fix: add directory exclusions for scan performance (#170)

Analyzes cron jobs, docs, scripts, session transcripts, and shell history to find manual processes that could be automated.

Outputs ranked proposals with confidence scores and impact ratings.

scripts/automation_opportunity_finder.py

@@ -0,0 +1,554 @@
+#!/usr/bin/env python3
+"""
+Automation Opportunity Finder — Scan fleet for manual processes that could be automated.
+
+Analyzes:
+1. Cron jobs — finds manual steps between scheduled tasks
+2. Documentation — extracts TODO/FIXME/manual-step patterns
+3. Scripts — detects repeated command sequences
+4. Session transcripts — finds repeated tool-call patterns
+
+Usage:
+    python3 scripts/automation_opportunity_finder.py --hermes-home ~/.hermes
+    python3 scripts/automation_opportunity_finder.py --hermes-home ~/.hermes --json
+    python3 scripts/automation_opportunity_finder.py --hermes-home ~/.hermes --output proposals.json
+"""
+
+import argparse
+import json
+import os
+import re
+import sys
+from collections import Counter, defaultdict
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Any, Dict, List, Optional
+
+
+# ---------------------------------------------------------------------------
+# Patterns that signal manual work
+# ---------------------------------------------------------------------------
+
+MANUAL_STEP_PATTERNS = [
+    # Explicit manual markers
+    (r"(?i)\bTODO[:\s]", "todo"),
+    (r"(?i)\bFIXME[:\s]", "fixme"),
+    (r"(?i)\bMANUAL[:\s]", "manual_step"),
+    (r"(?i)\bHACK[:\s]", "hack"),
+    (r"(?i)\bWORKAROUND[:\s]", "workaround"),
+    # Step-by-step instructions in docs
+    (r"(?i)^(\d+)[.\)]\s+(run|execute|ssh|scp|curl|cd|make|docker|ansible|git)", "sequential_step"),
+    # Explicitly manual operations
+    (r"(?i)\bmanually\b", "manual_keyword"),
+    (r"(?i)\bby hand\b", "manual_keyword"),
+    (r"(?i)\bdon\'?t forget to\b", "manual_keyword"),
+    (r"(?i)\bremember to\b", "manual_keyword"),
+    (r"(?i)\bmake sure to\b", "manual_keyword"),
+]
+
+# Shell commands that appear frequently in runbooks — signal automatable workflows
+SHELL_COMMAND_PATTERNS = [
+    "ssh ", "scp ", "rsync ", "curl ", "wget ",
+    "docker ", "docker-compose ", "kubectl ",
+    "ansible-playbook ", "terraform ", "systemctl ",
+    "systemctl restart", "systemctl status",
+    "git push", "git pull", "git merge", "git checkout",
+    "pip install", "npm install", "cargo build",
+]
+
+# Directories to skip during scans — large/uninteresting trees
+EXCLUDE_DIRS = frozenset({
+    "node_modules", "venv", ".venv", "__pycache__", ".git",
+    "site-packages", "dist", "build", ".tox", ".mypy_cache",
+    ".pytest_cache", "coverage", ".next", "vendor",
+    "skills",  # hermes skills dir is huge
+    "audio_cache", "skins", "profiles",
+})
+
+# Session tool calls that appear repeatedly — candidates for workflow automation
+TOOL_SEQUENCE_MIN_OCCURRENCES = 3
+
+
+# ---------------------------------------------------------------------------
+# Analyzers
+# ---------------------------------------------------------------------------
+
+def analyze_cron_jobs(hermes_home: str) -> List[Dict[str, Any]]:
+    """Analyze cron job definitions for automation gaps."""
+    proposals = []
+    cron_dir = Path(hermes_home) / "cron"
+    jobs_file = cron_dir / "jobs.json"
+
+    if not jobs_file.exists():
+        # Try YAML format
+        for ext in (".yaml", ".yml"):
+            alt = cron_dir / f"jobs{ext}"
+            if alt.exists():
+                jobs_file = alt
+                break
+
+    if not jobs_file.exists():
+        return proposals
+
+    try:
+        if jobs_file.suffix == ".json":
+            with open(jobs_file) as f:
+                jobs = json.load(f)
+        else:
+            try:
+                import yaml
+                with open(jobs_file) as f:
+                    jobs = yaml.safe_load(f)
+            except ImportError:
+                return proposals
+    except (json.JSONDecodeError, Exception):
+        return proposals
+
+    if not isinstance(jobs, list):
+        return proposals
+
+    # Look for disabled jobs (someone turned them off — might need a different approach)
+    disabled = [j for j in jobs if not j.get("enabled", True)]
+    if disabled:
+        names = [j.get("name", j.get("id", "?")) for j in disabled[:5]]
+        proposals.append({
+            "category": "cron_disabled",
+            "title": f"{len(disabled)} disabled cron job(s) may need automation rework",
+            "description": f"These jobs were disabled: {', '.join(names)}. Investigate why and whether a different automation approach is needed.",
+            "confidence": 0.7,
+            "impact": "medium",
+            "sources": [str(jobs_file)],
+        })
+
+    # Look for jobs with high error counts
+    error_jobs = [j for j in jobs if j.get("last_status") == "error"]
+    if error_jobs:
+        names = [j.get("name", j.get("id", "?")) for j in error_jobs[:5]]
+        proposals.append({
+            "category": "cron_errors",
+            "title": f"{len(error_jobs)} cron job(s) failing — may need automation rework",
+            "description": f"Jobs with errors: {', '.join(names)}. Failure patterns suggest missing dependencies or fragile automation.",
+            "confidence": 0.8,
+            "impact": "high",
+            "sources": [str(jobs_file)],
+        })
+
+    # Look for jobs with delivery errors (platform issues)
+    delivery_errors = [j for j in jobs if j.get("last_delivery_error")]
+    if delivery_errors:
+        proposals.append({
+            "category": "cron_delivery",
+            "title": f"{len(delivery_errors)} cron job(s) have delivery failures",
+            "description": "Delivery failures suggest missing retry logic or platform integration gaps.",
+            "confidence": 0.75,
+            "impact": "medium",
+            "sources": [str(jobs_file)],
+        })
+
+    # Look for jobs on short intervals that could be event-driven
+    for job in jobs:
+        schedule = job.get("schedule", "")
+        # Check for very frequent schedules (every minute, every 5 min)
+        if isinstance(schedule, str) and re.match(r"^\*\/([1-5])\s", schedule):
+            proposals.append({
+                "category": "cron_frequency",
+                "title": f"Job '{job.get('name', job.get('id', '?'))}' runs every {schedule.split()[0]} — consider event-driven",
+                "description": f"High-frequency cron ({schedule}) may be better as event-driven or daemon.",
+                "confidence": 0.6,
+                "impact": "low",
+                "sources": [str(jobs_file)],
+            })
+
+    return proposals
+
+
+def analyze_documents(root_dirs: List[str]) -> List[Dict[str, Any]]:
+    """Scan documentation for manual step patterns."""
+    proposals = []
+    doc_extensions = {".md", ".txt", ".rst", ".adoc"}
+    findings_by_category = defaultdict(list)
+
+    for root_dir in root_dirs:
+        root = Path(root_dir)
+        if not root.exists():
+            continue
+
+        for path in root.rglob("*"):
+            if path.is_dir():
+                continue
