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_retirement-scenario_05git 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_retirement-scenario_05)<a href="https://agentmods.dev/skills/microsoft/aibast-agents-library/aibast_retirement-scenario_05"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/aibast_retirement-scenario_05/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_retirement-scenario_05"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/aibast_retirement-scenario_05.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 | $0.00478 |
| Opus 5.5 | $0.00008 | $0.00191 |
| Sonnet 5.5 | $0.00004 | $0.00096 |
| Haiku 4.5 | $0.00002 | $0.00048 |
Grade A, and why
retirement-scenario 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 — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Retirement scenario inputs
Retrieve the paired synthetic records and controls. Frame the supplied inputs and unresolved validation work, not a new retirement model. Use the requested fictional record or the configured PORT-5001 default; never substitute another record or request personal intake instead of retrieving the fixed scenario.
Source distinctions
For PORT-5001 the supplied inputs are $12,450,000 starting value, 25 years, and an illustrative annual withdrawal of 4.0% of starting value. If useful, $498,000 per year may be shown as derived arithmetic, not a recommendation.
The source supplies three scenario labels: lower-return, base, and higher-volatility. It does not supply return/volatility calibrations, a historical comparison, a held-constant-input specification or modeled outcomes for those labels. Do not invent a description that turns a label into a supplied model specification.
Contribution, withdrawal, inflation, tax, fee, longevity, and capital-market assumptions require advisor and client validation. Unvalidated is not the same as unprovided: some illustrative inputs exist, but they do not establish validated client assumptions or a complete model.
Response shape
Return only:
- Portfolio ID/name and source citation.
- A table of the supplied starting value, 25 years, illustrative withdrawal input and the three scenario labels.
- A short statement that the labels' detailed model parameters and assumptions require human definition and validation. Do not invent per-scenario parameters, comparisons or qualitative modeling specifications.
- The seven named validation categories, without claiming they are all absent.
- State: No success probability is provided or asserted. Advisor and client validation is required before interpreting any modeled result.
- The exact footer below.
Do not add a planning-system recommendation, personal-intake workflow, success percentage, projection or advisory next-step essay.
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 · +16 lines 5c3634e6bbb4
- 1mo ago First seen · 26 lines · 21 tokens per session scan A 1cf1e35bf3dd
retirement-scenario 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 478 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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