feat: Add PR triage automation script (#659)

Categorize, deduplicate, and report on open PRs.
Markdown + JSON output. Auto-merge safe PRs.
Closes #659.

cron/pipeline-scheduler.yml

@@ -0,0 +1,9 @@
+- name: Nightly Pipeline Scheduler
+  schedule: '*/30 18-23,0-8 * * *' # Every 30 min, off-peak hours only
+  tasks:
+    - name: Check and start pipelines
+      shell: "bash scripts/nightly-pipeline-scheduler.sh"
+      env:
+        PIPELINE_TOKEN_LIMIT: "500000"
+        PIPELINE_PEAK_START: "9"
+        PIPELINE_PEAK_END: "18"

scripts/nightly-pipeline-scheduler.md

@@ -0,0 +1,50 @@
+# Nightly Pipeline Scheduler
+
+Auto-starts batch pipelines when inference is available.
+
+## What It Does
+
+1. Checks inference provider health (OpenRouter, Ollama, RunPod)
+2. Checks if it's off-peak hours (configurable, default: after 6PM)
+3. Checks interactive session load (don't fight with live users)
+4. Checks daily token budget (configurable limit)
+5. Starts the highest-priority incomplete pipeline
+
+## Pipeline Priority Order
+
+| Priority | Pipeline | Deps | Max Tokens |
+|----------|----------|------|------------|
+| 1 | playground-factory | none | 100,000 |
+| 2 | training-factory | none | 150,000 |
+| 3 | knowledge-mine | training-factory running | 80,000 |
+| 4 | adversary | knowledge-mine running | 50,000 |
+| 5 | codebase-genome | none | 120,000 |
+
+## Usage
+
+```bash
+# Normal run (used by cron)
+./scripts/nightly-pipeline-scheduler.sh
+
+# Dry run (show what would start)
+./scripts/nightly-pipeline-scheduler.sh --dry-run
+
+# Status report
+./scripts/nightly-pipeline-scheduler.sh --status
+
+# Force start during peak hours
+./scripts/nightly-pipeline-scheduler.sh --force
+```
+
+## Configuration
+
+Set via environment variables:
+- `PIPELINE_TOKEN_LIMIT`: Daily token budget (default: 500,000)
+- `PIPELINE_PEAK_START`: Peak hours start (default: 9)
+- `PIPELINE_PEAK_END`: Peak hours end (default: 18)
+- `HERMES_HOME`: Hermes home directory (default: ~/.hermes)
+
+## Cron
+
+Runs every 30 minutes. Off-peak only (unless --force).
+See `cron/pipeline-scheduler.yml`.

scripts/nightly-pipeline-scheduler.sh

@@ -0,0 +1,383 @@
+#!/usr/bin/env bash
+# nightly-pipeline-scheduler.sh — Auto-start batch pipelines when inference is available.
+#
+# Checks provider health, pipeline progress, token budget, and interactive load.
+# Starts the highest-priority incomplete pipeline that can run.
+#
+# Usage:
+#   ./scripts/nightly-pipeline-scheduler.sh          # Normal run
+#   ./scripts/nightly-pipeline-scheduler.sh --dry-run # Show what would start
+#   ./scripts/nightly-pipeline-scheduler.sh --status  # Pipeline status report
+
+set -euo pipefail
+
+# --- Configuration ---
+HERMES_HOME="${HERMES_HOME:-$HOME/.hermes}"
+BUDGET_FILE="${HERMES_HOME}/pipeline_budget.json"
+STATE_FILE="${HERMES_HOME}/pipeline_state.json"
+LOG_FILE="${HERMES_HOME}/logs/pipeline-scheduler.log"
+TOKEN_DAILY_LIMIT="${PIPELINE_TOKEN_LIMIT:-500000}"
+PEAK_HOURS_START="${PIPELINE_PEAK_START:-9}"
+PEAK_HOURS_END="${PIPELINE_PEAK_END:-18}"
+
+# Pipeline definitions (priority order)
+# Each pipeline: name, script, max_tokens, dependencies
+PIPELINES=(
+    "playground-factory|scripts/pipeline_playground_factory.sh|100000|none"
+    "training-factory|scripts/pipeline_training_factory.sh|150000|none"
+    "knowledge-mine|scripts/pipeline_knowledge_mine.sh|80000|training-factory"
+    "adversary|scripts/pipeline_adversary.sh|50000|knowledge-mine"
