git log --oneline origin/main -1              # the commit you're analyzing against

To bisect a regression, build ao at two commits and compare behavior:

git stash; git checkout <good-sha>; (cd backend && go build -o /tmp/ao-good ./cmd/ao)
git checkout <bad-sha>;             (cd backend && go build -o /tmp/ao-bad  ./cmd/ao)
git checkout - ; git stash pop
# run the repro against /tmp/ao-good vs /tmp/ao-bad

Formatting Rules

• Linkify all issue/PR refs: [#123](https://github.com/Untrivial-ai/agent-orchestrator/issues/123), [PR #456](url). Never bare #123.

Pitfalls

• Wrong ao binary. A bare ao may be a different AO install (old npm build on :3000). Always pin an Agent Orchestrator binary and confirm ao status shows port 3001.
• Verify the bug reproduces against Agent Orchestrator (:3001 / Go code path) before filing — symptoms first seen in another AO install may not reproduce here.
• Reporter ≠ person who tagged you. Always attribute to the original reporter.
• Record the commit hash you analyzed — code changes fast.
• GitHub issue is mandatory — every triaged bug gets one, even if fix is trivial.
• Only apply labels that exist (gh label list --repo Untrivial-ai/agent-orchestrator). State priority/confidence in the body when no matching label exists.
• Build before you push. cd backend && go build ./... && go test ./... must pass; never open a PR with an unverified Go change.
• gh api --jq .content truncates large files (>~100KB). Use local git instead.
• Don't invent Go file paths. Grep the repo to confirm a path before citing it in an issue.