Add Codex Desktop transcript harvesting

README.md

@@ -70,7 +70,7 @@ Dreams** (offline consolidation; review-then-adopt), and the **agent sleep**
 idea (short-term experience → long-term competence). One "night":
 
 ```
-harvest session transcripts → mine recurring tasks → replay offline
+harvest Claude Code / Codex Desktop transcripts → mine recurring tasks → replay offline
    → consolidate (reflect → bounded edit → GATE on real held-out tasks)
    → stage proposal → (you) adopt
 ```
@@ -99,6 +99,11 @@ positive, and the gate blocks regressions
 
 Deterministic proof (no API key): `python -m skillopt_sleep.experiments.run_experiment --persona researcher --assert-improves`.
 
+For local sleep cycles, transcript source and replay backend are separate knobs:
+use `--source claude` for Claude Code transcripts, `--source codex` for Codex
+Desktop archived sessions under `~/.codex/archived_sessions`, and
+`--backend codex` only when you want the replay/optimizer to spend Codex budget.
+
 ---
 
 ## Extensibility & WebUI

docs/sleep/CONTROLLABLE_DREAMING.md

@@ -4,6 +4,23 @@ The sleep engine is no longer a single fixed pipeline. It is a controllable
 offline "dream / imagination" loop the user steers. This documents the knobs
 added in the four-stage refactor and how they map to the user's design.
 
+## Transcript sources
+
+Sleep separates the source of past sessions from the backend used to replay and
+optimize tasks:
+
+```bash
+python -m skillopt_sleep dry-run --project "$(pwd)" --source claude --backend mock
+python -m skillopt_sleep dry-run --project "$(pwd)" --source codex --backend mock
+python -m skillopt_sleep run --project "$(pwd)" --source codex --backend codex
+```
+
+`--source claude` reads Claude Code transcripts from `~/.claude/projects`.
+`--source codex` reads Codex Desktop archives from
+`~/.codex/archived_sessions`. `--source auto` tries Codex archives first, then
+falls back to Claude Code transcripts. Use `--codex-home /path/to/.codex` or
+`--claude-home /path/to/.claude` to point at non-default homes.
+
 ## The mental model
 
 > Sleep = an offline imagination rollout. Re-run the user's real

plugins/codex/README.md

@@ -48,13 +48,18 @@ Use the skillopt-sleep skill to adopt the latest staged proposal.
 Or call the engine directly:
 
 ```bash
-python -m skillopt_sleep run --project "$(pwd)" --backend codex
+python -m skillopt_sleep dry-run --project "$(pwd)" --source codex --backend mock
+python -m skillopt_sleep run --project "$(pwd)" --source codex --backend codex
 ```
 
-Default backend is `mock` (no API spend). `--backend codex` uses your Codex
+`--source codex` reads Codex Desktop archived sessions from
-budget for real improvement. All the controllable knobs (`--gate on|off`,
+`~/.codex/archived_sessions`. Use `--codex-home /path/to/.codex` to point at a
-`--rollouts-k`, `--budget-tokens`, `--preferences`, optimizer/target split) work
+different Codex home, or `--source auto` to try Codex archives first and fall
-identically — see [`../../docs/sleep/CONTROLLABLE_DREAMING.md`](../../docs/sleep/CONTROLLABLE_DREAMING.md).
+back to Claude Code transcripts. Default backend is `mock` (no API spend).
+`--backend codex` uses your Codex budget for real improvement. All the
+controllable knobs (`--gate on|off`, `--rollouts-k`, `--budget-tokens`,
+`--preferences`, optimizer/target split) work identically — see
+[`../../docs/sleep/CONTROLLABLE_DREAMING.md`](../../docs/sleep/CONTROLLABLE_DREAMING.md).
 
 ## Notes / status
 

plugins/codex/skills/skillopt-sleep/SKILL.md

@@ -44,11 +44,11 @@ finds the engine and a Python >= 3.10 automatically.
 ```bash
 # point at the repo if it isn't auto-detected from CWD:
 export SKILLOPT_SLEEP_REPO=/path/to/SkillOpt-Sleep
-
 bash "$SKILLOPT_SLEEP_REPO/plugins/run-sleep.sh" status --project "$(pwd)"
 bash "$SKILLOPT_SLEEP_REPO/plugins/run-sleep.sh" harvest --project "$(pwd)"
 bash "$SKILLOPT_SLEEP_REPO/plugins/run-sleep.sh" dry-run --project "$(pwd)" --backend mock
 bash "$SKILLOPT_SLEEP_REPO/plugins/run-sleep.sh" run --project "$(pwd)" --backend codex
+bash "$SKILLOPT_SLEEP_REPO/plugins/run-sleep.sh" run --project "$(pwd)" --source codex  # harvest from Codex Desktop
 bash "$SKILLOPT_SLEEP_REPO/plugins/run-sleep.sh" adopt --project "$(pwd)"
 ```
 
@@ -56,6 +56,8 @@ Actions are `status`, `harvest`, `dry-run`, `run`, and `adopt`.
 
