mcpbeat

Braintrust Analyze

parcadei/braintrust-analyze

Analyze Claude Code sessions via Braintrust

2k tokens
context cost
the whole folder, loaded on every use
3
files
instructions only
0
copies elsewhere
how many repositories repackaged it
3880
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/parcadei/Continuous-Claude-v3 --skill braintrust-analyze

The instruction itself

13 sections, as written by the author

Braintrust Analysis

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)

How to use it

Copy the folder

Take parcadei/braintrust-analyze from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.