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_spend-analysis_04git 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_spend-analysis_04)<a href="https://agentmods.dev/skills/microsoft/aibast-agents-library/aibast_spend-analysis_04"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/aibast_spend-analysis_04/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_spend-analysis_04"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/aibast_spend-analysis_04.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 | $0.00021 | $0.00919 |
| Opus 5.5 | $0.00008 | $0.00368 |
| Sonnet 5.5 | $0.00004 | $0.00184 |
| Haiku 4.5 | $0.00002 | $0.00092 |
Grade A, and why
spend-analysis 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 1mo 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spend and budget review
Use when a finance director asks which synthetic category is over budget or approaching a limit.
Procedure
- Use this uploaded
spend-analysisskill withaibast_procurement-agent-synthetic-records.mdandaibast_procurement-agent-rules-and-guardrails.md. Retrieve and cite both. - Use
available = budget - spent YTD - committed. Sum all category balances once, including negative values. Never subtract a category deficit again. Reconcile this with total budget minus total spent YTD minus total committed. Category balances are not freely transferable. - Use
(spent YTD + committed) / budgetfor utilization and the rules' status thresholds. Preserve existing budget exceptions. Technology is alreadyAt Risk; Software isOver Budget. Keep the snapshot unchanged. - The snapshot has no request-to-commitment mapping. Finance reconciliation must establish whether a request is already included in commitments. Do not infer inclusion from matching amounts or request status. Do not calculate hypothetical revised balances or utilization, or assert incremental budget effects without that mapping. Do not introduce request-specific projections or attribute a category deficit to a request.
- Do not invent periods, causal mappings or executed/reversible statuses. Report recorded trends only; do not extrapolate a quarter or forecast.
- For amount-based human review of a source-backed request amount, use the rule:
Choose the first threshold whose inclusive upper bound covers the request
amount. Retain its cap and the
Unlimited/CEO + Boardtier. Do not invent dollar-only lower bounds or serial approval chains. The selected approver must review and decide; do not promise approval. Do not invent an approver for unspecified spend. The SLA is a source label, not evidence that a review clock or approval started. It is not a promise of approval.
Required response contract
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.
- 1mo ago Changed · +65 lines f8645e3a3ef9
- 1mo ago First seen · 26 lines · 21 tokens per session scan A d7354c85c562
spend-analysis is a skill published in the GitHub repository microsoft/aibast-agents-library (8 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 919 once invoked, about $0.0001 per session on Opus 5.5. 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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