 - Default backend is `mock`, which is deterministic and spends no API budget.
 - `--backend codex` uses the user's Codex budget for real improvement.
+- `--source codex` reads Codex Desktop archived sessions from `~/.codex/archived_sessions`;
+  use `--codex-home /path/to/.codex` if the archive lives elsewhere.
 - Keep `dry-run --backend mock` as the first smoke check unless the user
   explicitly asked for a real optimization run.
 

skillopt_sleep/__main__.py

@@ -9,7 +9,8 @@
 Common flags:
     --project PATH      project to evolve (default: cwd)
     --scope all|invoked harvest scope (default: invoked)
-    --backend mock|anthropic
+    --backend mock|claude|codex
+    --source claude|codex|auto
     --model NAME
     --lookback-hours N
     --auto-adopt
@@ -25,10 +26,11 @@ from typing import Any, Dict
 
 from skillopt_sleep.config import load_config
 from skillopt_sleep.cycle import run_sleep_cycle
-from skillopt_sleep.harvest import harvest
+from skillopt_sleep.harvest_sources import harvest_for_config
 from skillopt_sleep.mine import mine
+from skillopt_sleep.staging import adopt as adopt_staging
+from skillopt_sleep.staging import latest_staging
 from skillopt_sleep.state import SleepState
-from skillopt_sleep.staging import latest_staging, adopt as adopt_staging
 
 
 def _add_common(p: argparse.ArgumentParser) -> None:
@@ -38,6 +40,9 @@ def _add_common(p: argparse.ArgumentParser) -> None:
     p.add_argument("--model", default="")
     p.add_argument("--codex-path", default="", help="path to the real @openai/codex binary")
     p.add_argument("--claude-home", default="", help="override ~/.claude (also isolates state)")
+    p.add_argument("--codex-home", default="", help="override ~/.codex for archived session harvest")
+    p.add_argument("--source", default="", choices=["", "claude", "codex", "auto"],
+                   help="session transcript source")
     p.add_argument("--lookback-hours", type=int, default=0)
     p.add_argument("--edit-budget", type=int, default=0)
     p.add_argument("--auto-adopt", action="store_true")
@@ -59,6 +64,10 @@ def _cfg_from_args(args) -> Any:
         overrides["codex_path"] = os.path.abspath(args.codex_path)
     if getattr(args, "claude_home", ""):
         overrides["claude_home"] = os.path.abspath(args.claude_home)
+    if getattr(args, "codex_home", ""):
+        overrides["codex_home"] = os.path.abspath(args.codex_home)
+    if getattr(args, "source", ""):
+        overrides["transcript_source"] = args.source
     if getattr(args, "lookback_hours", 0):
         overrides["lookback_hours"] = args.lookback_hours
     if getattr(args, "edit_budget", 0):
@@ -143,12 +152,7 @@ def cmd_adopt(args) -> int:
 
 def cmd_harvest(args) -> int:
     cfg = _cfg_from_args(args)
-    digests = harvest(
+    digests = harvest_for_config(cfg, limit=cfg.get("max_tasks_per_night", 40) * 3)
-        cfg.transcripts_dir,
-        scope=cfg.get("projects", "invoked"),
-        invoked_project=cfg.get("invoked_project", ""),
-        limit=cfg.get("max_tasks_per_night", 40) * 3,
-    )
     tasks = mine(digests, max_tasks=cfg.get("max_tasks_per_night", 40),
                  holdout_fraction=cfg.get("holdout_fraction", 0.34), seed=cfg.get("seed", 42))
     if args.json:

skillopt_sleep/config.py

@@ -13,17 +13,19 @@ from __future__ import annotations
 
 import json
 import os
-from dataclasses import dataclass, field, asdict
+from dataclasses import dataclass, field
-from typing import Any, Dict, List, Optional
+from typing import Any, Dict, Optional
-
 
 HOME_STATE_DIR = os.path.expanduser("~/.skillopt-sleep")
 CLAUDE_HOME = os.path.expanduser("~/.claude")
+CODEX_HOME = os.path.expanduser("~/.codex")
 