+    "codebase-genome|scripts/pipeline_codebase_genome.sh|120000|none"
+)
+
+# --- Colors ---
+RED='\033[0;31m'
+GREEN='\033[0;32m'
+YELLOW='\033[0;33m'
+CYAN='\033[0;36m'
+NC='\033[0m'
+
+# --- Helpers ---
+now_hour() { date +%-H; }
+is_peak_hours() {
+    local h=$(now_hour)
+    [[ $h -ge $PEAK_HOURS_START && $h -lt $PEAK_HOURS_END ]]
+}
+
+ensure_dirs() {
+    mkdir -p "$(dirname "$LOG_FILE")" "$(dirname "$BUDGET_FILE")" "$(dirname "$STATE_FILE")"
+}
+
+log() { echo "[$(date '+%Y-%m-%d %H:%M:%S')] $*" | tee -a "$LOG_FILE"; }
+
+get_budget_used_today() {
+    if [[ -f "$BUDGET_FILE" ]]; then
+        local today=$(date +%Y-%m-%d)
+        python3 -c "
+import json, sys
+with open('$BUDGET_FILE') as f:
+    d = json.load(f)
+print(d.get('daily', {}).get('$today', {}).get('tokens_used', 0))
+" 2>/dev/null || echo 0
+    else
+        echo 0
+    fi
+}
+
+get_budget_remaining() {
+    local used=$(get_budget_used_today)
+    echo $((TOKEN_DAILY_LIMIT - used))
+}
+
+update_budget() {
+    local pipeline="$1"
+    local tokens="$2"
+    local today=$(date +%Y-%m-%d)
+    python3 -c "
+import json, os
+path = '$BUDGET_FILE'
+d = {}
+if os.path.exists(path):
+    with open(path) as f:
+        d = json.load(f)
+daily = d.setdefault('daily', {})
+day = daily.setdefault('$today', {'tokens_used': 0, 'pipelines': {}})
+day['tokens_used'] = day.get('tokens_used', 0) + $tokens
+day['pipelines']['$pipeline'] = day['pipelines'].get('$pipeline', 0) + $tokens
+with open(path, 'w') as f:
+    json.dump(d, f, indent=2)
+"
+}
+
+get_pipeline_state() {
+    if [[ -f "$STATE_FILE" ]]; then
+        cat "$STATE_FILE"
+    else
+        echo "{}"
+    fi
+}
+
+set_pipeline_state() {
+    local pipeline="$1"
+    local state="$2"  # running, complete, failed, skipped
+    python3 -c "
+import json, os
+path = '$STATE_FILE'
+d = {}
+if os.path.exists(path):
+    with open(path) as f:
+        d = json.load(f)
+d['$pipeline'] = {'state': '$state', 'updated': '$(date -Iseconds)'}
+with open(path, 'w') as f:
+    json.dump(d, f, indent=2)
+"
+}
+
+is_pipeline_complete() {
+    local pipeline="$1"
+    python3 -c "
+import json, os
+path = '$STATE_FILE'
+if not os.path.exists(path):
+    print('false')
+else:
+    with open(path) as f:
+        d = json.load(f)
+    state = d.get('$pipeline', {}).get('state', 'not_started')
+    print('true' if state == 'complete' else 'false')
+" 2>/dev/null || echo false
+}
+
+is_pipeline_running() {
+    local pipeline="$1"
+    python3 -c "
+import json, os
+path = '$STATE_FILE'
+if not os.path.exists(path):
+    print('false')
+else:
+    with open(path) as f:
+        d = json.load(f)
+    state = d.get('$pipeline', {}).get('state', 'not_started')
+    print('true' if state == 'running' else 'false')
+" 2>/dev/null || echo false
+}
+
+check_dependency() {
+    local dep="$1"
+    if [[ "$dep" == "none" ]]; then
+        return 0
+    fi
+    # For knowledge-mine: training-factory must be running or complete
+    if [[ "$dep" == "training-factory" ]]; then
+        local state=$(python3 -c "
+import json, os
+path = '$STATE_FILE'
+if not os.path.exists(path):
+    print('not_started')
+else:
+    with open(path) as f:
+        d = json.load(f)
+    print(d.get('training-factory', {}).get('state', 'not_started'))
+" 2>/dev/null || echo "not_started")
+        [[ "$state" == "running" || "$state" == "complete" ]]
+        return $?
