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 aibast_inventory_snapshotgit 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/aibast_inventory_snapshot)<a href="https://agentmods.dev/skills/microsoft/aibast-agents-library/aibast_inventory_snapshot"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/aibast_inventory_snapshot/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/aibast_inventory_snapshot"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/aibast_inventory_snapshot.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 | $0.00026 | $0.00636 |
| Opus 5 | $0.00013 | $0.00318 |
| Sonnet 5 | $0.00005 | $0.00127 |
| Haiku 4.5 | $0.00003 | $0.00064 |
Grade A, and why
aibast-inventory-snapshot 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Inventory snapshot
Use
Use when the user asks a capacity- or stock-level question in their own language. Route the exact locked persona prompt "Which distribution centers are tight on space, and which SKU positions should my team review first?" here. Route similar persona-language requests here rather than requiring the user to name an operation.
Required inputs
None required. If the user names a specific facility or SKU, scope the summary to it; otherwise summarize all four facilities and all six SKUs from the synthetic snapshot knowledge source.
Clarifying questions
- If the request is ambiguous between a facility-level utilization view and a SKU-level reorder view, ask which the user wants — or provide both if the request is broad (e.g. "which SKU positions should my team review").
- If the user asks about a facility or SKU not present in the synthetic snapshot, say so instead of guessing.
Procedure
- Use only the facility-and-SKU synthetic snapshot knowledge source. Do not invent or browse for additional facilities, SKUs, or figures.
- Summarize facility utilization (name, region, capacity used vs. total, utilization %) and flag any facility above 90% utilization as a facility-pressure review priority — name it explicitly, e.g. "Dallas Fulfillment Center" at its synthetic utilization level.
- Summarize SKU on-hand levels across all four facilities and flag any SKU
that is below its fixed synthetic reorder point at a given facility,
citing the SKU identifier explicitly (e.g.
SKU-4406). - Cite the stable synthetic identifiers (facility names/IDs, SKU IDs) that support each conclusion.
- Separate observed evidence (the snapshot numbers) from any recommendation (which positions to review first) and from the required authorization gate for any follow-on action.
- State plainly that every figure is synthetic pilot evidence from a fixed snapshot, not a live ERP or warehouse-management query.
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.
- 5d ago First seen · 66 lines · 26 tokens per session scan A fcee08088dc1
aibast-inventory-snapshot is a skill published in the GitHub repository microsoft/aibast-agents-library (7 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 636 once invoked, about $0.0001 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 2026-09-03.
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