 
 DEFAULTS: Dict[str, Any] = {
     # ── scope ──────────────────────────────────────────────────────────────
     "claude_home": CLAUDE_HOME,
+    "codex_home": CODEX_HOME,
+    "transcript_source": "claude",  # "claude" | "codex" | "auto"
     "projects": "invoked",        # "invoked" | "all" | [list of abs paths]
     "invoked_project": "",        # filled at runtime (cwd) when projects == "invoked"
     "lookback_hours": 72,         # harvest window when no prior sleep recorded
@@ -94,6 +96,10 @@ class SleepConfig:
     def transcripts_dir(self) -> str:
         return os.path.join(self.data["claude_home"], "projects")
 
+    @property
+    def codex_archived_sessions_dir(self) -> str:
+        return os.path.join(self.data["codex_home"], "archived_sessions")
+
     @property
     def history_path(self) -> str:
         return os.path.join(self.data["claude_home"], "history.jsonl")

skillopt_sleep/cycle.py

@@ -10,18 +10,18 @@ CI use. With backend="anthropic" it spends the user's budget for real lift.
 from __future__ import annotations
 
 import os
-import time
 from dataclasses import dataclass
-from typing import Any, Dict, List, Optional
+from typing import List, Optional
 
 from skillopt_sleep.backend import get_backend
 from skillopt_sleep.config import SleepConfig, load_config
 from skillopt_sleep.consolidate import consolidate
-from skillopt_sleep.harvest import harvest
+from skillopt_sleep.harvest_sources import harvest_for_config
 from skillopt_sleep.memory import ensure_skill_scaffold
 from skillopt_sleep.mine import mine
+from skillopt_sleep.staging import adopt as adopt_staging
+from skillopt_sleep.staging import write_staging
 from skillopt_sleep.state import SleepState, _now_iso
-from skillopt_sleep.staging import write_staging, adopt as adopt_staging
 from skillopt_sleep.types import SessionDigest, SleepReport, TaskRecord
 
 
@@ -117,10 +117,8 @@ def run_sleep_cycle(
         n_sessions = 0
     else:
         since = state.last_harvest_for(project)
-        digests = harvest(
+        digests = harvest_for_config(
-            cfg.transcripts_dir,
+            cfg,
-            scope=cfg.get("projects", "invoked"),
-            invoked_project=cfg.get("invoked_project", ""),
             since_iso=since,
             limit=cfg.get("max_tasks_per_night", 40) * 3,
         )
@@ -151,7 +149,7 @@ def run_sleep_cycle(
     if not skill:
         skill = ensure_skill_scaffold(
             "", name=cfg.get("managed_skill_name", "skillopt-sleep-learned"),
-            description="Preferences and procedures learned from past Claude Code sessions.",
+            description="Preferences and procedures learned from past local agent sessions.",
         )
 
