gh-session-inventory

name	gh-session-inventory
description	Discover session files for a repo across Claude Code, Codex, and Cursor, and extract session metadata (timestamps, branch, cwd, size, platform). Invoked by session-research agents — not intended for direct user queries.
user-invocable	false
context	fork

Session inventory

Agent-facing primitive. Discover session files and emit session metadata as JSONL across Claude Code, Codex, and Cursor.

This skill exists so that agents researching session history do not need to know the layout of session stores on disk or the JSONL shapes of each platform. The scripts under scripts/ own that knowledge.

Arguments

Space-separated positional args:

1. <repo> — repo folder name (e.g., my-project). Used for directory matching in Claude Code and Cursor, and as the CWD filter for Codex sessions.
2. <days> — scan window in days (e.g., 7). Session files older than this are skipped.
3. <platform> (optional) — one of claude, codex, cursor. Omit to search all three.
4. --keyword K1[,K2,...] (optional) — filter to sessions whose full file content matches at least one of the comma-separated keywords (case-insensitive substring). Each emitted session line gains match_count and keyword_matches ({K: N, ...}) fields, and the _meta line gains files_matched. Use this instead of rolling per-file grep -l calls when ranking many sessions by topical relevance.

Execution

Run the discovery-plus-metadata pipeline from the skill's own scripts/ directory:

bash scripts/discover-sessions.sh <repo> <days> [--platform <platform>] \
  | tr '\n' '\0' \
  | xargs -0 python3 scripts/extract-metadata.py --cwd-filter <repo>

To filter by keyword, append --keyword K1[,K2,...] to the extract-metadata.py invocation. Keyword scanning reads the full file (not just the head metadata window), so it costs more than a metadata-only run — use it when you need to rank candidates by topic across many sessions, not as a default.

Return the raw stdout verbatim — one JSON object per session, then a final _meta line. Callers parse the JSONL directly, so do not paraphrase, reformat, or summarize.

If discovery finds no files, the pipeline still emits a clean _meta line (files_processed: 0). Return that as-is.

Output format

Each session line is a JSON object. Common fields across platforms:

• platform — claude, codex, or cursor
• file — absolute path to the session JSONL
• size — file size in bytes
• ts — session start timestamp (ISO 8601)
• session — session identifier

Platform-specific fields:

• Claude Code adds branch (git branch) and last_ts (last message timestamp).
• Codex adds cwd (working directory), source, cli_version, model, last_ts.
• Cursor has no in-file timestamps or metadata — ts is derived from file mtime and session from the containing directory name.

The final _meta line has files_processed, parse_errors, and optionally filtered_by_cwd (count of Codex sessions dropped by the CWD filter) and files_matched (count of sessions retained by the keyword filter, present only when --keyword was set).

When --keyword is set, each session line additionally carries:

• match_count — total occurrences across all keywords
• keyword_matches — per-keyword counts, e.g., {"middleware": 4, "auth": 12}

Sessions with match_count: 0 are excluded from output.

Error handling

If the discovery script errors (e.g., unreadable home directory, permission failure), let the error surface to the caller. Do not substitute git log, file listings, or other sources — this skill's contract is session metadata, nothing else.

If _meta reports parse_errors > 0, return the JSONL as-is. The caller decides how to handle partial data.