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_rebalance_recommendationgit 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_rebalance_recommendation)<a href="https://agentmods.dev/skills/microsoft/aibast-agents-library/aibast_rebalance_recommendation"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/aibast_rebalance_recommendation/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_rebalance_recommendation"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/aibast_rebalance_recommendation.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 | $0.00025 | $0.00684 |
| Opus 5 | $0.00013 | $0.00342 |
| Sonnet 5 | $0.00005 | $0.00137 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
aibast-rebalance-recommendation 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 7d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rebalancing review
Use
Use when the user asks a forecast-versus-stock question in their own language. Route the exact locked persona prompt "Where do we have forecast-relative shortages or excess that deserve a rebalancing review?" 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 SKU or facility, scope the analysis to it; otherwise evaluate all six SKUs across all four facilities.
Clarifying questions
- If the user wants only deficits, only surpluses, or both, ask if unclear from phrasing (default to both when the request is broad).
- If the user asks whether a SKU is "obsolete," clarify that this skill reports a lifecycle-risk signal only, not an obsolescence declaration.
Procedure
- Use only the facility-and-SKU synthetic snapshot and the cost-and-review rules knowledge sources. Do not invent additional SKUs, facilities, or classifications.
- For each SKU and facility, compute on-hand minus forecast. Treat a delta beyond ±200 units as material: a positive material delta is a SURPLUS, a negative material delta is a DEFICIT, and anything else is Balanced.
- Report each material SURPLUS or DEFICIT with the SKU identifier
(e.g.
SKU-4402), facility, on-hand, forecast, and delta. - Report the fixed synthetic portfolio classification (velocity, strategic
value, lifecycle risk) for SKUs with a material imbalance, calling out
any classified
SLOW-MOVINGexplicitly (e.g.SKU-4402isSLOW-MOVING). - For any SKU with
SLOW-MOVINGvelocity andELEVATEDlifecycle risk, recommend validating demand and reviewing vendor-return or controlled disposition eligibility, and explicitly state that this is a review flag requiring authorized lifecycle review and source-system evidence, not an obsolescence declaration. - Separate observed evidence (deltas and classifications) from recommendations (what to review) from the required authorization gate.
- State plainly that every figure and classification is synthetic pilot evidence from a fixed snapshot.
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.
- 7d ago First seen · 69 lines · 25 tokens per session scan A d64ff14aa631
aibast-rebalance-recommendation is a skill published in the GitHub repository microsoft/aibast-agents-library (7 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 684 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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