chore: import zh skill sessions

This commit is contained in:
wehub-skill-sync
2026-07-13 21:36:56 +08:00
commit 08cde863c6
6 changed files with 1110 additions and 0 deletions
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#!/usr/bin/env bash
# Discover session files across Claude Code, Codex, and Cursor.
#
# Usage: discover-sessions.sh <repo-name> <days> [--platform claude|codex|cursor]
#
# Outputs one file path per line. Safe in both bash and zsh (all globs guarded).
# Pass output to extract-metadata.py:
# python3 extract-metadata.py --cwd-filter <repo-name> $(bash discover-sessions.sh <repo-name> 7)
#
# Arguments:
# repo-name Folder name of the repo (e.g., "my-repo"). Used for directory matching.
# days Scan window in days (e.g., 7). Files older than this are skipped.
# --platform Restrict to a single platform. Omit to search all.
set -euo pipefail
REPO_NAME="${1:?Usage: discover-sessions.sh <repo-name> <days> [--platform claude|codex|cursor]}"
DAYS="${2:?Usage: discover-sessions.sh <repo-name> <days> [--platform claude|codex|cursor]}"
PLATFORM="${4:-all}"
# Parse optional --platform flag
shift 2
while [ $# -gt 0 ]; do
case "$1" in
--platform) PLATFORM="$2"; shift 2 ;;
*) shift ;;
esac
done
# --- Claude Code ---
discover_claude() {
local base="$HOME/.claude/projects"
[ -d "$base" ] || return 0
# Find all project dirs matching repo name
for dir in "$base"/*"$REPO_NAME"*/; do
[ -d "$dir" ] || continue
find "$dir" -maxdepth 1 -name "*.jsonl" -mtime "-${DAYS}" 2>/dev/null
done
}
# --- Codex ---
discover_codex() {
for base in "$HOME/.codex/sessions" "$HOME/.agents/sessions"; do
[ -d "$base" ] || continue
# Use mtime-based discovery (consistent with Claude/Cursor) so that
# sessions started before the scan window but still active within it
# are not missed.
find "$base" -name "*.jsonl" -mtime "-${DAYS}" 2>/dev/null
done
}
# --- Cursor ---
discover_cursor() {
local base="$HOME/.cursor/projects"
[ -d "$base" ] || return 0
for dir in "$base"/*"$REPO_NAME"*/; do
[ -d "$dir" ] || continue
local transcripts="$dir/agent-transcripts"
[ -d "$transcripts" ] || continue
find "$transcripts" -name "*.jsonl" -mtime "-${DAYS}" 2>/dev/null
done
}
# --- Dispatch ---
case "$PLATFORM" in
claude) discover_claude ;;
codex) discover_codex ;;
cursor) discover_cursor ;;
all)
discover_claude
discover_codex
discover_cursor
;;
*)
echo "Unknown platform: $PLATFORM" >&2
exit 1
;;
esac
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#!/usr/bin/env python3
"""Extract error signals from a Claude Code, Codex, or Cursor JSONL session file.
Usage:
cat <session.jsonl> | python3 extract-errors.py
cat <session.jsonl> | python3 extract-errors.py --output PATH
Auto-detects platform from the JSONL structure.
Note: Cursor agent transcripts do not log tool results, so no errors can be extracted.
Finds failed tool calls / commands and outputs them with timestamps.
When --output PATH is given, the extracted error log is written to PATH and
stdout receives only a one-line JSON status (_meta with wrote/bytes/stats).
This lets callers route bulk content to a scratch file without round-tripping
extraction bytes through orchestrator tool results.
Without --output, extracted content goes to stdout and ends with a _meta line.
