remove atlas for now (#108)

This commit is contained in:
Dominik Kundel
2026-02-04 23:32:00 -08:00
committed by GitHub
parent 7d56b27c73
commit 2f7901ee42
8 changed files with 0 additions and 977 deletions
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---
name: "atlas"
description: "macOS-only AppleScript control for the ChatGPT Atlas desktop app. Use only when the user explicitly asks to control Atlas tabs/bookmarks/history on macOS and the \"ChatGPT Atlas\" app is installed; do not trigger for general browser tasks or non-macOS environments."
---
# Atlas Control (macOS)
Use the bundled CLI to control Atlas and inspect local browser data.
## Quick Start
Set a stable path to the CLI:
```bash
export CODEX_HOME="${CODEX_HOME:-$HOME/.codex}"
export ATLAS_CLI="$CODEX_HOME/skills/atlas/scripts/atlas_cli.py"
```
User-scoped skills install under `$CODEX_HOME/skills` (default: `~/.codex/skills`).
Then run:
```bash
uv run --python 3.12 python "$ATLAS_CLI" app-name
uv run --python 3.12 python "$ATLAS_CLI" tabs --json
```
The CLI requires the Atlas app bundle in `/Applications` or `~/Applications`:
- `ChatGPT Atlas`
If AppleScript fails with a permissions error, grant Automation permission in System Settings > Privacy & Security > Automation, allowing your terminal to control ChatGPT Atlas.
## Tabs Workflow
1. List tabs to get `window_id` and `tab_index`:
```bash
uv run --python 3.12 python "$ATLAS_CLI" tabs
```
2. Focus a tab using the `window_id` and `tab_index` from the listing:
```bash
uv run --python 3.12 python "$ATLAS_CLI" focus-tab <window_id> <tab_index>
```
3. Open a new tab:
```bash
uv run --python 3.12 python "$ATLAS_CLI" open-tab "https://chatgpt.com/"
```
Optional maintenance commands:
```bash
uv run --python 3.12 python "$ATLAS_CLI" reload-tab <window_id> <tab_index>
uv run --python 3.12 python "$ATLAS_CLI" close-tab <window_id> <tab_index>
```
## Bookmarks and History
Atlas stores Chromium-style profile data under `~/Library/Application Support/com.openai.atlas/browser-data/host/`.
List bookmarks:
```bash
uv run --python 3.12 python "$ATLAS_CLI" bookmarks --limit 100
```
Search bookmarks:
```bash
uv run --python 3.12 python "$ATLAS_CLI" bookmarks --search "docs"
```
Search history:
```bash
uv run --python 3.12 python "$ATLAS_CLI" history --search "openai docs" --limit 50
```
History for today (local time):
```bash
uv run --python 3.12 python "$ATLAS_CLI" history --today --limit 200 --json
```
The history command copies the SQLite database to a temporary location to avoid lock errors.
If history looks stale or empty, ask the user which Atlas install they are using, then check both Atlas data roots and inspect the one with the most recent `History` file:
- `~/Library/Application Support/com.openai.atlas/browser-data/host/`
- `~/Library/Application Support/com.openai.atlas.beta/browser-data/host/`
## References
Read `references/atlas-data.md` in the skill folder (for example, `$CODEX_HOME/skills/atlas/references/atlas-data.md`) when adjusting data paths or timestamps.
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interface:
display_name: "Atlas"
short_description: "Use to manage tabs in ChatGPT Atlas and access your browser history."
icon_small: "./assets/atlas-small.svg"
icon_large: "./assets/atlas.png"
default_prompt: "List all of my currently open browser tabs and call out duplicates."
@@ -1,4 +0,0 @@
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</svg>

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# Atlas Data Paths (macOS)
Atlas stores Chromium-style profile data under:
- `~/Library/Application Support/com.openai.atlas/browser-data/host/Local State`
- Profiles under: `~/Library/Application Support/com.openai.atlas/browser-data/host/<profile>`
Key files in the active profile:
- `History` (SQLite DB, table `urls`)
- `Bookmarks` (JSON)
The active profile is derived from `profile.last_used` in `Local State`, with a fallback to `Default`.
## AppleScript Assumptions
Atlas appears to expose a Safari-style AppleScript dictionary with:
- `every window`
- `every tab of w`
- `active tab index`
- `make new tab with properties {URL:"..."}`
- `close tab <n>`
- `reload tab <n>`
Treat Atlas as a single app with one AppleScript target.