     report = SleepReport(

skillopt_sleep/harvest_codex.py

@@ -0,0 +1,253 @@
+"""SkillOpt-Sleep Codex Desktop session harvesting.
+
+Reads Codex Desktop archived session JSONL files and normalizes them into
+``SessionDigest`` records without copying developer/system instructions, tool
+arguments, or raw tool outputs.
+"""
+from __future__ import annotations
+
+import os
+import re
+from typing import Any, Dict, Iterable, List, Optional
+
+from skillopt_sleep.harvest import (
+    _detect_feedback,
+    _is_meta_prompt,
+    _iter_jsonl,
+    _project_matches,
+)
+from skillopt_sleep.types import SessionDigest
+
+_SECRET_PATTERNS: tuple[tuple[re.Pattern[str], str], ...] = (
+    (re.compile(r"sk-[A-Za-z0-9_-]{10,}"), "[REDACTED_OPENAI_KEY]"),
+    (re.compile(r"(?i)(Authorization:\s*Bearer\s+)[^\s\"']+"), r"\1[REDACTED]"),
+    (re.compile(r"(?i)(Authorization:\s*Basic\s+)[^\s\"']+"), r"\1[REDACTED]"),
+    (
+        re.compile(r"(?i)\b(api[_-]?key|token|password|secret)\b(\s*[:=]\s*)[^\s\"']+"),
+        r"\1\2[REDACTED]",
+    ),
+    (
+        re.compile(r"(?i)\b(api[_-]?key|token|password|secret)\b(\s+)[^\s\"']+"),
+        r"\1\2[REDACTED]",
+    ),
+    (
+        re.compile(
+            r"-----BEGIN [A-Z ]*PRIVATE KEY-----.*?-----END [A-Z ]*PRIVATE KEY-----",
+            re.DOTALL,
+        ),
+        "[REDACTED_PRIVATE_KEY]",
+    ),
+)
+
+
+def _payload(rec: Dict[str, Any]) -> Dict[str, Any]:
+    payload = rec.get("payload")
+    return payload if isinstance(payload, dict) else {}
+
+
+def _timestamp(rec: Dict[str, Any], payload: Dict[str, Any]) -> str:
+    for value in (
+        payload.get("timestamp"),
+        rec.get("timestamp"),
+        payload.get("started_at"),
+        payload.get("completed_at"),
+    ):
+        if isinstance(value, str) and value:
+            return value
+    return ""
+
+
+def _text_from_any(content: Any) -> str:
+    if isinstance(content, str):
+        return content
+    if isinstance(content, list):
+        parts: List[str] = []
+        for item in content:
+            if isinstance(item, str):
+                parts.append(item)
+            elif isinstance(item, dict):
+                if item.get("type") == "text" and item.get("text"):
+                    parts.append(str(item["text"]))
+                elif item.get("text"):
+                    parts.append(str(item["text"]))
+        return "\n".join(parts)
+    if isinstance(content, dict):
+        if content.get("text"):
+            return str(content["text"])
+        if content.get("content"):
+            return _text_from_any(content["content"])
+    return ""
+
+
+def _strip_codex_meta(text: str) -> str:
+    stripped = text.strip()
+    if not stripped:
+        return ""
+    if stripped.startswith("<codex_internal_context"):
+        return ""
+    if stripped.startswith("<environment_context"):
+        return ""
+    if stripped.startswith("# AGENTS.md instructions") or "--- project-doc ---" in stripped:
+        for marker in ("</environment_context>", "</INSTRUCTIONS>"):
+            idx = stripped.rfind(marker)
+            if idx == -1:
+                continue
+            tail = stripped[idx + len(marker):].strip()
+            if tail and not tail.startswith("<"):
+                return tail
+        return ""
+    return stripped
+
+
+def _sanitize_text(text: str) -> str:
+    sanitized = _strip_codex_meta(text).replace("\x00", "").strip()
+    if not sanitized or _is_meta_prompt(sanitized):
+        return ""
+    for pattern, replacement in _SECRET_PATTERNS:
+        sanitized = pattern.sub(replacement, sanitized)
+    return sanitized
+
+
+def _sanitize_tool_name(name: str) -> str:
+    return re.sub(r"[^A-Za-z0-9_.:-]+", "_", name)[:80]
+
+
+def _tool_name(payload: Dict[str, Any]) -> str:
+    payload_type = payload.get("type")
+    name = payload.get("name")
+    if isinstance(name, str) and name:
+        return _sanitize_tool_name(name)
+    if payload_type == "exec_command_end":
+        return "exec_command"
+    if payload_type == "patch_apply_end":
+        return "apply_patch"
+    if payload_type == "web_search_call":
+        return "web_search"
+    if payload_type == "tool_search_call":
+        return "tool_search"
+    if isinstance(payload_type, str) and payload_type.endswith("_tool_call"):
+        return _sanitize_tool_name(payload_type)
+    return ""
+
+
+def _dedup(xs: Iterable[str]) -> List[str]:
+    seen = set()
+    out: List[str] = []
+    for x in xs:
+        if x not in seen:
+            seen.add(x)
+            out.append(x)
+    return out
+
+
+def digest_codex_archived_session(path: str, project: str = "") -> Optional[SessionDigest]:
+    """Build a ``SessionDigest`` from one Codex Desktop archived session."""
+    session_id = os.path.splitext(os.path.basename(path))[0]
+    started = ""
+    ended = ""
+    session_project = ""
+    user_prompts: List[str] = []
+    assistant_finals: List[str] = []
+    tools: List[str] = []
+    feedback: List[str] = []
+    n_user = 0
+    n_asst = 0
+
+    for rec in _iter_jsonl(path):
+        payload = _payload(rec)
+        payload_type = payload.get("type")
+        ts = _timestamp(rec, payload)
+        if ts:
+            if not started:
+                started = ts
+            ended = ts
+        cwd = payload.get("cwd")
+        if isinstance(cwd, str) and cwd:
+            if not session_project:
+                session_project = cwd
+            if project and _project_matches(cwd, "invoked", project):
+                session_project = cwd
+
+        role = payload.get("role")
+        text = ""
+        output_role = ""
+        if payload_type == "user_message":
+            text = _text_from_any(payload.get("message"))
+            output_role = "user"
+        elif payload_type == "agent_message":
+            text = _text_from_any(payload.get("message"))
+            output_role = "assistant"
+        elif payload_type == "message" and role in {"user", "assistant"}:
+            text = _text_from_any(payload.get("content"))
+            output_role = str(role)
+        else:
+            tool = _tool_name(payload)
+            if tool:
+                tools.append(tool)
+            continue
+
+        sanitized = _sanitize_text(text)
+        if not sanitized:
+            continue
+        if output_role == "user":
+            n_user += 1
+            user_prompts.append(sanitized)
+            feedback.extend(_detect_feedback(sanitized))
+        elif output_role == "assistant":
+            n_asst += 1
+            assistant_finals.append(sanitized)
+
+    if project and not _project_matches(session_project or "", "invoked", project):
+        return None
+    if n_user == 0 and n_asst == 0:
+        return None
+
+    return SessionDigest(
+        session_id=session_id,
+        project=session_project,
+        started_at=started,
+        ended_at=ended,
+        user_prompts=user_prompts,
+        assistant_finals=assistant_finals[-5:],
+        tools_used=_dedup(tools),
+        files_touched=[],
+        feedback_signals=feedback,
+        n_user_turns=n_user,
+        n_assistant_turns=n_asst,
+        raw_path=path,
+    )
+
+
+def harvest_codex(
+    archived_sessions_dir: str,
+    *,
+    scope: Any = "all",
+    invoked_project: str = "",
+    since_iso: Optional[str] = None,
+    limit: int = 0,
+) -> List[SessionDigest]:
+    """Walk ``~/.codex/archived_sessions`` and return matching digests."""
+    digests: List[SessionDigest] = []
+    if not os.path.isdir(archived_sessions_dir):
+        return digests
+
+    paths = [
+        os.path.join(archived_sessions_dir, fn)
+        for fn in os.listdir(archived_sessions_dir)
+        if fn.endswith(".jsonl")
+    ]
+    paths.sort(key=lambda p: os.path.getmtime(p), reverse=True)
+
+    project_hint = invoked_project if scope == "invoked" else ""
+    for path in paths:
+        digest = digest_codex_archived_session(path, project=project_hint)
+        if digest is None:
+            continue
+        if not _project_matches(digest.project or "", scope, invoked_project):
+            continue
+        if since_iso and digest.ended_at and digest.ended_at < since_iso:
+            continue
+        digests.append(digest)
+        if limit and len(digests) >= limit:
+            break
+    return digests