"""
import argparse
import io
import os
import sys
import json
parser = argparse.ArgumentParser(add_help=True)
parser.add_argument(
"--output",
metavar="PATH",
help="Write extracted errors to PATH instead of stdout. Stdout receives a one-line _meta status.",
)
args = parser.parse_args()
_original_stdout = sys.stdout
if args.output:
sys.stdout = io.StringIO()
stats = {"lines": 0, "parse_errors": 0, "errors_found": 0}
def summarize_error(raw):
"""Extract a short error summary instead of dumping the full payload."""
text = str(raw).strip()
# Take the first non-empty line as the error message
for line in text.split("\n"):
line = line.strip()
if line:
return line[:200]
return text[:200]
def handle_claude(obj):
if obj.get("type") == "user":
content = obj.get("message", {}).get("content", [])
if isinstance(content, list):
for block in content:
if block.get("type") == "tool_result" and block.get("is_error"):
ts = obj.get("timestamp", "")[:19]
summary = summarize_error(block.get("content", ""))
print(f"[{ts}] [error] {summary}")
print("---")
stats["errors_found"] += 1
def handle_codex(obj):
if obj.get("type") == "event_msg":
p = obj.get("payload", {})
if p.get("type") == "exec_command_end":
output = p.get("aggregated_output", "")
stderr = p.get("stderr", "")
command = p.get("command", [])
cmd_str = command[-1] if command else ""
exit_match = None
if "Process exited with code " in output:
try:
code_str = output.split("Process exited with code ")[1].split("\n")[0]
exit_code = int(code_str)
if exit_code != 0:
exit_match = exit_code
except (IndexError, ValueError):
pass
if exit_match is not None or stderr:
ts = obj.get("timestamp", "")[:19]
error_summary = summarize_error(stderr if stderr else output)
print(f"[{ts}] [error] exit={exit_match} cmd={cmd_str[:120]}: {error_summary}")
print("---")
stats["errors_found"] += 1
# Auto-detect platform from first few lines, then process all
detected = None
buffer = []
for line in sys.stdin:
line = line.strip()
if not line:
continue
buffer.append(line)
stats["lines"] += 1
if not detected and len(buffer) <= 10:
try:
obj = json.loads(line)
if obj.get("type") in ("user", "assistant"):
detected = "claude"
elif obj.get("type") in ("session_meta", "turn_context", "response_item", "event_msg"):
detected = "codex"
elif obj.get("role") in ("user", "assistant") and "type" not in obj:
detected = "cursor"
except (json.JSONDecodeError, KeyError):
pass
# Cursor transcripts don't log tool results — no errors to extract
def handle_noop(obj):
pass
handlers = {"claude": handle_claude, "codex": handle_codex, "cursor": handle_noop}
handler = handlers.get(detected, handle_noop)
for line in buffer:
try:
handler(json.loads(line))
except (json.JSONDecodeError, KeyError):
stats["parse_errors"] += 1
print(json.dumps({"_meta": True, **stats}))
if args.output:
body = sys.stdout.getvalue()
sys.stdout = _original_stdout
with open(args.output, "w") as f:
f.write(body)
bytes_written = os.path.getsize(args.output)
print(json.dumps({"_meta": True, "wrote": args.output, "bytes": bytes_written, **stats}))
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#!/usr/bin/env python3
"""Extract session metadata from Claude Code, Codex, and Cursor JSONL files.
Batch mode (preferred — one invocation for all files):
python3 extract-metadata.py /path/to/dir/*.jsonl
python3 extract-metadata.py file1.jsonl file2.jsonl file3.jsonl
Single-file mode (stdin):
head -20 <session.jsonl> | python3 extract-metadata.py
Auto-detects platform from the JSONL structure.
Outputs one JSON object per file, one per line.
Includes a final _meta line with processing stats.
