Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/braintrustdata/braintrust-claude-plugin/agents-mdgit clone --depth 1 https://github.com/braintrustdata/braintrust-claude-pluginWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00357 | $0.00357 |
| Opus 5 | $0.00179 | $0.00179 |
| Sonnet 5 | $0.00071 | $0.00071 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
braintrust-claude-plugin AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Agent guidelines
About this repository
This is the Braintrust Claude Code plugin marketplace - a repository that distributes Claude Code plugins for Braintrust integration.
Structure
claude-plugin/
├── .claude-plugin/
│ └── marketplace.json # Marketplace catalog (lists available plugins)
├── plugins/
│ ├── braintrust/ # Plugin: Braintrust evaluation & logging
│ └── trace-claude-code/ # Plugin: Session tracing to Braintrust
└── evals/ # Evaluation suite for testing the plugins
Plugins
| Plugin | Description |
|---|---|
braintrust |
Enables AI agents to use Braintrust for LLM evaluation, logging, and observability. Includes MCP server config and the troubleshoot-braintrust-mcp skill. |
trace-claude-code |
Forwards Claude Code lifecycle hooks to bt trace hook --source claude-code; the shared daemon builds and delivers traces. |
Terminology
- Marketplace: A repository with a
marketplace.jsonthat catalogs multiple plugins for distribution - Plugin: An installable unit with its own
.claude-plugin/plugin.jsonmanifest - Skill: A capability within a plugin (e.g.,
troubleshoot-braintrust-mcpis a skill in thebraintrustplugin)
Style conventions
- Use sentence case for all text (capitalize first word only, except for proper nouns and code references)
- Keep criteria concise and specific
- Reference exact function/method names with proper casing (e.g.,
init_dataset(),Eval(),Factuality)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 37 lines · 357 tokens per session scan A 6f61da683cca
braintrust-claude-plugin AGENTS.md is an instructions file published in the GitHub repository braintrustdata/braintrust-claude-plugin (20 stars, last pushed 20d ago), licensed MIT. It adds 357 tokens to every session, about $0.0018 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
openinference AGENTS.md
Instructions for Arize-ai/openinference, covering claude.md, repository overview, repository structure, essential commands by language and python.
workshop AGENTS.md
Instructions for raindrop-ai/workshop, covering agent guide, did the user ask you to use workshop? (the common case), did the user ask you to develop workshop?, commands and how to work.
ai-viewer AGENTS.md
Instructions for netdata/ai-viewer, covering ai-viewer, goals, phase: development (active — started 2026-06-14), what's overridden during development and what stays in force during development.
agentinsight-sdk-python AGENTS.md
Instructions for AgentInsight/agentinsight-sdk-python, covering agentinsight python sdk — 智能体执行规则, 1. 项目基本信息, 1.1 技术栈, 1.2 项目关键特征 and 1.3 项目目录结构.
agentreceipt AGENTS.md
Instructions for ametel01/agentreceipt, covering agentreceipt repository instructions, instruction version, pilot baseline capture, agent skills and issue tracker.
openinference CLAUDE.md
Instructions for Arize-ai/openinference, a project described as: OpenTelemetry Instrumentation for AI Observability.