Agent skill · Code Review & Quality

review-conversation

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.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill review-conversation --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Version: 3.0.0
Allowed tools: -Bash-Read
Path: skills/analysis/review-conversation/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Review Conversation Transparent conversation transcript viewer for SPARTA stress test sessions. Every turn, grade, and evaluation visible — no black boxes. ## Quick Start ```bash # 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>

What's inside
Steps it walks through
  1. Quick Start
  2. Commands
  3. Show Options
  4. What You See Per Turn
  5. What You See Per Session
  6. Data Sources
  7. Environment Variables
  8. Semantic Search via /memory (search, ingest)
  9. Workflow
  10. How It Works
  11. Graceful Degradation
  12. Agent-Human Collaboration (find)
  13. Find Filters
  14. Translation Guide for Agents
Ships with 1 file
  • metadata.json
Commands it runs
List available session files
Show summary of latest session file
Show full transcript of session #3
Show specific session by ID
Show only disagreements (student vs teacher)
Export to markdown for human annotation
NDJSON stream for automation
Summary table (paste in chat)
Single session compact view
Export all chart data
More from claude-skill-registry
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About this skill
What does the review-conversation skill do?

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.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill review-conversation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going