skillopt_sleep/harvest_sources.py

@@ -0,0 +1,41 @@
+"""Source selection for SkillOpt-Sleep transcript harvesting."""
+from __future__ import annotations
+
+from typing import Optional
+
+from skillopt_sleep.harvest import harvest
+from skillopt_sleep.harvest_codex import harvest_codex
+from skillopt_sleep.types import SessionDigest
+
+
+def harvest_for_config(cfg, *, since_iso: Optional[str] = None, limit: int = 0) -> list[SessionDigest]:
+    source = cfg.get("transcript_source", "claude")
+    scope = cfg.get("projects", "invoked")
+    invoked_project = cfg.get("invoked_project", "")
+
+    if source == "codex":
+        return harvest_codex(
+            cfg.codex_archived_sessions_dir,
+            scope=scope,
+            invoked_project=invoked_project,
+            since_iso=since_iso,
+            limit=limit,
+        )
+    if source == "auto":
+        codex_digests = harvest_codex(
+            cfg.codex_archived_sessions_dir,
+            scope=scope,
+            invoked_project=invoked_project,
+            since_iso=since_iso,
+            limit=limit,
+        )
+        if codex_digests:
+            return codex_digests
+
+    return harvest(
+        cfg.transcripts_dir,
+        scope=scope,
+        invoked_project=invoked_project,
+        since_iso=since_iso,
+        limit=limit,
+    )

skillopt_sleep/memory.py

@@ -12,7 +12,6 @@ from typing import List, Tuple
 
 from skillopt_sleep.types import EditRecord
 
-
 LEARNED_START = "<!-- SKILLOPT-SLEEP:LEARNED START -->"
 LEARNED_END = "<!-- SKILLOPT-SLEEP:LEARNED END -->"
 _BANNER = (
@@ -79,7 +78,7 @@ def apply_edits(doc: str, edits: List[EditRecord]) -> Tuple[str, List[EditRecord
     anchor substring.
     """
     lines = current_learned_lines(doc)
-    norm_set = {_norm(l) for l in lines}
+    norm_set = {_norm(line) for line in lines}
     applied: List[EditRecord] = []
 