+            if path.suffix not in doc_extensions:
+                continue
+            # Skip excluded dirs and hidden dirs
+            parts = path.relative_to(root).parts if root in path.parents or root == path.parent else path.parts
+            if any(p.startswith(".") or p in EXCLUDE_DIRS for p in parts):
+                continue
+            if len(parts) > 8:
+                continue
+
+            try:
+                content = path.read_text(errors="replace")
+            except (PermissionError, OSError):
+                continue
+
+            lines = content.split("\n")
+            for i, line in enumerate(lines):
+                stripped = line.strip()
+                if not stripped:
+                    continue
+
+                for pattern, category in MANUAL_STEP_PATTERNS:
+                    if re.search(pattern, stripped):
+                        findings_by_category[category].append({
+                            "file": str(path),
+                            "line": i + 1,
+                            "text": stripped[:200],
+                        })
+
+    # Generate proposals from findings
+    for category, findings in findings_by_category.items():
+        if len(findings) < 2:
+            continue
+
+        file_count = len(set(f["file"] for f in findings))
+        proposals.append({
+            "category": f"manual_{category}",
+            "title": f"{len(findings)} '{category}' markers across {file_count} doc(s)",
+            "description": f"Found in: {', '.join(set(Path(f['file']).name for f in findings[:5]))}",
+            "confidence": 0.65,
+            "impact": "medium",
+            "sources": list(set(f["file"] for f in findings[:10])),
+            "details": findings[:5],  # sample
+        })
+
+    return proposals
+
+
+def analyze_scripts(root_dirs: List[str]) -> List[Dict[str, Any]]:
+    """Detect repeated command sequences in scripts."""
+    proposals = []
+    script_extensions = {".py", ".sh", ".bash", ".zsh"}
+    command_counter = Counter()
+    command_locations = defaultdict(list)
+
+    for root_dir in root_dirs:
+        root = Path(root_dir)
+        if not root.exists():
+            continue
+
+        for path in root.rglob("*"):
+            if path.is_dir():
+                continue
+            if path.suffix not in script_extensions:
+                continue
+            parts = path.relative_to(root).parts if root in path.parents or root == path.parent else path.parts
+            if any(p.startswith(".") or p in EXCLUDE_DIRS for p in parts):
+                continue
+            if len(parts) > 8:
+                continue
+
+            try:
+                content = path.read_text(errors="replace")
+            except (PermissionError, OSError):
+                continue
+
+            lines = content.split("\n")
+            for i, line in enumerate(lines):
+                stripped = line.strip()
+                if not stripped or stripped.startswith("#"):
+                    continue
+
+                for cmd_prefix in SHELL_COMMAND_PATTERNS:
+                    if cmd_prefix in stripped:
+                        # Normalize the command
+                        normalized = re.sub(r"\s+", " ", stripped)[:120]
+                        command_counter[normalized] += 1
+                        command_locations[normalized].append(f"{path}:{i+1}")
+
+    # Proposals for commands appearing 3+ times
+    for cmd, count in command_counter.most_common(20):
+        if count < 3:
+            break
+        locs = command_locations[cmd]
+        file_count = len(set(loc.split(":")[0] for loc in locs))
+        proposals.append({
+            "category": "repeated_command",
+            "title": f"Command repeated {count}x across {file_count} file(s): {cmd[:80]}",
+            "description": f"Locations: {', '.join(locs[:3])}",
+            "confidence": min(0.5 + (count * 0.1), 0.95),
+            "impact": "medium",
+            "sources": list(set(loc.split(":")[0] for loc in locs)),
+        })
+
+    return proposals
+
+
+def analyze_session_transcripts(session_dirs: List[str]) -> List[Dict[str, Any]]:
+    """Find repeated tool-call patterns in session transcripts."""
+    proposals = []
+    tool_sequence_counter = Counter()
+    tool_sequence_examples = {}
+
+    for session_dir in session_dirs:
+        session_path = Path(session_dir)
+        if not session_path.exists():
+            continue
+
+        for path in session_path.rglob("*.jsonl"):
+            try:
+                content = path.read_text(errors="replace")
+            except (PermissionError, OSError):
+                continue
+
+            # Extract tool calls in sequence
+            tool_sequence = []
+            for line in content.split("\n"):
+                line = line.strip()
+                if not line:
+                    continue
+                try:
+                    msg = json.loads(line)
+                except json.JSONDecodeError:
+                    continue
+
+                # Look for tool calls in assistant messages
+                if msg.get("role") == "assistant" and msg.get("tool_calls"):
+                    for tc in msg["tool_calls"]:
+                        func_name = tc.get("function", {}).get("name", "?")
+                        tool_sequence.append(func_name)
+
+            # Find 2-call sequences
+            for i in range(len(tool_sequence) - 1):
+                seq = (tool_sequence[i], tool_sequence[i + 1])
+                tool_sequence_counter[seq] += 1
+                if seq not in tool_sequence_examples:
+                    tool_sequence_examples[seq] = str(path.name)
+
+            # Find 3-call sequences
+            for i in range(len(tool_sequence) - 2):
+                seq = (tool_sequence[i], tool_sequence[i + 1], tool_sequence[i + 2])
+                tool_sequence_counter[seq] += 1
+                if seq not in tool_sequence_examples:
+                    tool_sequence_examples[seq] = str(path.name)
+
+    # Generate proposals for frequently repeated sequences
+    for seq, count in tool_sequence_counter.most_common(20):
+        if count < TOOL_SEQUENCE_MIN_OCCURRENCES:
+            break
+        seq_str = " -> ".join(seq)
+        proposals.append({
+            "category": "tool_sequence",
+            "title": f"Tool sequence '{seq_str}' repeated {count} times",
+            "description": f"Consider creating a workflow/skill that automates this sequence.",
+            "confidence": min(0.5 + (count * 0.05), 0.9),
+            "impact": "medium",
+            "sources": [tool_sequence_examples.get(seq, "unknown")],
+        })
+
+    return proposals
+
+
+def analyze_shell_history(root_dirs: List[str]) -> List[Dict[str, Any]]:
+    """Find repeated shell commands from history files."""
+    proposals = []
+    command_counter = Counter()
+
+    for root_dir in root_dirs:
+        root = Path(root_dir)
+        history_files = []
+
+        # Look for shell history files
+        for name in (".bash_history", ".zsh_history", ".python_history"):
+            p = root / name
+            if p.exists():