"""
import sys
import json
import os
MAX_LINES = 25 # Only need first ~25 lines for metadata
def try_claude(lines):
for line in lines:
try:
obj = json.loads(line.strip())
if obj.get("type") == "user" and "gitBranch" in obj:
return {
"platform": "claude",
"branch": obj["gitBranch"],
"ts": obj.get("timestamp", ""),
"session": obj.get("sessionId", ""),
}
except (json.JSONDecodeError, KeyError):
pass
return None
def try_codex(lines):
meta = {}
for line in lines:
try:
obj = json.loads(line.strip())
if obj.get("type") == "session_meta":
p = obj.get("payload", {})
meta["platform"] = "codex"
meta["cwd"] = p.get("cwd", "")
meta["session"] = p.get("id", "")
meta["ts"] = p.get("timestamp", obj.get("timestamp", ""))
meta["source"] = p.get("source", "")
meta["cli_version"] = p.get("cli_version", "")
elif obj.get("type") == "turn_context":
p = obj.get("payload", {})
meta["model"] = p.get("model", "")
meta["cwd"] = meta.get("cwd") or p.get("cwd", "")
except (json.JSONDecodeError, KeyError):
pass
return meta if meta else None
def try_cursor(lines):
"""Cursor agent transcripts: role-based entries, no timestamps or metadata fields."""
for line in lines:
try:
obj = json.loads(line.strip())
# Cursor entries have 'role' at top level but no 'type'
if obj.get("role") in ("user", "assistant") and "type" not in obj:
return {"platform": "cursor"}
except (json.JSONDecodeError, KeyError):
pass
return None
def extract_from_lines(lines):
return try_claude(lines) or try_codex(lines) or try_cursor(lines)
TAIL_BYTES = 16384 # Read last 16KB to find final timestamp past trailing metadata
def get_last_timestamp(filepath, size):
"""Read the tail of a file to find the last message with a timestamp."""
try:
with open(filepath, "rb") as f:
f.seek(max(0, size - TAIL_BYTES))
tail = f.read().decode("utf-8", errors="ignore")
lines = tail.strip().split("\n")
for line in reversed(lines):
try:
obj = json.loads(line.strip())
if "timestamp" in obj:
return obj["timestamp"]
except (json.JSONDecodeError, KeyError):
pass
except (OSError, IOError):
pass
return None
def _extract_user_assistant_text(filepath):
"""Return concatenated user + assistant text content from a session JSONL.
Skips JSONL metadata field names and values (sessionId, gitBranch, uuid,
timestamps, type tags), tool_use blocks (tool names + tool inputs),
tool_result blocks (tool outputs), and thinking/reasoning blocks. Only
content the user or assistant actually said is included.
Without this filtering, common topic words like "session" would match every
JSONL file via the sessionId field, drowning out real content matches.
"""
chunks = []
try:
with open(filepath, "r", errors="replace") as f:
for line in f:
try:
obj = json.loads(line.strip())
except (json.JSONDecodeError, ValueError):
continue
# Claude Code: type-tagged top-level
t = obj.get("type")
if t == "user":
msg = obj.get("message", {})
content = msg.get("content")
if isinstance(content, str):
chunks.append(content)
elif isinstance(content, list):
for block in content:
if isinstance(block, dict) and block.get("type") == "text":
chunks.append(block.get("text", ""))
# Skip tool_result blocks — tool outputs are not user content.
continue
if t == "assistant":
msg = obj.get("message", {})
content = msg.get("content", [])
if isinstance(content, list):
for block in content:
if isinstance(block, dict) and block.get("type") == "text":
chunks.append(block.get("text", ""))
# Skip tool_use and thinking blocks.
continue
# Codex: payload-typed events
if t == "event_msg":
p = obj.get("payload", {})
if p.get("type") == "user_message":
# Strip Codex/Conductor `<system_instruction>...</system_instruction>`
# wrapper before counting. Without this, generic wrapper terms
# (e.g., "Conductor", environment labels) false-match against
# boilerplate the user did not author. Mirrors the same split
# used in ce-session-extract/scripts/extract-skeleton.py.
msg = p.get("message", "")
if isinstance(msg, str):
parts = msg.split("</system_instruction>")
chunks.append(parts[-1] if parts else msg)
continue
if t == "response_item":
p = obj.get("payload", {})
if p.get("type") == "message" and p.get("role") == "assistant":
for block in p.get("content", []):
if isinstance(block, dict) and block.get("type") == "output_text":
chunks.append(block.get("text", ""))
continue
# Cursor: role-tagged with no top-level type
if obj.get("role") in ("user", "assistant") and "type" not in obj:
msg = obj.get("message", {})
for block in msg.get("content", []) if isinstance(msg.get("content"), list) else []:
if isinstance(block, dict) and block.get("type") == "text":
chunks.append(block.get("text", ""))
continue
except (OSError, IOError):
pass
return "\n".join(chunks)
def count_keyword_matches(filepath, keywords):
"""Case-insensitive substring count for each keyword in user/assistant text.