     for e in edits:
@@ -92,31 +91,31 @@ def apply_edits(doc: str, edits: List[EditRecord]) -> Tuple[str, List[EditRecord
             applied.append(e)
         elif op == "delete":
             anchor = _norm(e.anchor or e.content)
-            keep = [l for l in lines if anchor not in _norm(l)]
+            keep = [line for line in lines if anchor not in _norm(line)]
             if len(keep) != len(lines):
                 lines = keep
-                norm_set = {_norm(l) for l in lines}
+                norm_set = {_norm(line) for line in lines}
                 applied.append(e)
         elif op == "replace":
             anchor = _norm(e.anchor)
             new_lines = []
             changed = False
-            for l in lines:
+            for line in lines:
-                if anchor and anchor in _norm(l):
+                if anchor and anchor in _norm(line):
                     new_lines.append(e.content.strip())
                     changed = True
                 else:
-                    new_lines.append(l)
+                    new_lines.append(line)
             if changed:
                 lines = new_lines
-                norm_set = {_norm(l) for l in lines}
+                norm_set = {_norm(line) for line in lines}
                 applied.append(e)
 
     return set_learned(doc, lines), applied
 
 
 def ensure_skill_scaffold(doc: str, *, name: str, description: str) -> str:
-    """Ensure a SKILL.md has YAML frontmatter so Claude Code loads it."""
+    """Ensure a SKILL.md has YAML frontmatter so local agents load it."""
     if doc.lstrip().startswith("---"):
         return doc
     fm = (
@@ -125,6 +124,6 @@ def ensure_skill_scaffold(doc: str, *, name: str, description: str) -> str:
         f"description: {description}\n"
         "---\n\n"
         f"# {name}\n\n"
-        "Preferences and procedures learned from your past Claude Code sessions.\n"
+        "Preferences and procedures learned from your past local agent sessions.\n"
     )
     return fm + doc

skillopt_sleep/types.py

@@ -8,18 +8,17 @@ external dependencies.
 """
 from __future__ import annotations
 
-from dataclasses import dataclass, field, asdict
+from dataclasses import asdict, dataclass, field
-from typing import Any, Dict, List, Optional
+from typing import Any, Dict, List
-
 
 # ── Stage 1: harvest ──────────────────────────────────────────────────────────
 
 @dataclass
 class SessionDigest:
-    """A normalized summary of one Claude Code session transcript.
+    """A normalized summary of one local agent session transcript.
 
-    Produced by :mod:`skillopt_sleep.harvest` from a ``<sessionId>.jsonl``
+    Produced by source-specific harvesters from Claude Code transcripts or
-    transcript plus ``history.jsonl`` entries.
+    Codex Desktop archived sessions.
     """
 
     session_id: str

tests/test_sleep_engine.py

@@ -15,11 +15,11 @@ from skillopt_sleep.backend import MockBackend, exact_score, keyword_soft_score
 from skillopt_sleep.config import load_config
 from skillopt_sleep.consolidate import consolidate
 from skillopt_sleep.cycle import run_sleep_cycle
-from skillopt_sleep.experiments.personas import researcher_persona, programmer_persona
+from skillopt_sleep.experiments.personas import programmer_persona, researcher_persona
-from skillopt_sleep.harvest import digest_transcript, _detect_feedback, _is_meta_prompt
+from skillopt_sleep.harvest import _detect_feedback, _is_meta_prompt, digest_transcript
 from skillopt_sleep.memory import apply_edits, current_learned_lines, extract_learned, set_learned
-from skillopt_sleep.mine import assign_splits, heuristic_mine, dedup_tasks
+from skillopt_sleep.mine import assign_splits, heuristic_mine
-from skillopt_sleep.staging import adopt, latest_staging
+from skillopt_sleep.staging import adopt
 from skillopt_sleep.types import EditRecord, SessionDigest, TaskRecord
 
 
@@ -89,6 +89,97 @@ class TestHarvest(unittest.TestCase):
             self.assertIsInstance(d.session_id, str)
             self.assertGreaterEqual(d.n_user_turns + d.n_assistant_turns, 0)
 