+                history_files.append(p)
+
+        # Also check in hermes home
+        for p in root.glob("**/*history*"):
+            if p.is_file() and p.suffix in ("", ".txt", ".log"):
+                history_files.append(p)
+
+        for hf in history_files:
+            try:
+                content = hf.read_text(errors="replace")
+            except (PermissionError, OSError):
+                continue
+
+            for line in content.split("\n"):
+                stripped = line.strip()
+                # ZSH history format: ": 1234567890:0;command"
+                stripped = re.sub(r"^:\s*\d+:\d+;", "", stripped)
+                if not stripped or len(stripped) < 5:
+                    continue
+                # Skip trivial commands
+                if stripped in ("ls", "cd", "pwd", "clear", "exit"):
+                    continue
+                command_counter[stripped] += 1
+
+    for cmd, count in command_counter.most_common(10):
+        if count < 5:
+            break
+        proposals.append({
+            "category": "shell_repetition",
+            "title": f"Shell command run {count}+ times: {cmd[:80]}",
+            "description": "Frequently repeated shell command — candidate for alias, function, or script.",
+            "confidence": min(0.4 + (count * 0.05), 0.85),
+            "impact": "low",
+            "sources": ["shell_history"],
+        })
+
+    return proposals
+
+
+# ---------------------------------------------------------------------------
+# Proposal output
+# ---------------------------------------------------------------------------
+
+def deduplicate_proposals(proposals: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
+    """Remove duplicate proposals based on title similarity."""
+    seen_titles = set()
+    unique = []
+    for p in proposals:
+        # Normalize title for dedup
+        key = re.sub(r"\d+", "N", p["title"]).lower()
+        if key not in seen_titles:
+            seen_titles.add(key)
+            unique.append(p)
+    return unique
+
+
+def rank_proposals(proposals: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
+    """Sort proposals by impact * confidence (highest first)."""
+    impact_weight = {"critical": 1.0, "high": 0.8, "medium": 0.5, "low": 0.2}
+    return sorted(
+        proposals,
+        key=lambda p: impact_weight.get(p.get("impact", "low"), 0.2) * p.get("confidence", 0.5),
+        reverse=True,
+    )
+
+
+def format_text_report(proposals: List[Dict[str, Any]]) -> str:
+    """Format proposals as human-readable text."""
+    if not proposals:
+        return "No automation opportunities found."
+
+    lines = [
+        "=" * 70,
+        "  AUTOMATION OPPORTUNITY REPORT",
+        f"  Generated: {datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M UTC')}",
+        f"  Proposals: {len(proposals)}",
+        "=" * 70,
+        "",
+    ]
+
+    for i, p in enumerate(proposals, 1):
+        score = p.get("confidence", 0.5) * {"critical": 1.0, "high": 0.8, "medium": 0.5, "low": 0.2}.get(p.get("impact", "low"), 0.2)
+        lines.append(f"[{i}] {p['title']}")
+        lines.append(f"    Category: {p['category']}  |  Impact: {p.get('impact','?')}  |  Confidence: {p.get('confidence',0):.0%}  |  Score: {score:.2f}")
+        lines.append(f"    {p['description']}")
+        if p.get("sources"):
+            lines.append(f"    Sources: {', '.join(p['sources'][:3])}")
+        lines.append("")
+
+    # Summary by category
+    cat_counts = Counter(p["category"] for p in proposals)
+    lines.append("-" * 70)
+    lines.append("Summary by category:")
+    for cat, count in cat_counts.most_common():
+        lines.append(f"  {cat}: {count}")
+
+    return "\n".join(lines)
+
+
+# ---------------------------------------------------------------------------
+# Main
+# ---------------------------------------------------------------------------
+
+def main():
+    parser = argparse.ArgumentParser(description="Find automation opportunities across the fleet")
+    parser.add_argument("--hermes-home", default=os.path.expanduser("~/.hermes"),
+                        help="Path to hermes home directory (default: ~/.hermes)")
+    parser.add_argument("--scan-dirs", nargs="*",
+                        help="Additional directories to scan (default: hermes-home + cwd)")
+    parser.add_argument("--session-dirs", nargs="*",
+                        help="Session transcript directories (default: hermes-home/sessions)")
+    parser.add_argument("--json", action="store_true", help="Output as JSON")
+    parser.add_argument("--output", "-o", help="Write proposals to file")
+    parser.add_argument("--min-confidence", type=float, default=0.3,
+                        help="Minimum confidence threshold (default: 0.3)")
+    parser.add_argument("--categories", nargs="*",
+                        help="Only include these categories (cron, docs, scripts, sessions, shell)")
+    args = parser.parse_args()
+
+    hermes_home = os.path.expanduser(args.hermes_home)
+
+    # Default scan directories
+    scan_dirs = [hermes_home, "."]
+    if args.scan_dirs:
+        scan_dirs.extend(args.scan_dirs)
+
+    session_dirs = [os.path.join(hermes_home, "sessions")]
+    if args.session_dirs:
+        session_dirs.extend(args.session_dirs)
+
+    # Also check common session locations
+    for subdir in ("transcripts", "session-db"):
+        p = os.path.join(hermes_home, subdir)
+        if os.path.isdir(p):
+            session_dirs.append(p)
+
+    categories = set(args.categories) if args.categories else {"cron", "docs", "scripts", "sessions", "shell"}
+
+    # Run analyzers
+    all_proposals = []
+
+    if "cron" in categories:
+        all_proposals.extend(analyze_cron_jobs(hermes_home))
+
+    if "docs" in categories:
+        all_proposals.extend(analyze_documents(scan_dirs))
+
+    if "scripts" in categories:
+        all_proposals.extend(analyze_scripts(scan_dirs))
+
+    if "sessions" in categories:
+        all_proposals.extend(analyze_session_transcripts(session_dirs))
+
+    if "shell" in categories:
+        all_proposals.extend(analyze_shell_history(scan_dirs))
+
+    # Deduplicate and rank
+    all_proposals = deduplicate_proposals(all_proposals)
+    all_proposals = rank_proposals(all_proposals)
+
+    # Filter by confidence
+    all_proposals = [p for p in all_proposals if p.get("confidence", 0) >= args.min_confidence]
+
+    # Output
+    output = {
+        "generated_at": datetime.now(timezone.utc).isoformat(),
+        "hermes_home": hermes_home,
+        "scan_dirs": scan_dirs,
+        "total_proposals": len(all_proposals),
+        "proposals": all_proposals,
+    }
+
+    if args.json:
+        result = json.dumps(output, indent=2)
+    else:
+        result = format_text_report(all_proposals)
+
+    if args.output:
+        with open(args.output, "w") as f:
+            if args.json:
+                json.dump(output, f, indent=2)
+            else:
+                f.write(result)
+        print(f"Written to {args.output}", file=sys.stderr)
+    else:
+        print(result)
+
+    return 0 if all_proposals else 1
+
+
+if __name__ == "__main__":
+    sys.exit(main())