Returns a dict {original_keyword: count}. Scans only content the user or
assistant said — not JSONL metadata, tool calls, tool outputs, or thinking
blocks — so common topic words like "session" do not false-match against
the sessionId field.
"""
text_lower = _extract_user_assistant_text(filepath).lower()
return {kw: text_lower.count(kw.lower()) for kw in keywords}
def process_file(filepath):
"""Extract metadata only. Keyword scanning is done separately so callers
can apply cheap filters (e.g. --cwd-filter) before paying the full-file
content scan cost."""
try:
size = os.path.getsize(filepath)
with open(filepath, "r") as f:
lines = []
for i, line in enumerate(f):
if i >= MAX_LINES:
break
lines.append(line)
result = extract_from_lines(lines)
if result:
result["file"] = filepath
result["size"] = size
if result["platform"] == "cursor":
# Cursor transcripts have no timestamps in JSONL.
# Use file modification time as the best available signal.
# Derive session ID from the parent directory name (UUID).
mtime = os.path.getmtime(filepath)
from datetime import datetime, timezone
result["ts"] = datetime.fromtimestamp(mtime, tz=timezone.utc).isoformat()
result["session"] = os.path.basename(os.path.dirname(filepath))
else:
last_ts = get_last_timestamp(filepath, size)
if last_ts:
result["last_ts"] = last_ts
return result, None
else:
return None, filepath
except (OSError, IOError) as e:
return None, filepath
# Parse arguments: files and optional --cwd-filter / --keyword
files = []
cwd_filter = None
keywords = None
args = sys.argv[1:]
i = 0
while i < len(args):
if args[i] == "--cwd-filter" and i + 1 < len(args):
cwd_filter = args[i + 1]
i += 2
elif args[i] == "--keyword" and i + 1 < len(args):
keywords = [k for k in args[i + 1].split(",") if k]
i += 2
elif not args[i].startswith("-"):
files.append(args[i])
i += 1
else:
i += 1
if files:
# Batch mode: process all files
processed = 0
parse_errors = 0
filtered = 0
matched = 0
for filepath in files:
if not filepath.endswith(".jsonl"):
continue
result, error = process_file(filepath)
processed += 1
if result:
# Apply CWD filter first: cheap metadata-only check. Skip Codex
# sessions from other repos before paying the full-file keyword
# scan cost — Codex discovery returns sessions across all repos,
# so without this ordering --keyword would scan files that are
# immediately discarded.
if cwd_filter and result.get("cwd") and cwd_filter not in result["cwd"]:
filtered += 1
continue
# Apply keyword scan only after cheap filters pass.
if keywords:
matches = count_keyword_matches(filepath, keywords)
result["keyword_matches"] = matches
result["match_count"] = sum(matches.values())
if result["match_count"] == 0:
continue
matched += 1
print(json.dumps(result))
elif error:
parse_errors += 1
meta = {"_meta": True, "files_processed": processed, "parse_errors": parse_errors}
if filtered:
meta["filtered_by_cwd"] = filtered
if keywords:
meta["files_matched"] = matched
print(json.dumps(meta))
else:
# No file arguments: either single-file stdin mode or empty xargs invocation.
# When xargs runs us with no input (e.g., discover found no files), stdin is
# empty or a TTY — emit a clean zero-file result instead of a false parse error.
if sys.stdin.isatty():
lines = []
else:
lines = list(sys.stdin)
if not lines:
