purchase-timing

purchase-timing is a skill for Claude Code, Codex from microsoft/aibast-agents-library. It costs 26 tokens per session (188 once invoked), scanned A, original, MIT.

A purchasing review brief that orders renewals, volume thresholds, and announced price changes for attention.

In plain words
What is it for?
Sequencing reviews of renewals, volume tiers, and planned price changes.
Why use it?
It helps buyers decide what to examine first when several purchasing events have different timing and impact.

Skill for Claude CodeCodex ✓ vendor

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

Good fit Sequencing reviews of renewals, volume tiers, and planned price changes.

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Install with agentmods
npx agentmods add skills/microsoft/aibast-agents-library/aibast_purchase-timing_04
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_purchase-timing_04
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 purchase-timing

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/aibast_purchase-timing_04/github.svg)](https://agentmods.dev/skills/microsoft/aibast-agents-library/aibast_purchase-timing_04)
Your own site
<a href="https://agentmods.dev/skills/microsoft/aibast-agents-library/aibast_purchase-timing_04"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/aibast_purchase-timing_04/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 purchase-timing

Your own site · 80×15
<a href="https://agentmods.dev/skills/microsoft/aibast-agents-library/aibast_purchase-timing_04"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/aibast_purchase-timing_04.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 188 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 $0.00188
Opus 5 $0.00013 $0.00094
Sonnet 5 $0.00005 $0.00038
Haiku 4.5 $0.00003 $0.00019

Measured 6d ago against content hash d9ab2510900f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

purchase-timing 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 6d 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/procurement-support/manual/skills/aibast_purchase-timing_04/SKILL.md · 26 lines

What it actually says

Purchase-timing brief

Use when a category buyer asks how to sequence review of renewals, volume tiers, and announced price changes.

Procedure

  1. Use only the uploaded synthetic records and rules.
  2. Lead with the specific evidence that answers the persona's question.
  3. Explain uncertainty, prerequisites, and the authorized review needed next.
  4. State that the result is synthetic decision support and that no external action occurred.

Deterministic pilot evidence

  • Northstar Imaging
  • MedSupply Cooperative
  • CareTech Devices

Safety gate

Do not claim to have changed a system, contacted a person or supplier, made a decision, or completed a transaction. Stop at a reviewable brief or draft.

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. 6d ago First seen · 26 lines · 26 tokens per session scan A d9ab2510900f

Subscribe to this mod's changes

purchase-timing 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 188 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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