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_incentive-optimization_03git 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_incentive-optimization_03)<a href="https://agentmods.dev/skills/microsoft/aibast-agents-library/aibast_incentive-optimization_03"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/aibast_incentive-optimization_03/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_incentive-optimization_03"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/aibast_incentive-optimization_03.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 | $0.00022 | $0.00073 |
| Opus 5.5 | $0.00009 | $0.00029 |
| Sonnet 5.5 | $0.00004 | $0.00015 |
| Haiku 4.5 | $0.00002 | $0.00007 |
Grade A, and why
margin-aware-incentive-scenarios 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 21d 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.
This is a copy
100% identical to margin-aware-incentive-scenarios — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Margin-aware incentive scenarios
Compare fixed synthetic cost impact, modeled lift, and net-value scenarios. Call every result an option for approval. Do not create a coupon, discount, gift, shipping benefit, reward, or purchase.
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.
- 21d ago First seen · 10 lines · 22 tokens per session scan A fb370236c838
margin-aware-incentive-scenarios is a skill published in the GitHub repository microsoft/aibast-agents-library (8 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 73 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to margin-aware-incentive-scenarios, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
asc-ppp-pricing
Set territory-specific pricing for subscriptions and in-app purchases using current asc setup, pricing summary, price import, and price schedule commands. Use when adjusting prices by country or implementing localized PPP strategies.
snaplii-cli
Snaplii for Claude: buy discounted gift cards across 500+ brands with vouchers and up to 10% cashback, check the Snaplii Cash balance, pay bills (Canada) and send money to a phone number, through the snaplii MCP tools or the snaplii CLI, spending only the user's prepaid Snaplii Cash within the spending limit they set.…
stripe
Stripe API integration with managed OAuth. Manage customers, subscriptions, invoices, products, prices, and payments. Use this skill when users want to process payments, manage billing, or handle subscriptions with Stripe. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway).…
ai-slop
Operational rubric that turns "don't make AI slop" into observable properties, severity levels, evidence requirements, and repair actions for interface design. Use as the reference rubric when building or reviewing marketing sites, product interfaces, dashboards, portfolios, or e-commerce pages, especially alongside…
shopify-admin-chargeback-watchlist-tagger
Identifies customers with disputed or charged-back orders and tags their customer record for proactive review on future orders.
shopify-admin-payout-reconciliation
Read-only: reconciles Shopify Payments payouts against the order transactions that funded them and flags amount discrepancies.