# No input at all — zero-file result (clean exit for empty pipelines).
# When --keyword was supplied, emit files_matched: 0 so callers relying
# on its presence to terminate quickly in zero-match scans see a
# consistent shape with the batch-mode no-match case.
meta = {"_meta": True, "files_processed": 0, "parse_errors": 0}
if keywords:
meta["files_matched"] = 0
print(json.dumps(meta))
else:
# Genuine single-file stdin mode (backward compatible)
result = extract_from_lines(lines)
if result:
print(json.dumps(result))
print(json.dumps({"_meta": True, "files_processed": 1, "parse_errors": 0 if result else 1}))
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#!/usr/bin/env python3
"""Extract the conversation skeleton from a Claude Code, Codex, or Cursor JSONL session file.
Usage:
cat <session.jsonl> | python3 extract-skeleton.py
cat <session.jsonl> | python3 extract-skeleton.py --output PATH
Auto-detects platform (Claude Code, Codex, or Cursor) from the JSONL structure.
Extracts:
- User messages (text only, no tool results)
- Assistant text (no thinking/reasoning blocks)
- Collapsed tool call summaries (consecutive same-tool calls grouped)
Consecutive tool calls of the same type are collapsed:
3+ Read calls -> "[tools] 3x Read (file1, file2, +1 more) -> all ok"
Codex call/result pairs are deduplicated (only the result with status is kept).
When --output PATH is given, the extracted skeleton is written to PATH and
stdout receives only a one-line JSON status (_meta with wrote/bytes/stats).
This lets callers route bulk content to a scratch file without round-tripping
extraction bytes through orchestrator tool results.
Without --output, extracted content goes to stdout and ends with a _meta line.
"""
import argparse
import io
import os
import sys
import json
import re
parser = argparse.ArgumentParser(add_help=True)
parser.add_argument(
"--output",
metavar="PATH",
help="Write extracted skeleton to PATH instead of stdout. Stdout receives a one-line _meta status.",
)
args = parser.parse_args()
# Capture-and-redirect when --output is set: prints in the rest of the script
# go to the buffer; at the end the buffer is written to PATH and a status
# line is emitted to the real stdout.
_original_stdout = sys.stdout
if args.output:
sys.stdout = io.StringIO()
stats = {"lines": 0, "parse_errors": 0, "user": 0, "assistant": 0, "tool": 0}
# Claude Code wrapper tags to strip from user message content.
# Strip entirely (tag + content): framework noise and raw command output.
# Strip tags only (keep content): command-message, command-name, command-args, user_query.
_STRIP_BLOCK = re.compile(
r"<(?:task-notification|local-command-caveat|local-command-stdout|local-command-stderr|system-reminder)[^>]*>.*?</(?:task-notification|local-command-caveat|local-command-stdout|local-command-stderr|system-reminder)>",
re.DOTALL,
)
_STRIP_TAG = re.compile(
r"</?(?:command-message|command-name|command-args|user_query)[^>]*>"
)
def clean_text(text):
"""Strip framework wrapper tags from message text (Claude and Cursor)."""
text = _STRIP_BLOCK.sub("", text)
text = _STRIP_TAG.sub("", text)
text = re.sub(r"\n{3,}", "\n\n", text).strip()
return text
# Buffer for pending tool entries: [{"ts", "name", "target", "status"}]
pending_tools = []
def flush_tools():
"""Print buffered tool entries, collapsing consecutive same-name groups."""