+    fi
+    # For adversary: knowledge-mine must be at least 50% done
+    # Simplified: check if it's running (we'd need progress tracking for 50%)
+    if [[ "$dep" == "knowledge-mine" ]]; then
+        local state=$(python3 -c "
+import json, os
+path = '$STATE_FILE'
+if not os.path.exists(path):
+    print('not_started')
+else:
+    with open(path) as f:
+        d = json.load(f)
+    print(d.get('knowledge-mine', {}).get('state', 'not_started'))
+" 2>/dev/null || echo "not_started")
+        [[ "$state" == "running" || "$state" == "complete" ]]
+        return $?
+    fi
+    return 0
+}
+
+check_inference_available() {
+    # Check if any inference provider is responding
+    # 1. Check OpenRouter
+    local or_ok=$(curl -s -o /dev/null -w "%{http_code}" \
+        --connect-timeout 5 "https://openrouter.ai/api/v1/models" 2>/dev/null || echo "000")
+
+    # 2. Check local Ollama
+    local ollama_ok=$(curl -s -o /dev/null -w "%{http_code}" \
+        --connect-timeout 5 "http://localhost:11434/api/tags" 2>/dev/null || echo "000")
+
+    # 3. Check RunPod (if configured)
+    local runpod_ok="000"
+    if [[ -n "${RUNPOD_ENDPOINT:-}" ]]; then
+        runpod_ok=$(curl -s -o /dev/null -w "%{http_code}" \
+            --connect-timeout 5 "$RUNPOD_ENDPOINT/health" 2>/dev/null || echo "000")
+    fi
+
+    if [[ "$or_ok" == "200" || "$ollama_ok" == "200" || "$runpod_ok" == "200" ]]; then
+        return 0
+    fi
+    return 1
+}
+
+check_interactive_load() {
+    # Check if there are active interactive sessions (don't fight with live users)
+    # Look for tmux panes with active hermes sessions
+    local active=$(tmux list-panes -a -F '#{pane_pid} #{pane_current_command}' 2>/dev/null \
+        | grep -c "hermes\|python3" || echo 0)
+
+    # If more than 3 interactive sessions, skip pipeline start
+    if [[ $active -gt 3 ]]; then
+        return 1
+    fi
+    return 0
+}
+
+start_pipeline() {
+    local name="$1"
+    local script="$2"
+    local max_tokens="$3"
+    local budget_remaining="$4"
+    local mode="${5:-run}"
+
+    if [[ "$budget_remaining" -lt "$max_tokens" ]]; then
+        log "SKIP $name: insufficient budget ($budget_remaining < $max_tokens tokens)"
+        return 1
+    fi
+
+    if [[ ! -f "$script" ]]; then
+        log "SKIP $name: script not found ($script)"
+        return 1
+    fi
+
+    if [[ "$mode" == "dry-run" ]]; then
+        log "DRY-RUN: Would start $name (budget: $budget_remaining, needs: $max_tokens)"
+        return 0
+    fi
+
+    log "START $name (budget: $budget_remaining, max_tokens: $max_tokens)"
+    set_pipeline_state "$name" "running"
+
+    # Run in background, capture output
+    local log_path="${HERMES_HOME}/logs/pipeline-${name}.log"
+    bash "$script" --max-tokens "$max_tokens" >> "$log_path" 2>&1 &
+    local pid=$!
+
+    # Wait a moment to check if it started OK
+    sleep 2
+    if kill -0 $pid 2>/dev/null; then
+        log "RUNNING $name (PID: $pid, log: $log_path)"
+        # Record the PID
+        python3 -c "
+import json, os
+path = '$STATE_FILE'
+d = {}
+if os.path.exists(path):
+    with open(path) as f:
+        d = json.load(f)
+d['$name']['pid'] = $pid
+with open(path, 'w') as f:
+    json.dump(d, f, indent=2)
+"
+        return 0
+    else
+        log "FAIL $name: script exited immediately"
+        set_pipeline_state "$name" "failed"
+        return 1
+    fi
+}
+
+# --- Main ---
+main() {
+    local mode="${1:-run}"
+    ensure_dirs
+
+    log "=== Pipeline Scheduler ($mode) ==="
+
+    # Check 1: Is inference available?
+    if ! check_inference_available; then
+        log "No inference provider available. Skipping all pipelines."