scripts/knowledge_staleness_check.py

@@ -0,0 +1,131 @@
+#!/usr/bin/env python3
+"""
+Knowledge Store Staleness Detector — Detect stale knowledge entries by comparing source file hashes.
+
+Usage:
+    python3 scripts/knowledge_staleness_check.py --index knowledge/index.json
+    python3 scripts/knowledge_staleness_check.py --index knowledge/index.json --json
+    python3 scripts/knowledge_staleness_check.py --index knowledge/index.json --fix
+"""
+
+import argparse
+import hashlib
+import json
+import os
+import sys
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Dict, List, Any, Optional
+
+
+def compute_file_hash(filepath: str) -> Optional[str]:
+    """Compute SHA-256 hash of a file. Returns None if file doesn't exist."""
+    try:
+        with open(filepath, "rb") as f:
+            return "sha256:" + hashlib.sha256(f.read()).hexdigest()
+    except (FileNotFoundError, IsADirectoryError, PermissionError):
+        return None
+
+
+def check_staleness(index_path: str, repo_root: str = ".") -> List[Dict[str, Any]]:
+    """Check all entries in knowledge index for staleness.
+    
+    Returns list of entries with staleness info:
+    - status: "fresh" | "stale" | "missing_source" | "no_hash"
+    - current_hash: computed hash (if source exists)
+    - stored_hash: hash from index
+    """
+    with open(index_path) as f:
+        data = json.load(f)
+
+    facts = data.get("facts", [])
+    results = []
+
+    for entry in facts:
+        source_file = entry.get("source_file")
+        stored_hash = entry.get("source_hash")
+
+        if not source_file:
+            results.append({**entry, "status": "no_source", "current_hash": None})
+            continue
+
+        full_path = os.path.join(repo_root, source_file)
+        current_hash = compute_file_hash(full_path)
+
+        if current_hash is None:
+            results.append({**entry, "status": "missing_source", "current_hash": None})
+        elif not stored_hash:
+            results.append({**entry, "status": "no_hash", "current_hash": current_hash})
+        elif current_hash != stored_hash:
+            results.append({**entry, "status": "stale", "current_hash": current_hash})
+        else:
+            results.append({**entry, "status": "fresh", "current_hash": current_hash})
+
+    return results
+
+
+def fix_hashes(index_path: str, repo_root: str = ".") -> int:
+    """Add hashes to entries missing them. Returns count of fixed entries."""
+    with open(index_path) as f:
+        data = json.load(f)
+
+    fixed = 0
+    for entry in data.get("facts", []):
+        if entry.get("source_hash"):
+            continue
+        source_file = entry.get("source_file")
+        if not source_file:
+            continue
+        full_path = os.path.join(repo_root, source_file)
+        h = compute_file_hash(full_path)
+        if h:
+            entry["source_hash"] = h
+            fixed += 1
+
+    with open(index_path, "w") as f:
+        json.dump(data, f, indent=2)
+
+    return fixed
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Check knowledge store staleness")
+    parser.add_argument("--index", required=True, help="Path to knowledge/index.json")
+    parser.add_argument("--repo", default=".", help="Repo root for source file resolution")
+    parser.add_argument("--json", action="store_true", help="Output as JSON")
+    parser.add_argument("--fix", action="store_true", help="Add hashes to entries missing them")
+
+    args = parser.parse_args()
+
+    if args.fix:
+        fixed = fix_hashes(args.index, args.repo)
+        print(f"Fixed {fixed} entries with missing hashes.")
+        return
+
+    results = check_staleness(args.index, args.repo)
+
+    if args.json:
+        print(json.dumps(results, indent=2))
+    else:
+        stale = [r for r in results if r["status"] != "fresh"]
+        fresh = [r for r in results if r["status"] == "fresh"]
+
+        print(f"Knowledge Store Staleness Check")
+        print(f"  Total entries: {len(results)}")
+        print(f"  Fresh: {len(fresh)}")
+        print(f"  Stale/Issues: {len(stale)}")
+        print()
+
+        if stale:
+            print("Issues found:")
+            for r in stale:
+                status = r["status"]
+                fact = r.get("fact", "?")[:60]
+                source = r.get("source_file", "?")
+                print(f"  [{status}] {source}: {fact}")
+        else:
+            print("All entries are fresh!")
+
+
+if __name__ == "__main__":
+    main()

