# Timeline Ghostwriter

> Parse Ghostwriter oplog CSV exports into timeline entries.

- Skill: `specterops/timeline-ghostwriter` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add specterops/timeline-ghostwriter`
- Raw SKILL.md: https://api.skillmd.com/api/skills/specterops/timeline-ghostwriter/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: specterops (https://skillmd.com/u/specterops)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/specterops/timeline-ghostwriter

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# Timeline Ghostwriter Parser

Trigger on Ghostwriter CSV oplog exports for timeline ingestion.

## Input Contract
- Directory `input/gw_oplog/` with `.csv` files exported from Ghostwriter operation logs.

## Output
- Write `output/gw_entries.json` with entries (timestamp, source, operator, action, details, command, output, source_ip, dest_ip, tool, user_context, raw_entry).
- Include metadata with `source_type = "ghostwriter"`, processing stats, and errors.

## Workflow
1. Discover CSV files and use `csv.Sniffer` to detect delimiters.
2. Validate required columns (`timestamp`, `operator`, `description`) before parsing.
3. Normalize Ghostwriter timestamps (support ISO 8601, US/EU formats) to `YYYY/MM/DD HH:MM:SS UTC`.
4. Map CSV columns to the standard schema, dedupe entries by `oplog_id`, and record the versioned `source_file`.
5. Capture context such as tool, command, source/dest IPs, and comments.
6. Write `metadata` including counts, files processed, and any CSV parsing issues.

## Notes
- Skip empty rows and rows missing both timestamp and description.
- Provide example timestamp formats and CSV validation warnings.