if not pending_tools:
return
# Group consecutive entries by tool name
groups = []
for entry in pending_tools:
if groups and groups[-1][0]["name"] == entry["name"]:
groups[-1].append(entry)
else:
groups.append([entry])
for group in groups:
name = group[0]["name"]
if len(group) <= 2:
# Print individually
for e in group:
status = f" -> {e['status']}" if e.get("status") else ""
ts_prefix = f"[{e['ts']}] " if e.get("ts") else ""
print(f"{ts_prefix}[tool] {name} {e['target']}{status}")
stats["tool"] += 1
else:
# Collapse
ts = group[0].get("ts", "")
targets = [e["target"] for e in group if e.get("target")]
ok = sum(1 for e in group if e.get("status") == "ok")
err = sum(1 for e in group if e.get("status") and e["status"] != "ok")
no_status = len(group) - ok - err
# Show first 2 targets, then "+N more"
if len(targets) > 2:
target_str = ", ".join(targets[:2]) + f", +{len(targets) - 2} more"
elif targets:
target_str = ", ".join(targets)
else:
target_str = ""
if no_status == len(group):
status_str = ""
elif err == 0:
status_str = " -> all ok"
else:
status_str = f" -> {ok} ok, {err} error"
ts_prefix = f"[{ts}] " if ts else ""
print(f"{ts_prefix}[tools] {len(group)}x {name} ({target_str}){status_str}")
stats["tool"] += len(group)
pending_tools.clear()
def _safe_slice(value, n):
"""Slice value if it is a string; otherwise return ''.
Some Claude Code / MCP tool inputs put structured data (dicts, lists) in
fields like `query` or `prompt`. `dict[:N]` raises TypeError, so guard
every slice with an isinstance check.
"""
return value[:n] if isinstance(value, str) else ""
def summarize_claude_tool(block):
"""Extract name and target from a Claude Code tool_use block."""
name = block.get("name", "unknown")
inp = block.get("input", {})
fp = inp.get("file_path")
p = inp.get("path")
target = (
(fp if isinstance(fp, str) else None)
or (p if isinstance(p, str) else None)
or _safe_slice(inp.get("command"), 120)
or _safe_slice(inp.get("pattern"), 200)
or _safe_slice(inp.get("query"), 80)
or _safe_slice(inp.get("prompt"), 80)
or ""
)
if isinstance(target, str) and len(target) > 120:
target = target[:120]
return name, target
def handle_claude(obj):
msg_type = obj.get("type")
ts = obj.get("timestamp", "")[:19]
if msg_type == "user":
msg = obj.get("message", {})
content = msg.get("content", "")
if isinstance(content, list):
for block in content:
if block.get("type") == "tool_result":
is_error = block.get("is_error", False)
status = "error" if is_error else "ok"
tool_use_id = block.get("tool_use_id")
matched = False
if tool_use_id:
for entry in pending_tools:
if entry.get("id") == tool_use_id:
entry["status"] = status
matched = True
break
if not matched:
# Fallback: assign to earliest pending entry without a status
for entry in pending_tools:
if not entry.get("status"):
entry["status"] = status
break
texts = [
c.get("text", "")
for c in content
if c.get("type") == "text" and len(c.get("text", "")) > 10
]
content = " ".join(texts)
if isinstance(content, str):
content = clean_text(content)
if len(content) > 15:
flush_tools()
print(f"[{ts}] [user] {content[:800]}")
print("---")
stats["user"] += 1
elif msg_type == "assistant":
msg = obj.get("message", {})
content = msg.get("content", [])
if isinstance(content, list):
has_text = False
for block in content:
if block.get("type") == "text":
text = clean_text(block.get("text", ""))
if len(text) > 20:
if not has_text:
flush_tools()
has_text = True
print(f"[{ts}] [assistant] {text[:800]}")
print("---")
stats["assistant"] += 1
elif block.get("type") == "tool_use":
name, target = summarize_claude_tool(block)
entry = {"ts": ts, "name": name, "target": target}
tool_id = block.get("id")
if tool_id:
entry["id"] = tool_id
pending_tools.append(entry)
def handle_codex(obj):
msg_type = obj.get("type")
ts = obj.get("timestamp", "")[:19]
if msg_type == "event_msg":
p = obj.get("payload", {})
if p.get("type") == "user_message":
text = p.get("message", "")
if isinstance(text, str) and len(text) > 15:
parts = text.split("</system_instruction>")
user_text = parts[-1].strip() if parts else text
if len(user_text) > 15:
flush_tools()
print(f"[{ts}] [user] {user_text[:800]}")
print("---")
stats["user"] += 1
elif p.get("type") == "exec_command_end":
# This is the deduplicated result — has status info
command = p.get("command", [])
cmd_str = command[-1] if command else ""
output = p.get("aggregated_output", "")
status = "ok"
if "Process exited with code " in output:
try:
code = int(output.split("Process exited with code ")[1].split("\n")[0])
if code != 0:
status = f"error(exit {code})"
except (IndexError, ValueError):
pass
if cmd_str:
# Shorten common patterns for readability
short_cmd = cmd_str[:120]
pending_tools.append({"ts": ts, "name": "exec", "target": short_cmd, "status": status})
elif msg_type == "response_item":
p = obj.get("payload", {})
if p.get("type") == "message" and p.get("role") == "assistant":
for block in p.get("content", []):
if block.get("type") == "output_text" and len(block.get("text", "")) > 20:
flush_tools()
print(f"[{ts}] [assistant] {block['text'][:800]}")
print("---")
stats["assistant"] += 1
# Skip function_call — exec_command_end is the deduplicated version with status
def handle_cursor(obj):
"""Cursor agent transcripts: role-based, no timestamps, same content structure as Claude."""