scripts/test_automation_opportunity_finder.py

@@ -0,0 +1,147 @@
+#!/usr/bin/env python3
+"""Tests for scripts/automation_opportunity_finder.py — 8 tests."""
+
+import json
+import os
+import sys
+import tempfile
+
+sys.path.insert(0, os.path.dirname(__file__) or ".")
+import importlib.util
+spec = importlib.util.spec_from_file_location(
+    "aof",
+    os.path.join(os.path.dirname(__file__) or ".", "automation_opportunity_finder.py"),
+)
+mod = importlib.util.module_from_spec(spec)
+spec.loader.exec_module(mod)
+
+
+def test_analyze_cron_jobs_no_file():
+    """Returns empty list when no cron jobs file exists."""
+    with tempfile.TemporaryDirectory() as tmpdir:
+        result = mod.analyze_cron_jobs(tmpdir)
+        assert result == []
+        print("PASS: test_analyze_cron_jobs_no_file")
+
+
+def test_analyze_cron_jobs_disabled():
+    """Detects disabled cron jobs."""
+    with tempfile.TemporaryDirectory() as tmpdir:
+        cron_dir = os.path.join(tmpdir, "cron")
+        os.makedirs(cron_dir)
+        jobs = [
+            {"id": "j1", "name": "backup", "enabled": False, "schedule": "0 * * * *"},
+            {"id": "j2", "name": "health", "enabled": True, "schedule": "*/5 * * * *"},
+        ]
+        with open(os.path.join(cron_dir, "jobs.json"), "w") as f:
+            json.dump(jobs, f)
+        result = mod.analyze_cron_jobs(tmpdir)
+        assert any(p["category"] == "cron_disabled" for p in result)
+        print("PASS: test_analyze_cron_jobs_disabled")
+
+
+def test_analyze_cron_jobs_errors():
+    """Detects cron jobs with error status."""
+    with tempfile.TemporaryDirectory() as tmpdir:
+        cron_dir = os.path.join(tmpdir, "cron")
+        os.makedirs(cron_dir)
+        jobs = [
+            {"id": "j1", "name": "broken", "enabled": True, "last_status": "error", "schedule": "0 * * * *"},
+        ]
+        with open(os.path.join(cron_dir, "jobs.json"), "w") as f:
+            json.dump(jobs, f)
+        result = mod.analyze_cron_jobs(tmpdir)
+        assert any(p["category"] == "cron_errors" for p in result)
+        print("PASS: test_analyze_cron_jobs_errors")
+
+
+def test_analyze_documents_finds_todos():
+    """Detects TODO markers in documents."""
+    with tempfile.TemporaryDirectory() as tmpdir:
+        docs_dir = os.path.join(tmpdir, "docs")
+        os.makedirs(docs_dir)
+        for i in range(3):
+            with open(os.path.join(docs_dir, f"guide{i}.md"), "w") as f:
+                f.write(f"# Guide {i}\n\nTODO: Automate this step\n")
+        result = mod.analyze_documents([tmpdir])
+        assert any(p["category"] == "manual_todo" for p in result)
+        todo_proposals = [p for p in result if p["category"] == "manual_todo"]
+        assert todo_proposals[0]["details"].__len__() == 3
+        print("PASS: test_analyze_documents_finds_todos")
+
+
+def test_analyze_scripts_repeated_commands():
+    """Detects repeated shell commands across scripts."""
+    with tempfile.TemporaryDirectory() as tmpdir:
+        scripts_dir = os.path.join(tmpdir, "scripts")
+        os.makedirs(scripts_dir)
+        repeated_cmd = "docker restart myapp"
+        for i in range(4):
+            with open(os.path.join(scripts_dir, f"deploy{i}.sh"), "w") as f:
+                f.write(f"#!/bin/bash\n{repeated_cmd}\n")
+        result = mod.analyze_scripts([tmpdir])
+        assert any(p["category"] == "repeated_command" for p in result)
+        print("PASS: test_analyze_scripts_repeated_commands")
+
+
+def test_analyze_session_transcripts():
+    """Detects repeated tool-call sequences."""
+    with tempfile.TemporaryDirectory() as tmpdir:
+        sessions_dir = os.path.join(tmpdir, "sessions")
+        os.makedirs(sessions_dir)
+        for i in range(4):
+            with open(os.path.join(sessions_dir, f"session{i}.jsonl"), "w") as f:
+                f.write(json.dumps({"role": "user", "content": f"task {i}"}) + "\n")
+                f.write(json.dumps({
+                    "role": "assistant",
+                    "content": "working",
+                    "tool_calls": [
+                        {"function": {"name": "read_file"}},
+                        {"function": {"name": "write_file"}},
+                    ]
+                }) + "\n")
+        result = mod.analyze_session_transcripts([sessions_dir])
+        assert any(p["category"] == "tool_sequence" for p in result)
+        seq_proposals = [p for p in result if p["category"] == "tool_sequence"]
+        assert any("read_file" in p["title"] and "write_file" in p["title"] for p in seq_proposals)
+        print("PASS: test_analyze_session_transcripts")
+
+
+def test_deduplicate_proposals():
+    """Deduplicates proposals with similar titles."""
+    proposals = [
+        {"title": "TODO found 3 times", "category": "manual_todo", "confidence": 0.7, "impact": "medium", "description": "x", "sources": []},
+        {"title": "TODO found 3 times", "category": "manual_todo", "confidence": 0.7, "impact": "medium", "description": "x", "sources": []},
+        {"title": "FIXME found 5 times", "category": "manual_fixme", "confidence": 0.8, "impact": "medium", "description": "y", "sources": []},
+    ]
+    result = mod.deduplicate_proposals(proposals)
+    assert len(result) == 2
+    print("PASS: test_deduplicate_proposals")
+
+
+def test_rank_proposals():
+    """Ranks proposals by impact * confidence."""
+    proposals = [
+        {"title": "low", "category": "x", "confidence": 0.9, "impact": "low", "description": "", "sources": []},
+        {"title": "high", "category": "x", "confidence": 0.8, "impact": "high", "description": "", "sources": []},
+        {"title": "med", "category": "x", "confidence": 0.7, "impact": "medium", "description": "", "sources": []},
+    ]
+    result = mod.rank_proposals(proposals)
+    assert result[0]["title"] == "high"
+    assert result[-1]["title"] == "low"
+    print("PASS: test_rank_proposals")
+
+
+if __name__ == "__main__":
+    tests = [v for k, v in globals().items() if k.startswith("test_")]
+    passed = 0
+    failed = 0
+    for t in tests:
+        try:
+            t()
+            passed += 1
+        except Exception as e:
+            print(f"FAIL: {t.__name__}: {e}")
+            failed += 1
+    print(f"\n{passed}/{passed+failed} tests passed")
+    sys.exit(1 if failed else 0)

scripts/test_harvest_prompt_comprehensive.py

@@ -0,0 +1,212 @@
+#!/usr/bin/env python3
+"""
+Comprehensive test script for knowledge extraction prompt.
+Validates prompt structure, requirements, and consistency.
+"""
+
+import json
+import re
+from pathlib import Path
+
+def test_prompt_structure():
+    """Test that the prompt has the required structure."""
+    prompt_path = Path("templates/harvest-prompt.md")
+    if not prompt_path.exists():
+        return False, "harvest-prompt.md not found"
+    
+    content = prompt_path.read_text()
+    
+    # Check for required sections
+    required_sections = [
+        "System Prompt",
+        "Instructions", 
+        "Categories",
+        "Output Format",
+        "Confidence Scoring",
+        "Constraints",
+        "Example"
+    ]
+    
+    for section in required_sections:
+        if section.lower() not in content.lower():
+            return False, f"Missing required section: {section}"
+    
+    # Check for required categories
+    required_categories = ["fact", "pitfall", "pattern", "tool-quirk", "question"]
+    for category in required_categories:
+        if category not in content:
+            return False, f"Missing required category: {category}"
+    
+    # Check for required output fields
+    required_fields = ["fact", "category", "repo", "confidence"]
+    for field in required_fields:
+        if field not in content:
+            return False, f"Missing required output field: {field}"
+    
+    # Check prompt size (should be ~1k tokens, roughly 4k chars)
+    if len(content) > 5000:
+        return False, f"Prompt too large: {len(content)} chars (max ~5000)"
+    
+    if len(content) < 1000:
+        return False, f"Prompt too small: {len(content)} chars (min ~1000)"
+    
+    return True, "Prompt structure is valid"
+
+def test_confidence_scoring():
+    """Test that confidence scoring is properly defined."""
+    prompt_path = Path("templates/harvest-prompt.md")
+    content = prompt_path.read_text()
+    
+    # Check for confidence scale definitions
+    confidence_levels = [
+        ("0.9-1.0", "explicitly stated"),
+        ("0.7-0.8", "clearly implied"),
+        ("0.5-0.6", "suggested"),
+        ("0.3-0.4", "inferred"),
+        ("0.1-0.2", "speculative")
+    ]
+    
+    for level, description in confidence_levels:
+        if level not in content:
+            return False, f"Missing confidence level: {level}"
+        if description.lower() not in content.lower():
+            return False, f"Missing confidence description: {description}"
+    
+    return True, "Confidence scoring is properly defined"
+
+def test_example_quality():
+    """Test that examples are clear and complete."""
+    prompt_path = Path("templates/harvest-prompt.md")
+    content = prompt_path.read_text()
+    
+    # Check for example input/output
+    if "example" not in content.lower():
+        return False, "No examples provided"
+    
+    # Check that example includes all categories
+    example_section = content[content.lower().find("example"):]
+    
+    # Look for JSON example
+    json_match = re.search(r'\{[\s\S]*"knowledge"[\s\S]*\}', example_section)
+    if not json_match:
+        return False, "No JSON example found"
+    
+    example_json = json_match.group(0)
+    
+    # Check for all categories in example
+    for category in ["fact", "pitfall", "pattern", "tool-quirk", "question"]:
+        if category not in example_json:
+            return False, f"Example missing category: {category}"
+    
+    return True, "Examples are clear and complete"
+
+def test_constraint_coverage():
+    """Test that constraints cover all requirements."""
+    prompt_path = Path("templates/harvest-prompt.md")
+    content = prompt_path.read_text()
+    
+    required_constraints = [
+        "No hallucination",
+        "only extract",
+        "explicitly",
+        "partial",
+        "failed sessions",
+        "1k tokens"
+    ]
+    
+    for constraint in required_constraints:
+        if constraint.lower() not in content.lower():
+            return False, f"Missing constraint: {constraint}"
+    
+    return True, "Constraints cover all requirements"
+
+def test_test_sessions():
+    """Test that test sessions exist and are valid."""
+    test_sessions_dir = Path("test_sessions")
+    if not test_sessions_dir.exists():
+        return False, "test_sessions directory not found"
+    
+    session_files = list(test_sessions_dir.glob("*.jsonl"))
+    if len(session_files) < 5:
+        return False, f"Only {len(session_files)} test sessions found, need 5"
+    
+    # Check each session file
+    for session_file in session_files:
+        content = session_file.read_text()
+        lines = content.strip().split("\n")
+        
+        # Check that each line is valid JSON
+        for i, line in enumerate(lines, 1):
+            try:
+                json.loads(line)
+            except json.JSONDecodeError as e:
+                return False, f"Invalid JSON in {session_file.name}, line {i}: {e}"
+    
+    return True, f"Found {len(session_files)} valid test sessions"
+
+def run_all_tests():
+    """Run all tests and return results."""
+    tests = [
+        ("Prompt Structure", test_prompt_structure),
+        ("Confidence Scoring", test_confidence_scoring),
+        ("Example Quality", test_example_quality),
+        ("Constraint Coverage", test_constraint_coverage),
+        ("Test Sessions", test_test_sessions)
+    ]
+    
+    results = []
+    all_passed = True
+    
+    for test_name, test_func in tests:
+        try:
+            passed, message = test_func()
+            results.append({
+                "test": test_name,
+                "passed": passed,
+                "message": message
+            })
+            if not passed:
+                all_passed = False
+        except Exception as e:
+            results.append({
+                "test": test_name,
+                "passed": False,
+                "message": f"Error: {str(e)}"
+            })
+            all_passed = False
+    
+    # Print results
+    print("=" * 60)
+    print("HARVEST PROMPT TEST RESULTS")
+    print("=" * 60)
+    
+    for result in results:
+        status = "✓ PASS" if result["passed"] else "✗ FAIL"
+        print(f"{status}: {result['test']}")
+        print(f"  {result['message']}")
+        print()
+    
+    print("=" * 60)
+    if all_passed:
+        print("ALL TESTS PASSED!")
+    else:
+        print("SOME TESTS FAILED!")
+    print("=" * 60)
+    
+    return all_passed, results
+
+if __name__ == "__main__":
+    all_passed, results = run_all_tests()
+    
+    # Save results to file
+    with open("test_results.json", "w") as f:
+        json.dump({
+            "all_passed": all_passed,
+            "results": results,
+            "timestamp": "2026-04-14T19:05:00Z"
+        }, f, indent=2)
+    
+    print(f"Results saved to test_results.json")
+    
+    # Exit with appropriate code
+    exit(0 if all_passed else 1)

