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/copilot-instructionsgit clone --depth 1 https://github.com/microsoft/aibast-agents-libraryWhat 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 | $0.02251 | $0.02251 |
| Opus 5 | $0.01125 | $0.01125 |
| Sonnet 5 | $0.00450 | $0.00450 |
| Haiku 4.5 | $0.00225 | $0.00225 |
Grade C, and why
aibast-agents-library copilot-instructions.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 3d 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.
curl -s localhost:7071/health | python3 -m json.tool 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copilot Instructions — AIBAST Agents Library
Architecture
AIBAST Agents Library is the stable Microsoft downstream for the RAPP stack (see CONSTITUTION.md for architectural principles):
- Brainstem (
rapp_brainstem/) — The core. A local-first Flask server (Python 3.11) using GitHub Copilot's API for LLM inference. No API keys needed — justgh auth login. This is where all development happens. - Spinal Cord (
azuredeploy.json,deploy.sh) — Azure deployment. ARM template creates Function App, Azure OpenAI, Storage, App Insights. All Entra ID auth. - Nervous System (
MSFTAIBASMultiAgentCopilot_*.zip) — Power Platform solution for Copilot Studio. Connects the Azure Function to Teams and M365 Copilot.
The repository also owns agents/@aibast-agents-library/, registry.json, build_registry.py, rapp_ai/, the production guide, and Microsoft governance files. These are not upstream Grail mirrors.
Product Golden Path
Read beta/GOLDEN_PATH.md before changing the beta.
The beta is a chat-driven educational tool: users learn AI by watching GitHub
Copilot build, hotload, run, test, explain, screenshot, and record real RAPP
capabilities. External AIs can visibly drive the same Brainstem or Brain Surgeon
chat to keep users unstuck.
Preserve these invariants:
- unchanged Grail
brainstem.pyand exact RAPP/1 chat wire; - global + routed agents composed into isolated hardlinked
AGENTS_PATHworkers; - visible Explorer, Copilot Brain Surgeon, Brainstem execution, and evidence;
- VS Code/terminal remain optional expert surfaces;
- portable skills promote into Hippocampus and Microsoft downstream hosts without rewriting the agent or chat contract.
Brainstem internals
brainstem.py is the single-file server containing auth, agent orchestration, the tool-calling loop, and all HTTP endpoints.
Tool-calling loop (/chat, /chat/stream): Builds messages from soul + conversation history, then runs up to 3 rounds of LLM calls. Each round checks for tool_calls, executes matching agents via run_tool_calls(), appends tool results, and loops. The streaming route returns server-sent events and does not replay an accepted request after interruption.
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.
- 3d ago First seen · 153 lines · 2,251 tokens per session scan C 951dc982d885
aibast-agents-library copilot-instructions.md is an instructions file published in the GitHub repository microsoft/aibast-agents-library (7 stars, last pushed 3d ago), licensed MIT. It adds 2,251 tokens to every session, about $0.0113 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
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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.