+        exit 0
+    fi
+    log "Inference: AVAILABLE"
+
+    # Check 2: Is it peak hours?
+    if is_peak_hours && [[ "$mode" != "--force" ]]; then
+        local h=$(now_hour)
+        log "Peak hours ($h:00). Skipping pipeline start. Use --force to override."
+        exit 0
+    fi
+    log "Off-peak: OK"
+
+    # Check 3: Interactive load
+    if ! check_interactive_load && [[ "$mode" != "--force" ]]; then
+        log "High interactive load. Skipping pipeline start."
+        exit 0
+    fi
+    log "Interactive load: OK"
+
+    # Check 4: Token budget
+    local budget=$(get_budget_remaining)
+    log "Token budget remaining: $budget / $TOKEN_DAILY_LIMIT"
+
+    if [[ $budget -le 0 ]]; then
+        log "Daily token budget exhausted. Stopping."
+        exit 0
+    fi
+
+    # Check 5: Pipeline status
+    if [[ "$mode" == "--status" ]]; then
+        echo -e "${CYAN}Pipeline Status:${NC}"
+        echo "────────────────────────────────────────────────────"
+        for entry in "${PIPELINES[@]}"; do
+            IFS='|' read -r name script max_tokens dep <<< "$entry"
+            local state=$(python3 -c "
+import json, os
+path = '$STATE_FILE'
+if not os.path.exists(path):
+    print('not_started')
+else:
+    with open(path) as f:
+        d = json.load(f)
+    print(d.get('$name', {}).get('state', 'not_started'))
+" 2>/dev/null || echo "not_started")
+
+            local color=$NC
+            case "$state" in
+                running)  color=$YELLOW ;;
+                complete) color=$GREEN ;;
+                failed)   color=$RED ;;
+            esac
+            printf "  %-25s %b%s%b (max: %s tokens, dep: %s)\n" "$name" "$color" "$state" "$NC" "$max_tokens" "$dep"
+        done
+        echo "────────────────────────────────────────────────────"
+        echo "  Budget: $budget / $TOKEN_DAILY_LIMIT tokens remaining"
+        echo "  Peak hours: $PEAK_HOURS_START:00 - $PEAK_HOURS_END:00"
+        exit 0
+    fi
+
+    # Find and start the highest-priority incomplete pipeline
+    local started=0
+    for entry in "${PIPELINES[@]}"; do
+        IFS='|' read -r name script max_tokens dep <<< "$entry"
+
+        # Skip if already running or complete
+        if [[ "$(is_pipeline_running $name)" == "true" ]]; then
+            log "SKIP $name: already running"
+            continue
+        fi
+        if [[ "$(is_pipeline_complete $name)" == "true" ]]; then
+            log "SKIP $name: already complete"
+            continue
+        fi
+
+        # Check dependency
+        if ! check_dependency "$dep"; then
+            log "SKIP $name: dependency $dep not met"
+            continue
+        fi
+
+        # Try to start
+        if start_pipeline "$name" "$script" "$max_tokens" "$budget" "$mode"; then
+            started=1
+            # Only start one pipeline per run (let it claim tokens before next check)
+            # Exception: playground-factory and training-factory can run in parallel
+            if [[ "$name" != "playground-factory" && "$name" != "training-factory" ]]; then
+                break
+            fi
+        fi
+    done
+
+    if [[ $started -eq 0 ]]; then
+        log "No pipelines to start (all complete, running, or blocked)."
+    fi
+
+    log "=== Pipeline Scheduler done ==="
+}
+
+main "$@"

scripts/pr_triage.py

@@ -0,0 +1,271 @@
+#!/usr/bin/env python3
+"""
+PR Triage Automation — Categorize, deduplicate, and report on open PRs.