scripts/test_knowledge_staleness.py

@@ -0,0 +1,129 @@
+#!/usr/bin/env python3
+"""Tests for scripts/knowledge_staleness_check.py — 8 tests."""
+
+import json
+import os
+import sys
+import tempfile
+
+sys.path.insert(0, os.path.dirname(__file__) or ".")
+import importlib.util
+spec = importlib.util.spec_from_file_location("ks", os.path.join(os.path.dirname(__file__) or ".", "knowledge_staleness_check.py"))
+mod = importlib.util.module_from_spec(spec)
+spec.loader.exec_module(mod)
+check_staleness = mod.check_staleness
+fix_hashes = mod.fix_hashes
+compute_file_hash = mod.compute_file_hash
+
+
+def test_fresh_entry():
+    with tempfile.TemporaryDirectory() as tmpdir:
+        src = os.path.join(tmpdir, "source.py")
+        with open(src, "w") as f:
+            f.write("print('hello')")
+        h = compute_file_hash(src)
+        idx = os.path.join(tmpdir, "index.json")
+        with open(idx, "w") as f:
+            json.dump({"facts": [{"fact": "hello", "source_file": "source.py", "source_hash": h}]}, f)
+        results = check_staleness(idx, tmpdir)
+        assert results[0]["status"] == "fresh"
+        print("PASS: test_fresh_entry")
+
+
+def test_stale_entry():
+    with tempfile.TemporaryDirectory() as tmpdir:
+        src = os.path.join(tmpdir, "source.py")
+        with open(src, "w") as f:
+            f.write("original content")
+        idx = os.path.join(tmpdir, "index.json")
+        with open(idx, "w") as f:
+            json.dump({"facts": [{"fact": "old", "source_file": "source.py", "source_hash": "sha256:wrong"}]}, f)
+        # Now change the source
+        with open(src, "w") as f:
+            f.write("modified content")
+        results = check_staleness(idx, tmpdir)
+        assert results[0]["status"] == "stale"
+        print("PASS: test_stale_entry")
+
+
+def test_missing_source():
+    with tempfile.TemporaryDirectory() as tmpdir:
+        idx = os.path.join(tmpdir, "index.json")
+        with open(idx, "w") as f:
+            json.dump({"facts": [{"fact": "gone", "source_file": "nonexistent.py", "source_hash": "sha256:abc"}]}, f)
+        results = check_staleness(idx, tmpdir)
+        assert results[0]["status"] == "missing_source"
+        print("PASS: test_missing_source")
+
+
+def test_no_hash():
+    with tempfile.TemporaryDirectory() as tmpdir:
+        src = os.path.join(tmpdir, "source.py")
+        with open(src, "w") as f:
+            f.write("content")
+        idx = os.path.join(tmpdir, "index.json")
+        with open(idx, "w") as f:
+            json.dump({"facts": [{"fact": "no hash", "source_file": "source.py"}]}, f)
+        results = check_staleness(idx, tmpdir)
+        assert results[0]["status"] == "no_hash"
+        assert results[0]["current_hash"].startswith("sha256:")
+        print("PASS: test_no_hash")
+
+
+def test_no_source_field():
+    with tempfile.TemporaryDirectory() as tmpdir:
+        idx = os.path.join(tmpdir, "index.json")
+        with open(idx, "w") as f:
+            json.dump({"facts": [{"fact": "orphan"}]}, f)
+        results = check_staleness(idx, tmpdir)
+        assert results[0]["status"] == "no_source"
+        print("PASS: test_no_source_field")
+
+
+def test_fix_hashes():
+    with tempfile.TemporaryDirectory() as tmpdir:
+        src = os.path.join(tmpdir, "source.py")
+        with open(src, "w") as f:
+            f.write("content for hashing")
+        idx = os.path.join(tmpdir, "index.json")
+        with open(idx, "w") as f:
+            json.dump({"facts": [{"fact": "needs hash", "source_file": "source.py"}]}, f)
+        fixed = fix_hashes(idx, tmpdir)
+        assert fixed == 1
+        # Verify hash was added
+        with open(idx) as f:
+            data = json.load(f)
+        assert data["facts"][0]["source_hash"].startswith("sha256:")
+        print("PASS: test_fix_hashes")
+
+
+def test_empty_index():
+    with tempfile.TemporaryDirectory() as tmpdir:
+        idx = os.path.join(tmpdir, "index.json")
+        with open(idx, "w") as f:
+            json.dump({"facts": []}, f)
+        results = check_staleness(idx, tmpdir)
+        assert results == []
+        print("PASS: test_empty_index")
+
+
+def test_compute_hash_nonexistent():
+    h = compute_file_hash("/nonexistent/path/file.py")
+    assert h is None
+    print("PASS: test_compute_hash_nonexistent")
+
+
+def run_all():
+    test_fresh_entry()
+    test_stale_entry()
+    test_missing_source()
+    test_no_hash()
+    test_no_source_field()
+    test_fix_hashes()
+    test_empty_index()
+    test_compute_hash_nonexistent()
+    print("\nAll 8 tests passed!")
+
+
+if __name__ == "__main__":
+    run_all()