+    def _write_jsonl(self, path, records):
+        with open(path, "w", encoding="utf-8") as f:
+            for record in records:
+                f.write(json.dumps(record) + "\n")
+
+    def test_digest_codex_archived_session_sanitizes_and_skips_meta(self):
+        from skillopt_sleep.harvest_codex import digest_codex_archived_session
+
+        with tempfile.TemporaryDirectory() as tmp:
+            path = os.path.join(tmp, "rollout-example.jsonl")
+            self._write_jsonl(path, [
+                {"type": "turn_context", "timestamp": "2026-06-12T10:00:00Z",
+                 "payload": {"cwd": "/repo/Yoshi", "type": None}},
+                {"type": "response_item", "timestamp": "2026-06-12T10:00:01Z",
+                 "payload": {"type": "message", "role": "developer",
+                             "content": [{"type": "text", "text": "do not copy"}]}},
+                {"type": "response_item", "timestamp": "2026-06-12T10:00:02Z",
+                 "payload": {"type": "user_message",
+                             "message": "# AGENTS.md instructions for /repo/Yoshi\n"
+                                        "<INSTRUCTIONS>do not keep</INSTRUCTIONS>"}},
+                {"type": "response_item", "timestamp": "2026-06-12T10:00:03Z",
+                 "payload": {"type": "user_message",
+                             "message": "run deploy with sk-1234567890abcdef and token local-secret"}},
+                {"type": "response_item", "timestamp": "2026-06-12T10:00:04Z",
+                 "payload": {"type": "function_call", "name": "exec_command",
+                             "arguments": "raw args should not copy"}},
+                {"type": "response_item", "timestamp": "2026-06-12T10:00:05Z",
+                 "payload": {"type": "function_call_output",
+                             "output": "raw output should not copy"}},
+                {"type": "response_item", "timestamp": "2026-06-12T10:00:06Z",
+                 "payload": {"type": "agent_message", "message": "done"}},
+            ])
+
+            digest = digest_codex_archived_session(path, project="/repo/Yoshi")
+
+        self.assertIsNotNone(digest)
+        joined = "\n".join(digest.user_prompts + digest.assistant_finals)
+        self.assertEqual(digest.project, "/repo/Yoshi")
+        self.assertIn("[REDACTED_OPENAI_KEY]", joined)
+        self.assertIn("token [REDACTED]", joined)
+        self.assertIn("exec_command", digest.tools_used)
+        self.assertNotIn("AGENTS.md instructions", joined)
+        self.assertNotIn("do not copy", joined)
+        self.assertNotIn("raw args should not copy", joined)
+        self.assertNotIn("raw output should not copy", joined)
+
+    def test_harvest_codex_filters_project_and_cli_source(self):
+        from skillopt_sleep.__main__ import _cfg_from_args
+        from skillopt_sleep.harvest_sources import harvest_for_config
+
+        with tempfile.TemporaryDirectory() as tmp:
+            codex_home = os.path.join(tmp, ".codex")
+            sessions = os.path.join(codex_home, "archived_sessions")
+            os.makedirs(sessions)
+            self._write_jsonl(os.path.join(sessions, "rollout-yoshi.jsonl"), [
+                {"type": "turn_context", "timestamp": "2026-06-12T10:00:00Z",
+                 "payload": {"cwd": "/repo/Yoshi", "type": None}},
+                {"type": "response_item", "timestamp": "2026-06-12T10:00:01Z",
+                 "payload": {"type": "user_message", "message": "fix Yoshi"}},
+                {"type": "response_item", "timestamp": "2026-06-12T10:00:02Z",
+                 "payload": {"type": "agent_message", "message": "fixed"}},
+            ])
+            self._write_jsonl(os.path.join(sessions, "rollout-other.jsonl"), [
+                {"type": "turn_context", "timestamp": "2026-06-12T10:00:00Z",
+                 "payload": {"cwd": "/repo/Other", "type": None}},
+                {"type": "response_item", "timestamp": "2026-06-12T10:00:01Z",
+                 "payload": {"type": "user_message", "message": "fix Other"}},
+            ])
+
+            Args = type("Args", (), {
+                "project": "/repo/Yoshi",
+                "scope": "",
+                "backend": "",
+                "model": "",
+                "codex_path": "",
+                "claude_home": "",
+                "codex_home": codex_home,
+                "source": "codex",
+                "lookback_hours": 0,
+                "edit_budget": 0,
+                "auto_adopt": False,
+            })
+
+            cfg = _cfg_from_args(Args())
+            digests = harvest_for_config(cfg, limit=10)
+
+        self.assertEqual(cfg.get("transcript_source"), "codex")
+        self.assertEqual(len(digests), 1)
+        self.assertEqual(digests[0].session_id, "rollout-yoshi")
+        self.assertEqual(digests[0].user_prompts, ["fix Yoshi"])
+
 
 class TestMine(unittest.TestCase):
     def _digest(self, prompts, feedback):
@@ -115,7 +206,6 @@ class TestMine(unittest.TestCase):
 
