Agent skill · Audited from source

braintrust-analyze

skill · parcadei/continuous-claude-v3MIT licenceAudited 29 Oct 2026 · source 79ffdab59d4c

★ 3,945pushed 275 days ago
✓SAFEGrade B · 89/100 · 29 Oct 2026 · 79ffdab
3,945repo stars · whole parcadei/continuous-claude-v3

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 79ffdab59d4c and found no filesystem, network or shell access and no hard-coded secrets. What it does: Analyze Claude Code sessions via Braintrust

Ask an AI about this pageGChatGPTCClaudePPerplexityGeGeminiXGrok
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Cite this page

ModelsAtlas. “braintrust-analyze (parcadei/continuous-claude-v3)”. Retrieved 29 Oct 2026. https://modelsatlas.com/skills/parcadei/braintrust-analyze

Trust audit

Audit 0.4.1 · source read 29 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high1 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityWARN1
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (1)

Audit 0.4.1 · source sha 79ffdab59d4c · 29 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publisherparcadei GitHub userOwner of the repository this skill is read from
  • Source folderparcadei/continuous-claude-v3/.claude/skills/braintrust-analyzeThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict79ffdab59d4cA new audit runs when the source changes
  • Repository statusNot archivedLast push 275 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Analyze Claude Code sessions via Braintrust

---
name: braintrust-analyze
description: Analyze Claude Code sessions via Braintrust
---

# 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:

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

### Weekly Review
```bash
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)

Excerpt, first 2,727 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 79ffdab

Download folder ↗
uv run python -m runtime.harness scripts/braintrust_analyze.py --last-session
uv run python -m runtime.harness scripts/braintrust_analyze.py --sessions 5
uv run python -m runtime.harness scripts/braintrust_analyze.py --agent-stats
uv run python -m runtime.harness scripts/braintrust_analyze.py --skill-stats
uv run python -m runtime.harness scripts/braintrust_analyze.py --detect-loops
uv run python -m runtime.harness scripts/braintrust_analyze.py --replay <session-id>

Commands as the repository documents them: shown, never run by us. Our verdict covers commit 79ffdab59d4c only.

Works in which agents?

What its own text says, not a test

AgentStatusMore
Claude CodeMentioned in its text, not testedSkills for Claude Code · About Claude Code
“Mentioned” means the skill’s text names the agent. We have not run it there.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 79ffdab59d4c

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/parcadei/braintrust-analyze/badge.svg)](https://modelsatlas.com/skills/parcadei/braintrust-analyze/)

The badge shows our verdict and grade for this skill, and links back to this page. It changes when the audit does.

Similar skills

Add this badge to your README

[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/parcadei/braintrust-analyze/badge.svg)](https://modelsatlas.com/skills/parcadei/braintrust-analyze/)

Questions about braintrust-analyze

What does the braintrust-analyze skill do?
Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.
Is braintrust-analyze safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can braintrust-analyze access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does braintrust-analyze work with?
Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (79ffdab59d4c), read on 2026-10-29. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

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