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 skills add microsoft/aibast-agents-library --skill generate-demogit 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/skills/microsoft/aibast-agents-library/generate-demo)<a href="https://agentmods.dev/skills/microsoft/aibast-agents-library/generate-demo"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/generate-demo/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/microsoft/aibast-agents-library/generate-demo"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/generate-demo.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00000 | $0.01455 |
| Opus 5.5 | $0.00000 | $0.00582 |
| Sonnet 5.5 | $0.00000 | $0.00291 |
| Haiku 4.5 | $0.00000 | $0.00145 |
Grade A, and why
generate-demo scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
const response = await fetch(url); How it starts
The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Demo Skill
Generate realistic static demo endpoints for simulating APIs like CRM, support tickets, etc.
Usage
/generate-demo <scenario> [description]
Examples:
/generate-demo crm
/generate-demo crm "enterprise software sales with 5 active deals"
/generate-demo support "IT helpdesk with mixed priority tickets"
/generate-demo inventory "warehouse with low stock alerts"
Supported Scenarios
| Scenario | Description |
|---|---|
crm |
Sales CRM with deals, contacts, pipeline stages |
support |
Help desk with tickets, priorities, agents |
inventory |
Product inventory with stock levels |
calendar |
Meeting scheduler with appointments |
custom |
Describe your own scenario |
Execution
Step 1: Parse Input
scenario = first argument (crm, support, inventory, calendar, custom)
description = remaining text (optional context for generation)
Step 2: Generate Demo Data
Based on scenario type, generate realistic JSON data:
CRM Schema:
{
"assistant_response": "## Your Sales Pipeline\n\n| Deal | Company | Value | Stage | Close Date |\n|------|---------|-------|-------|------------|\n...",
"voice_response": "You have X active deals worth $Y total.",
"agent_logs": "[Demo Mode] CRM Agent - Retrieved pipeline data",
"user_guid": "demo-user-crm",
"mode": "demo",
"data": {
"deals": [
{
"id": "deal_001",
"name": "Enterprise License",
"company": "Acme Corp",
"value": 50000,
"stage": "negotiation",
"probability": 75,
"close_date": "2025-02-15",
"contact": "Jane Smith",
"notes": "Final pricing review scheduled"
}
],
"summary": {
"total_deals": 5,
"total_value": 185000,
"weighted_value": 125000,
"stages": {
"prospecting": 1,
"qualification": 1,
"proposal": 1,
"negotiation": 2
}
}
}
}
Support Schema:
{
"assistant_response": "## Open Tickets\n\n| ID | Subject | Priority | Status | Assigned |\n|----|---------|----------|--------|----------|\n...",
"voice_response": "You have X open tickets, Y are high priority.",
"agent_logs": "[Demo Mode] Support Agent - Retrieved ticket queue",
"user_guid": "demo-user-support",
"mode": "demo",
"data": {
"tickets": [
{
"id": "TKT-1234",
"subject": "Login issue after password reset",
"priority": "high",
"status": "open",
"created": "2025-01-30T10:30:00Z",
"customer": "[email protected]",
"assigned_to": "Agent Sarah",
"category": "authentication"
}
],
"summary": {
"total_open": 12,
"high_priority": 3,
"avg_response_time": "2.5 hours"
}
}
}
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 Changed b02e114f4286
- 2mo ago First seen · 207 lines · 0 tokens per session scan A ab6bab04b1a2
generate-demo is a skill published in the GitHub repository microsoft/aibast-agents-library (8 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,455 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
generate-demo compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| generate-demomicrosoft/aibast-agents-library | Skill | 8 | yesterday | MIT | A | 0 | Claude Code |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 69k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| azure-mgmt-botservice-dotnetmicrosoft/skills | Skill | 3.2k | 2d ago | MIT | A | 78 | Claude Code |
| fastapi-router-pymicrosoft/skills | Skill | 3.2k | 2d ago | MIT | A | 46 | Claude Code |
| api-designericrisco/rsc-harness | Skill | 555 | 4d ago | MIT | A | 105 | Claude Code, Codex |
| migrate-segw-to-raparc-mcp/arc-1 | Skill | 253 | yesterday | MIT | A | 106 | Claude Code |
| telnyx-messaging-hosted-curlteam-telnyx/ai | Skill | 225 | today | MIT | A | 45 | Claude Code |