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from __future__ import annotations
import argparse
import json
import sqlite3
import sys
from dataclasses import asdict, dataclass
from datetime import datetime, timedelta
from pathlib import Path
from typing import Iterable, Sequence
from atlas_common import (
AtlasError,
copy_sqlite_db,
detect_atlas_app_name,
detect_tab_capable_app_name,
get_bookmarks_path,
get_history_path,
tell_atlas,
)
ROW_SEP = "|||"
CHROME_EPOCH_OFFSET_SECONDS = 11_644_473_600
DEFAULT_HISTORY_LIMIT = 200
DEFAULT_BOOKMARK_LIMIT = 200
@dataclass(slots=True)
class Tab:
title: str
url: str
window_id: int
tab_index: int
is_active: bool
@dataclass(slots=True)
class HistoryRow:
id: int
url: str
title: str
last_visited_at: str
@dataclass(slots=True)
class Bookmark:
id: str
name: str
url: str
date_added: str
folder: str | None = None
def _escape_applescript_string(value: str) -> str:
return value.replace("\\", "\\\\").replace('"', '\\"')
def _chrome_microseconds_to_iso_date(value: str | None) -> str:
if not value:
return "unknown"
try:
timestamp = int(value)
except ValueError:
return "unknown"
unix_seconds = timestamp / 1_000_000 - CHROME_EPOCH_OFFSET_SECONDS
try:
dt = datetime.fromtimestamp(unix_seconds)
except (OverflowError, OSError, ValueError):
return "unknown"
return dt.date().isoformat()
def _chrome_time_from_unix_seconds(unix_seconds: float) -> int:
return int((unix_seconds + CHROME_EPOCH_OFFSET_SECONDS) * 1_000_000)
def _chrome_time_bounds_today() -> tuple[int, int]:
now = datetime.now().astimezone()
start = now.replace(hour=0, minute=0, second=0, microsecond=0)
end = start + timedelta(days=1)
return (
_chrome_time_from_unix_seconds(start.timestamp()),
_chrome_time_from_unix_seconds(end.timestamp()),
)
def get_tabs() -> list[Tab]:
tab_app = detect_tab_capable_app_name()
script_body = f"""
set tabList to {{}}
repeat with w in every window
set windowId to id of w
set tabIndex to 0
set activeIndex to active tab index of w
try
set winTabs to every tab of w
repeat with t in winTabs
set tabIndex to tabIndex + 1
set tabTitle to title of t
set tabURL to URL of t
set isActive to (tabIndex = activeIndex)
set end of tabList to {{tabTitle, tabURL, windowId, tabIndex, isActive}}
end repeat
end try
end repeat
set output to ""
repeat with tabInfo in tabList
set output to output & item 1 of tabInfo & "{ROW_SEP}" & item 2 of tabInfo & "{ROW_SEP}" & item 3 of tabInfo & "{ROW_SEP}" & item 4 of tabInfo & "{ROW_SEP}" & item 5 of tabInfo & "\\n"
end repeat
return output
""".strip()
raw = tell_atlas(script_body, app_name=tab_app)
if not raw:
return []
tabs: list[Tab] = []
for line in raw.splitlines():
parts = line.split(ROW_SEP)
if len(parts) != 5:
continue
title, url, window_id, tab_index, is_active = parts
try:
tabs.append(
Tab(
title=title,
url=url,
window_id=int(window_id),
tab_index=int(tab_index),
is_active=is_active == "true",
)
)
except ValueError:
continue
return tabs
def open_new_tab(url: str) -> None:
escaped_url = _escape_applescript_string(url)
script_body = f"""
activate
delay 0.1
open location "{escaped_url}"
activate
""".strip()
tell_atlas(script_body)
def focus_tab(window_id: int, tab_index: int) -> None:
tab_app = detect_tab_capable_app_name()
script_body = f"""
activate
set _wnd to first window whose id is {window_id}
set index of _wnd to 1
set active tab index of _wnd to {tab_index}
return true
""".strip()
tell_atlas(script_body, app_name=tab_app)
def close_tab(window_id: int, tab_index: int) -> None:
tab_app = detect_tab_capable_app_name()
script_body = f"""
set _wnd to first window whose id is {window_id}
tell _wnd
close tab {tab_index}
end tell
""".strip()
tell_atlas(script_body, app_name=tab_app)
def reload_tab(window_id: int, tab_index: int) -> None:
tab_app = detect_tab_capable_app_name()
script_body = f"""
set _wnd to first window whose id is {window_id}
tell _wnd
reload tab {tab_index}
end tell
""".strip()
tell_atlas(script_body, app_name=tab_app)
def _history_query(
terms: Sequence[str],
limit: int,
*,
chrome_start: int | None = None,
chrome_end: int | None = None,
) -> tuple[str, list[str | int]]:
params: list[str | int] = []
conditions: list[str] = []
if terms:
for term in terms:
conditions.append("(url LIKE ? OR title LIKE ?)")
