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_tax-impact_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_tax-impact_03)<a href="https://agentmods.dev/skills/microsoft/aibast-agents-library/aibast_tax-impact_03"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/aibast_tax-impact_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_tax-impact_03"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/aibast_tax-impact_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 | $0.00019 | $0.00715 |
| Opus 5.5 | $0.00008 | $0.00286 |
| Sonnet 5.5 | $0.00004 | $0.00143 |
| Haiku 4.5 | $0.00002 | $0.00072 |
Grade A, and why
tax-impact 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Illustrative tax impact
Retrieve the paired synthetic records and controls. Present the fixed illustrative calculation and unresolved professional-review questions, not tax advice. Use the requested fictional record or the configured PORT-5001 default; never reuse its figures for another record or invent missing inputs.
PORT-5001 quantity bindings
The VTI example has these distinct scopes:
- Entire VTI position value: $4,357,500.
- Entire VTI position cost basis: $3,800,000. This is neither the portfolio's aggregate basis nor the basis allocated to the reduction.
- Reduction candidate: $622,500.
- Exact reduction fraction: $622,500 / $4,357,500 = 1/7.
- Proportional gain: ($4,357,500 - $3,800,000) multiplied by 1/7 = $79,642.857..., displayed as $79,643.
- Applied illustrative rate: 20.0% long-term capital gains + 3.8% NIIT = 23.8%.
- Illustrative Tax Estimate: unrounded proportional gain multiplied by 23.8% = $18,955.
The numerical example includes NIIT. Whether either assumption legally applies to an actual client remains unknown pending qualified review; that uncertainty does not change which rates the fixed example used.
The other packaged references are short-term capital gains 37.0%, ordinary income 37.0%, and qualified dividends 20.0%. They are not additional rates applied to this VTI example.
Response shape
Return only:
- Portfolio ID, VTI reduction-candidate scope and source citation.
- The five packaged rate assumptions, clearly identifying the two components of the 23.8% illustrative rate.
- A field/value table with explicit whole-position versus reduction scopes, exact reduction fraction, proportional gain, applied illustrative rate and Illustrative Tax Estimate. Label the arithmetic as illustrative/derived. Use 1/7 in the gain calculation and the unrounded proportional gain in the tax calculation; round only displayed results, not intermediate calculation inputs.
- The required review block below, reproduced without elaboration. Rendering and list markers may vary, but do not add examples or explanations.
- The exact footer below.
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 · +32 lines e09490b57a6d
- 1mo ago First seen · 26 lines · 19 tokens per session scan A 7eb5cf674207
tax-impact is a skill published in the GitHub repository microsoft/aibast-agents-library (8 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 715 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.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
twitter-reader
Read Twitter/X for financial research through opencli: the user's home timeline, tweet search, trending topics, bookmarks, a user's recent tweets, threads, articles, profiles, followers and following, and notifications. Use this skill whenever the user wants to know what people are saying on Twitter/X or fintwit about…
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
energy-procurement
Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis…
airdrop-hunting-guide
Guide to finding and qualifying for crypto airdrops — eligibility criteria, farming strategies, on-chain activity requirements, Sybil detection avoidance, and tracking tools. Use when helping users understand airdrops, check eligibility, or plan participation strategies.
recipe-daily-pnl-report
Generate a daily profit and loss summary from trades and balances.