AIBAST Agents Library is a collection of industry-focused AI agent templates accompanied by a local server that connects agents to GitHub Copilot for language-model inference. It helps developers create and run tool-using agents and isolated project environments, with an optional cloud-backed path for persistent memory. The catalogue entries provide the repository's agents, skills, commands, hooks, and instructions.
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/microsoft/aibast-agents-library/claude-mdgit clone --depth 1 https://github.com/microsoft/aibast-agents-libraryWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/microsoft/aibast-agents-library/claude-md)<a href="https://agentmods.dev/instructions/microsoft/aibast-agents-library/claude-md"><img src="https://agentmods.dev/badge/instructions/microsoft/aibast-agents-library/claude-md.svg" alt="Measured on agentmods" height="20"></a>What 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 | $0.02019 | $0.02019 |
| Opus 5 | $0.01009 | $0.01009 |
| Sonnet 5 | $0.00404 | $0.00404 |
| Haiku 4.5 | $0.00202 | $0.00202 |
Grade C, and why
aibast-agents-library CLAUDE.md scanned grade C with 2 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 4d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
**`main` is production.** The install one-liners (`curl ... install.sh | bash`) pull from `main`. Users get whatever is on `main`. Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s localhost:7071/health | python3 -m json.tool How it starts
The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What This Is
AIBAST Agents Library is the stable Microsoft downstream for the RAPP (Rapid Agent Prototype Pattern) stack. It combines the local Brainstem server, an industry agent-template catalog, the RAPP production guide, Azure deployment assets, and a Power Platform solution.
Philosophy: "engine, not experience" — this is infrastructure, not a consumer product. See CONSTITUTION.md for scope rules and governance.
Product Golden Path
The durable beta product direction is documented in
beta/GOLDEN_PATH.md:
- RAPP accelerates learning AI and teaching AI immediately after learning it.
- The resulting skill is a portable single-file agent/RAPP capability that can follow the user for life.
- Chat is the control surface.
- GitHub Copilot Brain Surgeon teaches by doing and visibly drives the beta.
- An external AI can take over the visible Brainstem or Surgeon chat to keep a user unstuck, then hand control back.
- The beta combines global and routed agents in isolated hardlinked
AGENTS_PATHworkers around an unchanged Grail kernel. - Screenshots, recordings, source Explorer, tool logs, and real
/chattests make the learning observable. - Proven RAPP/1 artifacts promote into Hippocampus and the appropriate Microsoft downstream platform without rewriting the skill or wire.
Treat this as a product-lifetime invariant. Do not replace the visible
teach-by-doing loop with hidden automation, require VS Code for the golden path,
or add beta routing fields/endpoints to brainstem.py.
Repository Layout
rapp_brainstem/— The core brainstem server (seerapp_brainstem/CLAUDE.mdfor deep internals)agents/@aibast-agents-library/— AIBAST-owned industry templates and stacks; never replace this tree from Grailregistry.json,build_registry.py— generated catalog and its AIBAST-owned builderinstall.sh,install.ps1,install.cmd— One-liner installers (Brainstem path). These are sacred — any change must be tested end-to-end on a fresh machine.community_rapp/— Hippocampus (Tier 2) installer scripts. Parallel path, no dependency on brainstem.rapp_ai/— AIBAST-owned Azure Functions implementation and documentationazuredeploy.json,deploy.sh,deploy.ps1— Azure ARM deployment (Tier 2 cloud)MSFTAIBASMultiAgentCopilot_*.zip— Power Platform solution for Copilot Studio (Tier 3)index.html— AIBAST Agents Library landing page served at microsoft.github.io/aibast-agents-librarylibrary.html— browsable agent catalog (search, vertical filter, per-agent and per-stack install commands); readsregistry.jsonmetrics.html,scripts/build_metrics.py,state/metrics*.json— public metrics dashboard and its daily snapshotdocs/rapp-guide.html— Restored 14-step RAPP production methodologydocs/— Quick start, tutorial, production guide, and installer mirrorsskill.md— Moltbook-pattern onboarding skill (YAML frontmatter, autonomous steps, pause points)
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.
- 4d ago First seen · 139 lines · 2,019 tokens per session scan C 6e969da95719
aibast-agents-library CLAUDE.md is an instructions file published in the GitHub repository microsoft/aibast-agents-library (7 stars, last pushed today), licensed MIT. It adds 2,019 tokens to every session, about $0.0101 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.