like = f"%{term}%"
params.extend([like, like])
if chrome_start is not None:
conditions.append("last_visit_time >= ?")
params.append(chrome_start)
if chrome_end is not None:
conditions.append("last_visit_time < ?")
params.append(chrome_end)
where_clause = ""
if conditions:
where_clause = "\nWHERE " + " AND ".join(conditions)
base = f"""
WITH filtered AS (
SELECT id, url, title, last_visit_time
FROM urls{where_clause}
),
ranked AS (
SELECT
id,
url,
title,
last_visit_time,
ROW_NUMBER() OVER (
PARTITION BY url
ORDER BY last_visit_time DESC, id DESC
) AS rn
FROM filtered
)
SELECT
id,
url,
title,
datetime(last_visit_time / 1000000 + (strftime('%s', '1601-01-01')), 'unixepoch', 'localtime') AS lastVisitedAt
FROM ranked
WHERE rn = 1
ORDER BY last_visit_time DESC
LIMIT ?
""".strip()
params.append(limit)
return base, params
def search_history(search_text: str | None, limit: int, *, today: bool = False) -> list[HistoryRow]:
history_path = get_history_path()
db_copy = copy_sqlite_db(history_path)
terms = [t for t in (search_text or "").split() if t]
chrome_start: int | None = None
chrome_end: int | None = None
if today:
chrome_start, chrome_end = _chrome_time_bounds_today()
query, params = _history_query(terms, limit, chrome_start=chrome_start, chrome_end=chrome_end)
conn = sqlite3.connect(db_copy)
conn.row_factory = sqlite3.Row
try:
rows = conn.execute(query, params).fetchall()
finally:
conn.close()
history: list[HistoryRow] = []
for row in rows:
history.append(
HistoryRow(
id=int(row["id"]),
url=str(row["url"] or ""),
title=str(row["title"] or ""),
last_visited_at=str(row["lastVisitedAt"] or ""),
)
)
return history
def _iter_bookmark_nodes(node: dict, folder: str) -> Iterable[Bookmark]:
node_type = str(node.get("type") or "")
if node_type == "url" and node.get("url"):
yield Bookmark(
id=str(node.get("id") or ""),
name=str(node.get("name") or "Untitled"),
url=str(node.get("url") or ""),
date_added=_chrome_microseconds_to_iso_date(node.get("date_added")),
folder=folder or None,
)
children = node.get("children") or []
if not isinstance(children, list):
return
current_folder = str(node.get("name") or folder)
for child in children:
if isinstance(child, dict):
yield from _iter_bookmark_nodes(child, current_folder)
def get_bookmarks(limit: int, search_text: str | None) -> list[Bookmark]:
bookmarks_path = get_bookmarks_path()
data = json.loads(bookmarks_path.read_text(encoding="utf-8"))
roots = data.get("roots") or {}
ordered_roots = [
("Bookmarks Bar", roots.get("bookmark_bar") or {}),
("Other Bookmarks", roots.get("other") or {}),
("Synced Bookmarks", roots.get("synced") or {}),
]
bookmarks: list[Bookmark] = []
for folder_name, root in ordered_roots:
if isinstance(root, dict):
bookmarks.extend(_iter_bookmark_nodes(root, folder_name))
if search_text:
lowered = search_text.lower()
bookmarks = [
b
for b in bookmarks
if lowered in b.name.lower() or lowered in b.url.lower() or lowered in (b.folder or "").lower()
]
return bookmarks[:limit]
def _print_table(rows: Iterable[Sequence[object]], headers: Sequence[str]) -> None:
widths = [len(h) for h in headers]
materialized = [tuple(str(cell) for cell in row) for row in rows]
for row in materialized:
for i, cell in enumerate(row):
widths[i] = max(widths[i], len(cell))
def fmt_row(row: Sequence[str]) -> str:
return " ".join(cell.ljust(widths[i]) for i, cell in enumerate(row))
print(fmt_row(headers))
print(fmt_row(["-" * w for w in widths]))
for row in materialized:
print(fmt_row(row))
def _render_tabs(tabs: list[Tab], as_json: bool) -> None:
if as_json:
print(json.dumps([asdict(t) for t in tabs], indent=2))
return
rows = [
(
"*" if t.is_active else " ",
t.window_id,
t.tab_index,
t.title,
t.url,
)
for t in tabs
]
_print_table(rows, headers=["A", "window_id", "tab", "title", "url"])
def _render_history(rows: list[HistoryRow], as_json: bool) -> None:
if as_json:
print(json.dumps([asdict(r) for r in rows], indent=2))
return
table = [(r.last_visited_at, r.title, r.url) for r in rows]
_print_table(table, headers=["last_visited_at", "title", "url"])
def _render_bookmarks(rows: list[Bookmark], as_json: bool) -> None:
if as_json:
print(json.dumps([asdict(r) for r in rows], indent=2))
return
table = [(r.folder or "", r.name, r.url, r.date_added) for r in rows]
_print_table(table, headers=["folder", "name", "url", "date_added"])
def _parse_args(argv: Sequence[str]) -> argparse.Namespace:
parser = argparse.ArgumentParser(description="Control ChatGPT Atlas from the terminal.")