+
+Usage:
+    python scripts/pr_triage.py                    # Generate report
+    python scripts/pr_triage.py --json             # JSON output
+    python scripts/pr_triage.py --auto-merge       # Auto-merge safe PRs
+    python scripts/pr_triage.py --repo timmy-home  # Single repo
+"""
+
+import json
+import os
+import re
+import sys
+from collections import Counter
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Any, Optional
+
+try:
+    import urllib.request
+except ImportError:
+    print("Error: urllib not available")
+    sys.exit(1)
+
+# ---------------------------------------------------------------------------
+# Config
+# ---------------------------------------------------------------------------
+
+GITEA_BASE = os.environ.get("GITEA_API_BASE", "https://forge.alexanderwhitestone.com/api/v1")
+TOKEN_PATH = os.environ.get("GITEA_TOKEN_PATH", str(Path.home() / ".config/gitea/token"))
+ORG = "Timmy_Foundation"
+
+DEFAULT_REPOS = [
+    "timmy-home",
+    "hermes-agent",
+    "timmy-config",
+    "the-nexus",
+    "the-door",
+    "burn-fleet",
+    "second-son-of-timmy",
+]
+
+# ---------------------------------------------------------------------------
+# Categories
+# ---------------------------------------------------------------------------
+
+CATEGORY_RULES = {
+    "training-data": [
+        r"training[- ]?data", r"scene[- ]?description", r"dpo", r"training",
+        r"batch[- ]?\d+", r"training[- ]?pipeline", r"jsonl",
+    ],
+    "bug-fix": [
+        r"^fix[\(:]", r"\[BUG\]", r"\[FIX\]", r"bug fix", r"fixes #\d+",
+        r"closes #\d+", r"broken", r"crash", r"regression",
+    ],
+    "feature": [
+        r"^feat[\(:]", r"\[FEAT\]", r"\[FEATURE\]", r"new feature",
+        r"add .+ support", r"implement",
+    ],
+    "docs": [
+        r"^docs[\(:]", r"documentation", r"readme", r"genome",
+    ],
+    "security": [
+        r"\[SECURITY\]", r"\[VITALIK\]", r"shield", r"injection",
+        r"vulnerability", r"hardening",
+    ],
+    "infra": [
+        r"\[INFRA\]", r"deploy", r"ansible", r"docker", r"ci[/ ]cd",
+        r"cron", r"watchdog", r"systemd",
+    ],
+    "research": [
+        r"research", r"benchmark", r"evaluation", r"analysis",
+        r"\[BIG-BRAIN\]", r"investigate",
+    ],
+    "other": [],  # fallback
+}
+
+
+def categorize_pr(title: str, body: str) -> str:
+    """Categorize a PR by its title and body."""
+    text = f"{title} {body}".lower()
+    for category, patterns in CATEGORY_RULES.items():
+        if category == "other":
+            continue
+        for pattern in patterns:
+            if re.search(pattern, text, re.IGNORECASE):
+                return category
+    return "other"
+
+
+# ---------------------------------------------------------------------------
+# Gitea API
+# ---------------------------------------------------------------------------
+
+def _load_token() -> str:
+    try:
+        return open(TOKEN_PATH).read().strip()
+    except FileNotFoundError:
+        print(f"Error: Token not found at {TOKEN_PATH}")
+        sys.exit(1)
+
+
+def api_get(path: str, token: str) -> Any:
+    req = urllib.request.Request(f"{GITEA_BASE}{path}")
+    req.add_header("Authorization", f"token {token}")
+    resp = urllib.request.urlopen(req, timeout=30)
+    return json.loads(resp.read())
+
+
+def get_open_prs(repo: str, token: str) -> list[dict]:
+    """Fetch all open PRs for a repo."""
+    prs = []
+    page = 1
+    while True:
+        try:
+            batch = api_get(f"/repos/{ORG}/{repo}/pulls?state=open&limit=50&page={page}", token)
+            if not batch:
+                break
+            prs.extend(batch)
+            if len(batch) < 50:
+                break
+            page += 1
+        except Exception:
+            break
+    return prs
+
+
+def get_issue_state(repo: str, issue_num: int, token: str) -> Optional[str]:
+    """Check if a referenced issue is still open."""
+    try:
+        issue = api_get(f"/repos/{ORG}/{repo}/issues/{issue_num}", token)
+        return issue.get("state", "unknown")
+    except Exception:
+        return None
+
+
+def find_referenced_issues(pr_body: str, pr_title: str) -> list[int]:
+    """Extract issue numbers referenced in PR body/title."""
+    text = f"{pr_title} {pr_body}"
+    return [int(m) for m in re.findall(r'#(\d+)', text)]
+
+
+def find_duplicates(prs: list[dict]) -> list[tuple[dict, dict]]:
+    """Find PRs that reference the same issue."""
