Braintrust Analysis

SkillAI & models

Lets your agent analyze past Claude Code coding sessions stored in Braintrust to review what was done.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Braintrust Analysis skill

About this capability

Analyze Claude Code sessions via Braintrust

What this skill tells your AI

The instructions your AI receives, as published by parcadei/continuous-claude-v3 in .claude/skills/braintrust-analyze/SKILL.md and read by ahel’s review.

Analyze your Claude Code sessions for patterns, issues, and insights using Braintrust tracing data.

When to Use

  • After completing a complex task (retrospective)
  • When debugging why something failed
  • Weekly review of productivity patterns
  • Finding opportunities to create new skills
  • Understanding token usage trends

Commands

Run from the project directory:

# Analyze last session - summary with tool/agent/skill breakdown
uv run python -m runtime.harness scripts/braintrust_analyze.py --last-session

# List recent sessions
uv run python -m runtime.harness scripts/braintrust_analyze.py --sessions 5

# Agent usage statistics (last 7 days)
uv run python -m runtime.harness scripts/braintrust_analyze.py --agent-stats

# Skill usage statistics (last 7 days)
uv run python -m runtime.harness scripts/braintrust_analyze.py --skill-stats

# Detect loops - find repeated tool patterns (>5 same tool calls)
uv run python -m runtime.harness scripts/braintrust_analyze.py --detect-loops

# Replay specific session - show full sequence of actions
uv run python -m runtime.harness scripts/braintrust_analyze.py --replay <session-id>

# Weekly summary - daily activity breakdown
uv run python -m runtime.harness scripts/braintrust_analyze.py --weekly-summary

# Token trends - usage over time
uv run python -m runtime.harness scripts/braintrust_analyze.py --token-trends

Options

  • --project NAME - Braintrust project name (default: agentica)

What You'll Learn

Session Analysis

  • Tool usage breakdown
  • Agent spawns (plan-agent, debug-agent, etc.)
  • Skill activations (/commit, /research, etc.)
  • Token consumption estimates

Loop Detection

Find sessions where the same tool was called repeatedly, which may indicate:

  • Stuck in a search loop
  • Inefficient approach
  • Opportunity for better tooling

Usage Patterns

  • Which agents you use most
  • Which skills get activated
  • Daily/weekly activity trends

Examples

Quick Retrospective

# What happened in my last session?
uv run python -m runtime.harness scripts/braintrust_analyze.py --last-session

Output:

## Session Analysis
**ID:** `92940b91...`
**Started:** 2025-12-24T01:31:05Z
**Spans:** 14

### Tool Usage
- Read: 4
- Bash: 2
- Edit: 2
...

Find Loops

uv run python -m runtime.harness scripts/braintrust_analyze.py --detect-loops

Weekly Review

uv run python -m runtime.harness scripts/braintrust_analyze.py --weekly-summary

Requirements

  • BRAINTRUST_API_KEY in ~/.claude/.env or project .env
  • Braintrust tracing enabled (via braintrust-claude-plugin)

Signals

GitHub stars
4k
Forks
300
Last commit
Jan 2026

Others that do the same job

Advanced
Catalog kind
skill
Gateway key
braintrust-analyze
Source
github.com/parcadei/continuous-claude-v3