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Braintrust Tracing

Checked
parcadei·vlatest·devops·MIT

Braintrust Tracing reconstructs user actions within a session to understand decision-making and improve UX insights.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add parcadei/continuous-claude-v3 --skill braintrust-tracing -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

parcadei

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned parcadei/continuous-claude-v3 at d07ff4b06b.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
d07ff4b06b
Manifest
.claude/skills/braintrust-tracing/SKILL.md
Scanned
1 file, 342 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The braintrust-tracing skill enables AI agents to generate detailed execution logs and performance metrics directly within the Braintrust analytics platform. It provides visibility into agent reasoning steps, tool usage, and latency without requiring external instrumentation code.

When to use it

  • Debug complex multi-step workflows where standard logging is insufficient.
  • Analyze cost efficiency by tracking token consumption per interaction.
  • Monitor real-time performance bottlenecks during high-volume agent operations.
  • Generate audit trails for compliance or post-mortem analysis of failed tasks.

Key capabilities

  • Automatic ingestion of agent traces into the Braintrust dashboard.
  • Structured logging of reasoning chains and tool calls.
  • Real-time visualization of execution latency and success rates.
  • Support for custom metadata tagging during trace generation.

Example prompts

  • "Run this data extraction task and send a full trace to Braintrust for analysis."
  • "Execute the code generation workflow, ensuring all steps are logged with timestamps."
  • "Perform the customer support simulation and capture detailed metrics on response time and accuracy."

Tips & gotchas

Ensure your AI agent has write permissions to the configured Braintrust project ID before enabling this skill. Traces may increase storage costs if not filtered by session duration or error status in the dashboard settings.