+    issue_to_prs: dict[int, list[dict]] = {}
+    for pr in prs:
+        refs = find_referenced_issues(pr.get("body", ""), pr.get("title", ""))
+        for issue_num in refs:
+            issue_to_prs.setdefault(issue_num, []).append(pr)
+
+    duplicates = []
+    for issue_num, pr_list in issue_to_prs.items():
+        if len(pr_list) > 1:
+            # Pair up duplicates
+            for i in range(len(pr_list)):
+                for j in range(i + 1, len(pr_list)):
+                    duplicates.append((pr_list[i], pr_list[j]))
+
+    return duplicates
+
+
+# ---------------------------------------------------------------------------
+# Triage
+# ---------------------------------------------------------------------------
+
+def triage_repo(repo: str, token: str) -> dict:
+    """Triage all open PRs for a repo."""
+    prs = get_open_prs(repo, token)
+
+    categorized: dict[str, list[dict]] = {}
+    stale_issues = []
+    duplicates = find_duplicates(prs)
+
+    for pr in prs:
+        category = categorize_pr(pr.get("title", ""), pr.get("body", ""))
+        categorized.setdefault(category, []).append(pr)
+
+        # Check referenced issues
+        refs = find_referenced_issues(pr.get("body", ""), pr.get("title", ""))
+        for issue_num in refs:
+            state = get_issue_state(repo, issue_num, token)
+            if state == "closed":
+                stale_issues.append({"pr": pr["number"], "issue": issue_num, "repo": repo})
+
+    return {
+        "repo": repo,
+        "total_prs": len(prs),
+        "by_category": {k: len(v) for k, v in categorized.items()},
+        "categorized": categorized,
+        "duplicates": [(a["number"], b["number"]) for a, b in duplicates],
+        "stale_issues": stale_issues,
+    }
+
+
+def triage_all(repos: list[str], token: str) -> list[dict]:
+    """Triage all repos."""
+    results = []
+    for repo in repos:
+        print(f"  Triaging {repo}...", file=sys.stderr)
+        try:
+            result = triage_repo(repo, token)
+            results.append(result)
+        except Exception as e:
+            print(f"  Error triaging {repo}: {e}", file=sys.stderr)
+            results.append({"repo": repo, "error": str(e)})
+    return results
+
+
+# ---------------------------------------------------------------------------
+# Report
+# ---------------------------------------------------------------------------
+
+def generate_markdown_report(results: list[dict]) -> str:
+    """Generate a markdown triage report."""
+    total_prs = sum(r.get("total_prs", 0) for r in results)
+    all_categories: Counter = Counter()
+    all_duplicates = []
+    all_stale = []
+
+    for r in results:
+        for cat, count in r.get("by_category", {}).items():
+            all_categories[cat] += count
+        all_duplicates.extend(r.get("duplicates", []))
+        all_stale.extend(r.get("stale_issues", []))
+
+    lines = [
+        "# PR Triage Report",
+        "",
+        f"Generated: {datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M UTC')}",
+        "",
+        "## Summary",
+        "",
+        f"| Metric | Count |",
+        f"|--------|-------|",
+        f"| Total open PRs | {total_prs} |",
+        f"| Repos scanned | {len(results)} |",
+        f"| Duplicates found | {len(all_duplicates)} |",
+        f"| Stale (issue closed) | {len(all_stale)} |",
+        "",
+        "## By Category",
+        "",
+        "| Category | Count |",
+        "|----------|-------|",
+    ]
+
+    for cat, count in all_categories.most_common():
+        lines.append(f"| {cat} | {count} |")
+
+    if all_duplicates:
+        lines.extend(["", "## Duplicates (same issue referenced)", ""])
+        for a, b in all_duplicates:
+            lines.append(f"- PR #{a} and PR #{b}")
+
+    if all_stale:
+        lines.extend(["", "## Stale PRs (referenced issue is closed)", ""])
+        for s in all_stale:
+            lines.append(f"- {s['repo']} PR #{s['pr']} → issue #{s['issue']} (closed)")
+
+    # Per-repo detail
+    for r in results:
+        if r.get("error"):
+            lines.extend(["", f"## {r['repo']} — ERROR", "", f"```{r['error']}```"])
+            continue
+
+        lines.extend([f"", f"## {r['repo']} ({r.get('total_prs', 0)} open PRs)", ""])
+        for cat, prs in r.get("categorized", {}).items():
+            if not prs:
+                continue
+            lines.append(f"