review-conversation

name	review-conversation
description	Review SPARTA conversation transcripts and grading with full transparency. Use when asked to review conversations, show transcripts, compare student vs teacher grades, inspect persona evaluations, or export sessions for human annotation. Replaces the black-box opacity of raw JSONL session files with rich turn-by-turn rendering including entity gate decisions, QRA citations, self-grade iterations, and persona evaluation reasoning.
allowed-tools	["Bash","Read"]
triggers	["review conversation","show conversation transcript","compare student teacher grades","inspect persona evaluation","export conversation markdown","conversation disagreements","review sparta session","find conversation where","show me a conversation","which conversations"]
metadata	{"short-description":"Transparent conversation transcript viewer with grading","version":"3.0.0"}
provides	["review-conversation"]
composes	["sparta-stress-test","memory","task-monitor","create-figure","analytics"]

Review Conversation

Transparent conversation transcript viewer for SPARTA stress test sessions. Every turn, grade, and evaluation visible — no black boxes.

Quick Start

# List available session files
./run.sh files

# Show summary of latest session file
./run.sh list

# Show full transcript of session #3
./run.sh show -n 3

# Show specific session by ID
./run.sh show -i stress_20260222_175146

# Show only disagreements (student vs teacher)
./run.sh compare

# Export to markdown for human annotation
./run.sh export -o review.md

# NDJSON stream for automation
./run.sh json-stream

Commands

Command	Description
files	List available session JSONL files with sizes and counts
list [file]	Summary table: all sessions with grades, agreement, resolution
show [file]	Full transcript with turn-by-turn metadata and grading
compare [file]	Filter to only student-teacher disagreements
export [file]	Export sessions as annotated markdown
json-stream [file]	NDJSON output with merged shadow/delta data
find [file]	Structured search with filters + free-text (agent-human collaboration)
search <query>	Semantic search via /memory recall (BM25 + embedding + multi-hop)
ingest [file]	Learn session summaries to /memory for semantic search
brief [file]	Plain markdown for in-chat display (no Rich/ANSI)
flow [file]	Mermaid conversation flow diagrams with inline grading metadata