Braintrust analyze

Skill ulpi-io/plugin-marketplace/plugins/parcadei/skills/braintrust-analyze

Analyze Claude Code sessions via BraintrustFrom its SKILL.md

Install

npx -y skills add ulpi-io/plugin-marketplace --skill braintrust-analyze

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.7 KB, 648 tokens by cl100k_base, as published. Nobody here has run it

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)

What ships with it: 2 files

4.5 KB alongside SKILL.md

SKILL.md.bak2.7 KB
SKILL.v6.md1.8 KB

Gives 0 of the 12 instructions most research analysis skills give in 648 tokens

Counted across 1,063 of the 1,754 authors here whose files we hold, read 2026-08-07

Generate a markdown reportin 32 of 1063, across 23 files
Cite each claim's sourcein 30 of 1063, across 15 files
Define the ideal customer profilein 20 of 1063, across 2 files
Search for companies matching the criteriain 20 of 1063, across 2 files
Assign a fit score from one to tenin 20 of 1063, across 2 files
Analyze the codebase to understand the productin 19 of 1063, across 1 file
Ask clarifying questions about the value propositionin 19 of 1063, across 1 file
Look for signals of immediate needin 19 of 1063, across 1 file
Identify the target decision maker rolein 19 of 1063, across 1 file
Suggest a personalized contact strategyin 19 of 1063, across 1 file
Provide conversation starters for outreachin 19 of 1063, across 1 file
Format results in a scannable markdown templatein 19 of 1063, across 1 file

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.