     def test_dream_never_in_val_or_test(self):
         # the anti-overfitting guarantee: origin='dream' tasks only ever land in train
-        from skillopt_sleep.types import TaskRecord
         real = researcher_persona()
         dream = [TaskRecord(id=f"d{i}", project="/p", intent=f"dream {i}",
                             origin="dream", derived_from="r0") for i in range(5)]
@@ -235,7 +325,7 @@ class TestLlmMiner(unittest.TestCase):
 class TestMultiObjectiveAndPrefs(unittest.TestCase):
     def test_multi_objective_reward(self):
         from skillopt_sleep.replay import multi_objective_reward
-        from skillopt_sleep.types import ReplayResult, TaskRecord
+        from skillopt_sleep.types import ReplayResult
         t = TaskRecord(id="t", project="/p", intent="x")
         expensive = [(t, ReplayResult(id="t", hard=1.0, tokens=4000, latency_ms=20000))]
         cheap = [(t, ReplayResult(id="t", hard=1.0, tokens=200, latency_ms=1000))]
@@ -249,7 +339,7 @@ class TestMultiObjectiveAndPrefs(unittest.TestCase):
 
     def test_preferences_injected_into_reflect(self):
         from skillopt_sleep.backend import CliBackend
-        from skillopt_sleep.types import TaskRecord, ReplayResult
+        from skillopt_sleep.types import ReplayResult
         captured = {}
 
         class CapBackend(CliBackend):
@@ -269,7 +359,6 @@ class TestMultiObjectiveAndPrefs(unittest.TestCase):
     def test_replay_records_cost(self):
         from skillopt_sleep.backend import MockBackend
         from skillopt_sleep.replay import replay_one
-        from skillopt_sleep.types import TaskRecord
         t = TaskRecord(id="t", project="/p", intent="hello world",
                        reference_kind="exact", reference="hi")
         r = replay_one(MockBackend(), t, "some skill text", "")
@@ -280,7 +369,7 @@ class TestMultiObjectiveAndPrefs(unittest.TestCase):
 class TestMultiRolloutAndBudget(unittest.TestCase):
     def test_rolloutset_stats(self):
         from skillopt_sleep.rollout import RolloutSet
-        from skillopt_sleep.types import ReplayResult, TaskRecord
+        from skillopt_sleep.types import ReplayResult
         rs = RolloutSet(task=TaskRecord(id="t", project="/p", intent="x"),
                         attempts=[ReplayResult(id="t", hard=1.0),
                                   ReplayResult(id="t", hard=0.0),
@@ -305,7 +394,7 @@ class TestMultiRolloutAndBudget(unittest.TestCase):
     def test_contrastive_reflect_with_stub(self):
         from skillopt_sleep.backend import Backend
         from skillopt_sleep.rollout import RolloutSet, contrastive_reflect
-        from skillopt_sleep.types import ReplayResult, TaskRecord
+        from skillopt_sleep.types import ReplayResult
 
         class StubBackend(Backend):
             name = "stub"
@@ -323,8 +412,11 @@ class TestMultiRolloutAndBudget(unittest.TestCase):
 class TestSlowUpdate(unittest.TestCase):
     def test_protected_field_roundtrip(self):
         from skillopt_sleep.slow_update import (
-            replace_slow_field, extract_slow_field, has_slow_field,
+            SLOW_UPDATE_END,
-            SLOW_UPDATE_START, SLOW_UPDATE_END,
+            SLOW_UPDATE_START,
+            extract_slow_field,
+            has_slow_field,
+            replace_slow_field,
         )
         base = "# skill\nkeep me\n"
         doc = replace_slow_field(base, "durable lesson A")
@@ -341,7 +433,7 @@ class TestSlowUpdate(unittest.TestCase):
     def test_run_slow_update_with_stub_backend(self):
         from skillopt_sleep.backend import Backend
         from skillopt_sleep.slow_update import run_slow_update
-        from skillopt_sleep.types import TaskRecord, ReplayResult
+        from skillopt_sleep.types import ReplayResult
 
         class StubBackend(Backend):
             name = "stub"
@@ -366,9 +458,8 @@ class TestSlowUpdate(unittest.TestCase):
 class TestToolLoop(unittest.TestCase):
     def test_tool_called_judge_via_replay(self):
         from skillopt_sleep.backend import MockBackend
-        from skillopt_sleep.replay import replay_one, _required_tools
         from skillopt_sleep.memory import set_learned
-        from skillopt_sleep.types import TaskRecord
+        from skillopt_sleep.replay import _required_tools, replay_one
 
         task = TaskRecord(
             id="qa1", project="/p", intent="answer the question",