sub = parser.add_subparsers(dest="command", required=True)
sub.add_parser("app-name", help="Print the detected Atlas application name")
tabs_parser = sub.add_parser("tabs", help="List open Atlas tabs")
tabs_parser.add_argument("--json", action="store_true", help="Emit JSON instead of a table")
open_parser = sub.add_parser("open-tab", help="Open a new Atlas tab")
open_parser.add_argument("url", help="URL to open")
focus_parser = sub.add_parser("focus-tab", help="Focus a tab by window id and tab index")
focus_parser.add_argument("window_id", type=int, help="Atlas window id (from tabs output)")
focus_parser.add_argument("tab_index", type=int, help="Tab index within the window (1-based)")
close_parser = sub.add_parser("close-tab", help="Close a tab by window id and tab index")
close_parser.add_argument("window_id", type=int, help="Atlas window id (from tabs output)")
close_parser.add_argument("tab_index", type=int, help="Tab index within the window (1-based)")
reload_parser = sub.add_parser("reload-tab", help="Reload a tab by window id and tab index")
reload_parser.add_argument("window_id", type=int, help="Atlas window id (from tabs output)")
reload_parser.add_argument("tab_index", type=int, help="Tab index within the window (1-based)")
history_parser = sub.add_parser("history", help="Search Atlas history")
history_parser.add_argument("--search", default=None, help="Space-separated search terms")
history_parser.add_argument("--limit", type=int, default=DEFAULT_HISTORY_LIMIT, help="Max rows to return")
history_parser.add_argument(
"--today",
action="store_true",
help="Limit results to pages visited today (local time)",
)
history_parser.add_argument("--json", action="store_true", help="Emit JSON instead of a table")
bookmarks_parser = sub.add_parser("bookmarks", help="List Atlas bookmarks")
bookmarks_parser.add_argument("--search", default=None, help="Filter bookmarks by text")
bookmarks_parser.add_argument("--limit", type=int, default=DEFAULT_BOOKMARK_LIMIT, help="Max rows to return")
bookmarks_parser.add_argument("--json", action="store_true", help="Emit JSON instead of a table")
return parser.parse_args(argv)
def main(argv: Sequence[str] | None = None) -> int:
args = _parse_args(argv or sys.argv[1:])
try:
if args.command == "app-name":
print(detect_atlas_app_name())
return 0
if args.command == "tabs":
_render_tabs(get_tabs(), as_json=args.json)
return 0
if args.command == "open-tab":
open_new_tab(args.url)
print(f"Opened tab: {args.url}")
return 0
if args.command == "focus-tab":
focus_tab(args.window_id, args.tab_index)
print(f"Focused window id {args.window_id}, tab {args.tab_index}")
return 0
if args.command == "close-tab":
close_tab(args.window_id, args.tab_index)
print(f"Closed window id {args.window_id}, tab {args.tab_index}")
return 0
if args.command == "reload-tab":
reload_tab(args.window_id, args.tab_index)
print(f"Reloaded window id {args.window_id}, tab {args.tab_index}")
return 0
if args.command == "history":
rows = search_history(args.search, max(1, args.limit), today=args.today)
_render_history(rows, as_json=args.json)
return 0
if args.command == "bookmarks":
rows = get_bookmarks(max(1, args.limit), args.search)
_render_bookmarks(rows, as_json=args.json)
return 0
raise AtlasError(f"Unknown command: {args.command}")
except AtlasError as exc:
print(f"atlas error: {exc}", file=sys.stderr)
return 2
if __name__ == "__main__":
raise SystemExit(main())
@@ -1,168 +0,0 @@
from __future__ import annotations
import json
import shutil
import subprocess
import tempfile
from functools import lru_cache
from pathlib import Path
from typing import Any
ATLAS_APP_NAME = "ChatGPT Atlas"
LOCAL_STATE_PATH = (
Path.home()
/ "Library"
/ "Application Support"
/ "com.openai.atlas"
/ "browser-data"
/ "host"
/ "Local State"
)
class AtlasError(RuntimeError):
"""Raised when Atlas-specific operations fail."""