role = obj.get("role")
content = obj.get("message", {}).get("content", [])
if role == "user":
texts = []
for block in (content if isinstance(content, list) else []):
if block.get("type") == "text":
texts.append(block.get("text", ""))
text = clean_text(" ".join(texts))
if len(text) > 15:
flush_tools()
# No timestamps available in Cursor transcripts
print(f"[user] {text[:800]}")
print("---")
stats["user"] += 1
elif role == "assistant":
has_text = False
for block in (content if isinstance(content, list) else []):
if block.get("type") == "text":
text = block.get("text", "")
# Skip [REDACTED] placeholder blocks
if len(text) > 20 and text.strip() != "[REDACTED]":
if not has_text:
flush_tools()
has_text = True
print(f"[assistant] {text[:800]}")
print("---")
stats["assistant"] += 1
elif block.get("type") == "tool_use":
name = block.get("name", "unknown")
inp = block.get("input", {})
p = inp.get("path")
fp = inp.get("file_path")
target = (
(p if isinstance(p, str) else None)
or (fp if isinstance(fp, str) else None)
or _safe_slice(inp.get("command"), 120)
or _safe_slice(inp.get("pattern"), 200)
or _safe_slice(inp.get("glob_pattern"), 200)
or _safe_slice(inp.get("target_directory"), 200)
or ""
)
if isinstance(target, str) and len(target) > 120:
target = target[:120]
# No status info available — Cursor doesn't log tool results
pending_tools.append({"ts": "", "name": name, "target": target})
# Auto-detect platform from first few lines, then process all
detected = None
buffer = []
for line in sys.stdin:
line = line.strip()
if not line:
continue
buffer.append(line)
stats["lines"] += 1
if not detected and len(buffer) <= 10:
try:
obj = json.loads(line)
if obj.get("type") in ("user", "assistant"):
detected = "claude"
elif obj.get("type") in ("session_meta", "turn_context", "response_item", "event_msg"):
detected = "codex"
elif obj.get("role") in ("user", "assistant") and "type" not in obj:
detected = "cursor"
except (json.JSONDecodeError, KeyError):
pass
handlers = {"claude": handle_claude, "codex": handle_codex, "cursor": handle_cursor}
handler = handlers.get(detected, handle_codex)
for line in buffer:
try:
handler(json.loads(line))
except (json.JSONDecodeError, KeyError):
stats["parse_errors"] += 1
# Flush any remaining buffered tools
flush_tools()
print(json.dumps({"_meta": True, **stats}))
if args.output:
body = sys.stdout.getvalue()
sys.stdout = _original_stdout
with open(args.output, "w") as f:
f.write(body)
bytes_written = os.path.getsize(args.output)
print(json.dumps({"_meta": True, "wrote": args.output, "bytes": bytes_written, **stats}))