asset-maintenance-forecast-work-order-plan

asset-maintenance-forecast-work-order-plan is a skill for Claude Code, Codex from microsoft/aibast-agents-library. It costs 26 tokens per session (185 once invoked), scanned A, original, MIT.

A read-only maintenance planning workflow that drafts a queue of proposed work orders from synthetic equipment records.

In plain words
What is it for?
Preparing an approval queue for maintenance, such as reviewing a substation transformer, without changing a live system.
Why use it?
It separates planning from actual work-order creation and makes the evidence, uncertainty, and required approval clear.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit Preparing an approval queue for maintenance, such as reviewing a substation transformer, without changing a live system.

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Install with agentmods
npx agentmods add skills/microsoft/aibast-agents-library/aibast_work-order-plan
About the project

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.

microsoft/aibast-agents-library · 7 stars · on GitHub

Install

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.

Any agent
npx skills add microsoft/aibast-agents-library --skill aibast_work-order-plan
Clone the repo
git clone --depth 1 https://github.com/microsoft/aibast-agents-library

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for asset-maintenance-forecast-work-order-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/aibast_work-order-plan/github.svg)](https://agentmods.dev/skills/microsoft/aibast-agents-library/aibast_work-order-plan)
Your own site
<a href="https://agentmods.dev/skills/microsoft/aibast-agents-library/aibast_work-order-plan"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/aibast_work-order-plan/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.

agentmods 80×15 button for asset-maintenance-forecast-work-order-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/microsoft/aibast-agents-library/aibast_work-order-plan"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/aibast_work-order-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 185 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00026 $0.00185
Opus 5 $0.00013 $0.00093
Sonnet 5 $0.00005 $0.00037
Haiku 4.5 $0.00003 $0.00018

Measured 9d ago against content hash c0cedf1259e1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

asset-maintenance-forecast-work-order-plan 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 9d 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.

solutions/asset-maintenance-forecast/manual/skills/aibast_work-order-plan/SKILL.md · 28 lines

What it actually says

Asset Maintenance Forecast Agent: Work Order Plan

Route

Use the work_order_plan operation. The canonical persona prompt is:

Draft the maintenance queue for AST-X002, but do not create any work orders.

Procedure

  1. Read the synthetic knowledge records and controls.
  2. Call or reproduce only the work_order_plan operation behavior.
  3. Lead with source-backed identifiers and evidence.
  4. State uncertainty and the required authorized review.
  5. End with the operation's no-write boundary.

Required evidence

  • Substation Transformer B-12
  • Draft approval queue
  • No work order

Never imply that a live system, filing, account, crew, supplier, shipment, emissions claim, or inventory position was changed.

Changes

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.

  1. 9d ago First seen · 28 lines · 26 tokens per session scan A c0cedf1259e1

Subscribe to this mod's changes

asset-maintenance-forecast-work-order-plan is a skill published in the GitHub repository microsoft/aibast-agents-library (7 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 185 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 2026-08-31.

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