def _app_bundle_paths(app_name: str) -> list[Path]:
return [
Path("/Applications") / f"{app_name}.app",
Path.home() / "Applications" / f"{app_name}.app",
]
def is_app_installed(app_name: str) -> bool:
return any(path.exists() for path in _app_bundle_paths(app_name))
@lru_cache(maxsize=1)
def detect_atlas_app_name() -> str:
"""Return the Atlas app name when it is installed."""
if is_app_installed(ATLAS_APP_NAME):
return ATLAS_APP_NAME
raise AtlasError("Could not find ChatGPT Atlas. Install the ChatGPT Atlas app.")
def _ensure_local_state_path(path: Path = LOCAL_STATE_PATH) -> Path:
if not path.exists():
raise AtlasError(f"Local State file not found at: {path}")
return path
def read_local_state(path: Path = LOCAL_STATE_PATH) -> dict[str, Any]:
local_state_path = _ensure_local_state_path(path)
try:
return json.loads(local_state_path.read_text(encoding="utf-8"))
except json.JSONDecodeError as exc:
raise AtlasError(f"Failed to parse Local State JSON at: {local_state_path}") from exc
def get_active_profile_path() -> Path:
"""Resolve the active Atlas profile directory, falling back to Default."""
local_state = read_local_state()
host_root = LOCAL_STATE_PATH.parent
last_used = local_state.get("profile", {}).get("last_used")
if isinstance(last_used, str) and last_used:
candidate = host_root / last_used
if candidate.exists():
return candidate
default_profile = host_root / "Default"
if default_profile.exists():
return default_profile
raise AtlasError(
"Unable to resolve an Atlas profile directory. "
f"Checked last_used={last_used!r} and Default under: {host_root}"
)
def get_history_path() -> Path:
return get_active_profile_path() / "History"
def get_bookmarks_path() -> Path:
return get_active_profile_path() / "Bookmarks"
def copy_sqlite_db(path: Path) -> Path:
"""Copy a SQLite DB to a temp location to avoid lock errors."""
if not path.exists():
raise AtlasError(f"SQLite database not found at: {path}")
tmp_dir = Path(tempfile.mkdtemp(prefix="atlas-db-"))
dest = tmp_dir / path.name
shutil.copy2(path, dest)
return dest
def _run_applescript_raw(script: str) -> subprocess.CompletedProcess[str]:
if shutil.which("osascript") is None:
raise AtlasError("osascript is not available on PATH; Atlas control requires macOS")
return subprocess.run(
["osascript", "-e", script],
check=False,
capture_output=True,
text=True,
)
def _applescript_hint(stderr: str) -> str | None:
lower = stderr.lower()
if "-1743" in stderr or "not authorized" in lower or "not permitted" in lower:
return (
"Grant Automation permission in System Settings > Privacy & Security > Automation, "
"and allow your terminal to control ChatGPT Atlas."
)
return None
def run_applescript(script: str) -> str:
"""Execute AppleScript via osascript and return stdout."""
completed = _run_applescript_raw(script)
if completed.returncode != 0:
stderr = (completed.stderr or "").strip()
hint = _applescript_hint(stderr)
if hint:
stderr = f"{stderr} (Hint: {hint})"
raise AtlasError(f"AppleScript failed: {stderr}")
return (completed.stdout or "").strip()
@lru_cache(maxsize=4)
def is_tab_capable(app_name: str) -> bool:
"""Return True if the app supports basic window/tab AppleScript queries."""
if not is_app_installed(app_name):
return False
probe = f'tell application "{app_name}" to get count of windows'
completed = _run_applescript_raw(probe)
if completed.returncode != 0:
stderr = (completed.stderr or "").strip()
hint = _applescript_hint(stderr)
if hint:
raise AtlasError(f"AppleScript probe failed: {stderr} (Hint: {hint})")
return False
return True
@lru_cache(maxsize=1)
def detect_tab_capable_app_name() -> str:
"""Return the Atlas app name when it supports tab scripting."""
app_name = detect_atlas_app_name()
if not is_tab_capable(app_name):
raise AtlasError(
"ChatGPT Atlas is installed but does not appear to expose window/tab scripting."
)
return app_name
def tell_atlas(script_body: str, app_name: str | None = None) -> str:
"""Wrap a script body in a tell application block for the detected Atlas app."""
target_app = app_name or detect_atlas_app_name()
script = f'tell application "{target_app}"\n{script_body}\nend tell'
return run_applescript(script)