test_sessions/session_failure.jsonl

@@ -0,0 +1,18 @@
+{"role": "user", "content": "Deploy the application to production"}
+{"role": "assistant", "content": "I'll deploy the application to production.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ssh deploy@prod-server 'cd /app && git pull && docker-compose up -d'"}}]}
+{"role": "tool", "content": "ssh: connect to host prod-server port 22: Connection refused"}
+{"role": "assistant", "content": "Connection refused. Let me check the server status.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ping -c 3 prod-server"}}]}
+{"role": "tool", "content": "PING prod-server (192.168.1.100): 56 data bytes\nRequest timeout for icmp_seq 0\nRequest timeout for icmp_seq 1\nRequest timeout for icmp_seq 2\n--- prod-server ping statistics ---\n3 packets transmitted, 0 packets received, 100.0% packet loss"}
+{"role": "assistant", "content": "The server appears to be down. Let me check if there's an alternative deployment method."}
+{"role": "user", "content": "Try using the VPS instead"}
+{"role": "assistant", "content": "I'll try deploying to the VPS.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ssh deploy@vps-server 'cd /app && git pull && docker-compose up -d'"}}]}
+{"role": "tool", "content": "Permission denied (publickey)."}
+{"role": "assistant", "content": "Permission denied. The SSH key might not be set up correctly. Let me check the SSH configuration.", "tool_calls": [{"function": "terminal", "arguments": {"command": "cat ~/.ssh/config"}}]}
+{"role": "tool", "content": "Host vps-server\n    HostName 167.99.126.228\n    User deploy\n    IdentityFile ~/.ssh/id_rsa_vps"}
+{"role": "assistant", "content": "The SSH config looks correct. Let me check if the key exists.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ls -la ~/.ssh/id_rsa_vps"}}]}
+{"role": "tool", "content": "ls: /Users/user/.ssh/id_rsa_vps: No such file or directory"}
+{"role": "assistant", "content": "The SSH key doesn't exist. This is a pitfall - we need to generate the SSH key first."}
+{"role": "user", "content": "Generate a new SSH key for the VPS"}
+{"role": "assistant", "content": "I'll generate a new SSH key.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ssh-keygen -t rsa -b 4096 -f ~/.ssh/id_rsa_vps -N ''"}}]}
+{"role": "tool", "content": "Generating public/private rsa key pair.\nYour identification has been saved in /Users/user/.ssh/id_rsa_vps\nYour public key has been saved in /Users/user/.ssh/id_rsa_vps.pub\nThe key fingerprint is:\nSHA256:abc123... user@machine"}
+{"role": "assistant", "content": "SSH key generated. Now I need to add it to the VPS."}

test_sessions/session_partial.jsonl

@@ -0,0 +1,14 @@
+{"role": "user", "content": "Check the Gitea API for open issues"}
+{"role": "assistant", "content": "I'll check the Gitea API for open issues.", "tool_calls": [{"function": "terminal", "arguments": {"command": "curl -H 'Authorization: token $GITEA_TOKEN' https://forge.alexanderwhitestone.com/api/v1/repos/Timmy_Foundation/compounding-intelligence/issues?state=open"}}]}
+{"role": "tool", "content": "curl: (6) Could not resolve host: forge.alexanderwhitestone.com"}
+{"role": "assistant", "content": "DNS resolution failed. Let me check the network connectivity.", "tool_calls": [{"function": "terminal", "arguments": {"command": "nslookup forge.alexanderwhitestone.com"}}]}
+{"role": "tool", "content": "Server:		8.8.8.8\nAddress:	8.8.8.8#53\n\n** server can't find forge.alexanderwhitestone.com: NXDOMAIN"}
+{"role": "assistant", "content": "The domain doesn't resolve. This might be a DNS issue. Let me try using the IP address directly.", "tool_calls": [{"function": "terminal", "arguments": {"command": "curl -H 'Authorization: token $GITEA_TOKEN' https://167.99.126.228/api/v1/repos/Timmy_Foundation/compounding-intelligence/issues?state=open"}}]}
+{"role": "tool", "content": "curl: (60) SSL certificate problem: self signed certificate"}
+{"role": "assistant", "content": "SSL certificate issue. The server is using a self-signed certificate. Let me try with -k flag to skip SSL verification.", "tool_calls": [{"function": "terminal", "arguments": {"command": "curl -k -H 'Authorization: token $GITEA_TOKEN' https://167.99.126.228/api/v1/repos/Timmy_Foundation/compounding-intelligence/issues?state=open"}}]}
+{"role": "tool", "content": "[]"}
+{"role": "assistant", "content": "No open issues found. The API returned an empty array."}
+{"role": "user", "content": "Check if there are any pull requests"}
+{"role": "assistant", "content": "Let me check for pull requests.", "tool_calls": [{"function": "terminal", "arguments": {"command": "curl -k -H 'Authorization: token $GITEA_TOKEN' https://167.99.126.228/api/v1/repos/Timmy_Foundation/compounding-intelligence/pulls?state=open"}}]}
+{"role": "tool", "content": "[{"id": 20, "title": "feat: add harvester.py + session_reader.py — session knowledge extractor (closes #8)", "state": "open", "user": {"login": "Rockachopa"}, "created_at": "2026-04-14T17:28:20Z"}]"}
+{"role": "assistant", "content": "Found 1 open pull request: PR #20 - "feat: add harvester.py + session_reader.py — session knowledge extractor (closes #8)" by Rockachopa."}

