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Trace Claude Code

CommunityPopular
parcadei
trace-claude-code

Automatically trace Claude Code conversations to Braintrust for observability. Captures sessions, conversation turns, and tool calls as hierarchical traces.

Overview

Publisherparcadei
RepositoryContinuous-Claude-v3
Skill nametrace-claude-code
Stars
3.9K
Forks
303
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by parcadei on GitHub. Read the source before you install it.

Installation

Install the Trace Claude Code AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/plugins/braintrust-tracing/skills/trace-claude-code
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git /tmp/Continuous-Claude-v3
mkdir -p .claude/skills
cp -r /tmp/Continuous-Claude-v3/.claude/plugins/braintrust-tracing/skills/trace-claude-code .claude/skills/trace-claude-code
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Trace Claude Code in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Trace Claude Code on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Trace Claude Code is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Trace Claude Code to Braintrust

Automatically send Claude Code conversations to Braintrust for tracing and observability. Get full visibility into your AI coding sessions with hierarchical traces showing sessions, turns, and every tool call.

What you get

Claude Code Session (root trace)
├── Turn 1: "Add error handling"
│   ├── Read: src/app.ts
│   ├── Edit: src/app.ts
│   └── Response: "I've added try-catch..."
├── Turn 2: "Now run the tests"
│   ├── Terminal: npm test
│   └── Response: "All tests pass..."
└── Turn 3: "Great, commit this"
    ├── Terminal: git add .
    ├── Terminal: git commit -m "..."
    └── Response: "Changes committed..."

How it works

Four hooks capture the complete workflow:

HookWhat it captures
SessionStartCreates root trace when you start Claude Code
PostToolUseCaptures every tool call (file reads, edits, terminal commands)
StopCaptures conversation turns (your message + Claude's response)
SessionEndLogs session summary when you exit

Quick setup

Run the setup script in any project directory where you want tracing:

bash
bash /path/to/skills/trace-claude-code/setup.sh

The script prompts for your API key and project name, then configures all hooks automatically.

Manual setup

Prerequisites

Configuration

Create .claude/settings.local.json in your project directory:

json
{
  "hooks": {
    "SessionStart": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "bash /path/to/hooks/session_start.sh"
          }
        ]
      }
    ],
    "PostToolUse": [
      {
        "matcher": "*",
        "hooks": [
          {
            "type": "command",
            "command": "bash /path/to/hooks/post_tool_use.sh"
          }
        ]
      }
    ],
    "Stop": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "bash /path/to/hooks/stop_hook.sh"
          }
        ]
      }
    ],
    "SessionEnd": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "bash /path/to/hooks/session_end.sh"
          }
        ]
      }
    ]
  },
  "env": {
    "TRACE_TO_BRAINTRUST": "true",
    "BRAINTRUST_API_KEY": "sk-...",
    "BRAINTRUST_CC_PROJECT": "my-project"
  }
}

Replace /path/to/hooks/ with the actual path to this skill's hooks directory.

Environment variables

VariableRequiredDescription
TRACE_TO_BRAINTRUSTYesSet to "true" to enable tracing
BRAINTRUST_API_KEYYesYour Braintrust API key
BRAINTRUST_CC_PROJECTNoProject name (default: claude-code)
BRAINTRUST_CC_DEBUGNoSet to "true" for verbose logging

Viewing traces

After running Claude Code with tracing enabled:

  1. Go to braintrust.dev
  2. Navigate to your project (e.g., claude-code)
  3. Click Logs to see all traced sessions

Each trace shows:

  • Session root: The overall Claude Code session
  • Turns: Each conversation exchange (user input → assistant response)
  • Tool calls: Individual operations (file reads, edits, terminal commands)

Trace structure

Traces are hierarchical:

  • Session (root span)

    • span_attributes.type: "task"
    • metadata.session_id: Unique session identifier
    • metadata.workspace: Project directory
  • Turn (child of session)

    • span_attributes.type: "llm"
    • input: User message
    • output: Assistant response
    • metadata.turn_number: Sequential turn number
  • Tool call (child of turn or session)

    • span_attributes.type: "tool"
    • input: Tool input (file path, command, etc.)
    • output: Tool result
    • metadata.tool_name: Name of the tool used

Troubleshooting

No traces appearing

  1. Check hooks are running:

    bash
    tail -f ~/.claude/state/braintrust_hook.log
  2. Verify environment variables in .claude/settings.local.json:

    • TRACE_TO_BRAINTRUST must be "true"
    • BRAINTRUST_API_KEY must be valid
  3. Enable debug mode:

    json
    {
      "env": {
        "BRAINTRUST_CC_DEBUG": "true"
      }
    }

Permission errors

Make hook scripts executable:

bash
chmod +x /path/to/hooks/*.sh

Missing jq command

Install jq:

  • macOS: brew install jq
  • Ubuntu/Debian: sudo apt-get install jq

State issues

Reset the tracing state:

bash
rm ~/.claude/state/braintrust_state.json

Hook logs

View detailed hook execution logs:

bash
# Follow logs in real-time
tail -f ~/.claude/state/braintrust_hook.log

# View last 50 lines
tail -50 ~/.claude/state/braintrust_hook.log

# Clear logs
> ~/.claude/state/braintrust_hook.log

File structure

hooks/
├── common.sh          # Shared utilities (logging, API, state)
├── session_start.sh   # Creates root trace span
├── post_tool_use.sh   # Captures tool calls
├── stop_hook.sh       # Captures conversation turns
└── session_end.sh     # Finalizes trace

Alternative: SDK integration

For programmatic use with the Claude Agent SDK, use the native Braintrust integration:

typescript
import { initLogger, wrapClaudeAgentSDK } from "braintrust";
import * as claudeSDK from "@anthropic-ai/claude-agent-sdk";

initLogger({
  projectName: "my-project",
  apiKey: process.env.BRAINTRUST_API_KEY,
});

const { query, tool } = wrapClaudeAgentSDK(claudeSDK);

See Braintrust Claude Agent SDK docs for details.

Frequently asked questions

What does the Trace Claude Code AI skill do?

Automatically trace Claude Code conversations to Braintrust for observability. Captures sessions, conversation turns, and tool calls as hierarchical traces.

Why use Trace Claude Code on TypingMind?

Because you install it once and use it with any model. Trace Claude Code is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Trace Claude Code in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/plugins/braintrust-tracing/skills/trace-claude-code. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Trace Claude Code?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Trace Claude Code?

As many as you like. As long as a model supports skills, you can use Trace Claude Code with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Trace Claude Code AI skill free?

Yes. It is published on GitHub by parcadei under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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