pipeline-staffing-recommendation

pipeline-staffing-recommendation is a skill for Claude Code, Codex from microsoft/aibast-agents-library. It costs 17 tokens per session (70 once invoked), scanned A, original, MIT.

A staffing guide that matches fictional consultants to possible project needs using both seniority level and skills. It also shows project probability and start date, while flagging unmatched people.

In plain words
What is it for?
It is for comparing bench consultants with pipeline roles, estimating utilization from unique consultant records, and preparing recommendations for resource-manager confirmation.
Why use it?
It helps planners identify possible fits without treating uncertain projects as guaranteed or making an assignment without manager approval.

Skill for Claude CodeCodex ✓ vendor

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

Good fit It is for comparing bench consultants with pipeline roles, estimating utilization from unique consultant records, and preparing recommendations for resource-manager confirmation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/microsoft/aibast-agents-library/staffing-recommendation
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 staffing-recommendation
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 pipeline-staffing-recommendation

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/microsoft/aibast-agents-library/staffing-recommendation"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/staffing-recommendation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 70 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 $0.00017 $0.00070
Opus 5 $0.00009 $0.00035
Sonnet 5 $0.00003 $0.00014
Haiku 4.5 $0.00002 $0.00007

Measured 5d ago against content hash 6a9f6748184e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

pipeline-staffing-recommendation 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 5d 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/resource-utilization/manual/skills/staffing-recommendation/SKILL.md · 11 lines

What it actually says

Pipeline staffing recommendation

Require both level and skill match. Show probability and start date. List Robert Garcia as unmatched. Project utilization using unique consultant IDs, then state that resource-manager confirmation is required and no assignment was made.

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. 5d ago First seen · 11 lines · 17 tokens per session scan A 6a9f6748184e

Subscribe to this mod's changes

pipeline-staffing-recommendation is a skill published in the GitHub repository microsoft/aibast-agents-library (7 stars, last pushed yesterday), licensed MIT. It adds 17 tokens to every session and 70 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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