test_sessions/session_patterns.jsonl

@@ -0,0 +1,10 @@
+{"role": "user", "content": "How do I deploy a new version of the application?"}
+{"role": "assistant", "content": "Here's the deployment process:\n1. Run tests: pytest\n2. Build Docker image: docker build -t app:latest .\n3. Push to registry: docker push registry.example.com/app:latest\n4. Update production: ssh prod 'cd /app && docker-compose pull && docker-compose up -d'\n5. Verify: curl https://app.example.com/health"}
+{"role": "user", "content": "What if tests fail?"}
+{"role": "assistant", "content": "If tests fail:\n1. Check the error logs: pytest -v\n2. Fix the failing tests\n3. Re-run tests: pytest\n4. If still failing, check recent changes: git log --oneline -10\n5. Consider reverting: git revert HEAD"}
+{"role": "user", "content": "What if the Docker build fails?"}
+{"role": "assistant", "content": "If Docker build fails:\n1. Check Dockerfile syntax: docker build --no-cache -t app:latest .\n2. Check for missing dependencies: cat requirements.txt\n3. Check disk space: df -h\n4. Clean up Docker: docker system prune -f\n5. Try building with verbose output: docker build --progress=plain -t app:latest ."}
+{"role": "user", "content": "What if the push to registry fails?"}
+{"role": "assistant", "content": "If push to registry fails:\n1. Check registry credentials: docker login registry.example.com\n2. Check registry space: curl https://registry.example.com/v2/_catalog\n3. Check image size: docker images app:latest\n4. Try tagging with version: docker tag app:latest registry.example.com/app:v1.0.0\n5. Push with version tag: docker push registry.example.com/app:v1.0.0"}
+{"role": "user", "content": "What if the production update fails?"}
+{"role": "assistant", "content": "If production update fails:\n1. Check SSH connection: ssh prod 'echo connected'\n2. Check disk space on prod: ssh prod 'df -h'\n3. Check Docker status: ssh prod 'docker ps -a'\n4. Check logs: ssh prod 'docker-compose logs --tail=100'\n5. Rollback: ssh prod 'cd /app && git checkout HEAD~1 && docker-compose up -d'"}

test_sessions/session_questions.jsonl

@@ -0,0 +1,12 @@
+{"role": "user", "content": "I need to implement a new feature for the application"}
+{"role": "assistant", "content": "I can help you implement a new feature. What feature would you like to add?"}
+{"role": "user", "content": "I want to add user authentication"}
+{"role": "assistant", "content": "User authentication is a good feature. I have a few questions:\n1. What authentication method do you prefer? (JWT, OAuth, Session-based)\n2. Do you need social login? (Google, GitHub, etc.)\n3. What user data do you need to store?\n4. Do you need role-based access control?\n5. What's your database? (PostgreSQL, MySQL, SQLite)"}
+{"role": "user", "content": "I prefer JWT, no social login, just email and password, no roles, PostgreSQL"}
+{"role": "assistant", "content": "Great choices. Here's the implementation plan:\n1. Create user model with email and password hash\n2. Create JWT token generation and validation\n3. Create login endpoint: POST /api/auth/login\n4. Create register endpoint: POST /api/auth/register\n5. Create middleware for protected routes\n6. Add password hashing with bcrypt\n7. Add rate limiting for login attempts\n8. Add password reset functionality\n9. Add email verification\n10. Test all endpoints"}
+{"role": "user", "content": "What about password reset?"}
+{"role": "assistant", "content": "For password reset:\n1. Create reset token table\n2. Create forgot password endpoint: POST /api/auth/forgot-password\n3. Send reset email with token\n4. Create reset password endpoint: POST /api/auth/reset-password\n5. Validate reset token and expiration\n6. Update password and delete token\n7. Send confirmation email"}
+{"role": "user", "content": "What about email verification?"}
+{"role": "assistant", "content": "For email verification:\n1. Add email_verified field to user model\n2. Create verification token table\n3. Send verification email on registration\n4. Create verify email endpoint: GET /api/auth/verify-email?token=...\n5. Validate token and update email_verified\n6. Add middleware to check email_verified for certain routes\n7. Add resend verification email endpoint"}
+{"role": "user", "content": "What about rate limiting?"}
+{"role": "assistant", "content": "For rate limiting:\n1. Use Redis for rate limit storage\n2. Create rate limit middleware\n3. Set limits: 5 login attempts per minute, 3 password resets per hour\n4. Return 429 Too Many Requests when limit exceeded\n5. Add X-RateLimit headers to responses\n6. Log rate limit violations\n7. Add whitelist for trusted IPs"}

test_sessions/session_success.jsonl

@@ -0,0 +1,13 @@
+{"role": "user", "content": "Clone the repo at forge.alexanderwhitestone.com/Timmy_Foundation/compounding-intelligence"}
+{"role": "assistant", "content": "I'll clone the repository for you.", "tool_calls": [{"function": "terminal", "arguments": {"command": "git clone https://forge.alexanderwhitestone.com/Timmy_Foundation/compounding-intelligence.git"}}]}
+{"role": "tool", "content": "Cloning into 'compounding-intelligence'...\nremote: Enumerating objects: 15, done.\nremote: Counting objects: 100% (15/15), done.\nremote: Compressing objects: 100% (12/12), done.\nremote: Total 15 (delta 2), reused 0 (delta 0), pack-reused 0\nReceiving objects: 100% (15/15), done.\nResolving deltas: 100% (2/2), done."}
+{"role": "assistant", "content": "Repository cloned successfully. Let me check the structure.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ls -la compounding-intelligence/"}}]}
+{"role": "tool", "content": "total 8\ndrwxr-xr-x   5 user  staff  160 Apr 14 17:21 .\ndrwxr-xr-x  12 user  staff  384 Apr 14 17:21 ..\ndrwxr-xr-x  13 user  staff  416 Apr 14 17:21 .git\n-rw-r--r--   1 user  staff  1234 Apr 14 17:21 README.md\ndrwxr-xr-x   3 user  staff   96 Apr 14 17:21 knowledge\n-rw-r--r--   1 user  staff   456 Apr 14 17:21 metrics\ndrwxr-xr-x   4 user  staff  128 Apr 14 17:21 scripts\ndrwxr-xr-x   3 user  staff   96 Apr 14 17:21 templates"}
+{"role": "user", "content": "What files are in the templates directory?"}
+{"role": "assistant", "content": "Let me check the templates directory.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ls -la compounding-intelligence/templates/"}}]}
+{"role": "tool", "content": "total 0\ndrwxr-xr-x  3 user  staff   96 Apr 14 17:21 .\ndrwxr-xr-x  5 user  staff  160 Apr 14 17:21 ..\n-rw-r--r--  1 user  staff    0 Apr 14 17:21 .gitkeep"}
+{"role": "assistant", "content": "The templates directory currently only contains a .gitkeep file. No templates have been added yet."}
+{"role": "user", "content": "Create a harvest-prompt.md template in the templates directory."}
+{"role": "assistant", "content": "I'll create the harvest-prompt.md template for you.", "tool_calls": [{"function": "terminal", "arguments": {"command": "cat > compounding-intelligence/templates/harvest-prompt.md << 'EOF'\n# Knowledge Extraction Prompt\n\nExtract knowledge from session transcripts.\nEOF"}}]}
+{"role": "tool", "content": ""}
+{"role": "assistant", "content": "Template created successfully. The harvest-prompt.md file is now in the templates directory."}