supplier-qbr-skill

supplier-qbr-skill is a skill for Claude Code, Codex from arunbalajiraju-proc/procurement-ai-assistant. It costs 36 tokens per session (1,397 once invoked), scanned A, original, MIT.

A review guide for supplier quarterly business reviews (QBRs), which are regular meetings about a vendor’s performance and value. It organizes contract duties, service results, problems, spending, risks, and next steps.

In plain words
What is it for?
Preparing quarterly or monthly supplier reviews, contract-governance meetings, escalation briefings, renewal reviews, and supplier action tracking.
Why use it?
It turns scattered supplier reports and feedback into a focused discussion tied to the contract. This helps teams spot trends, prepare questions, and follow up on agreed actions.

Skill for Claude CodeCodex

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

Good fit Preparing quarterly or monthly supplier reviews, contract-governance meetings, escalation briefings, renewal reviews, and supplier action tracking.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/arunbalajiraju-proc/procurement-ai-assistant/supplier-qbr-skill
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 arunbalajiraju-proc/procurement-ai-assistant --skill supplier-qbr-skill
Clone the repo
git clone --depth 1 https://github.com/arunbalajiraju-proc/procurement-ai-assistant

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 supplier-qbr-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/arunbalajiraju-proc/procurement-ai-assistant/supplier-qbr-skill/github.svg)](https://agentmods.dev/skills/arunbalajiraju-proc/procurement-ai-assistant/supplier-qbr-skill)
Your own site
<a href="https://agentmods.dev/skills/arunbalajiraju-proc/procurement-ai-assistant/supplier-qbr-skill"><img src="https://agentmods.dev/badge/skills/arunbalajiraju-proc/procurement-ai-assistant/supplier-qbr-skill/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 supplier-qbr-skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/arunbalajiraju-proc/procurement-ai-assistant/supplier-qbr-skill"><img src="https://agentmods.dev/badge/skills/arunbalajiraju-proc/procurement-ai-assistant/supplier-qbr-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,397 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 $0.00036 $0.01397
Opus 5.5 $0.00014 $0.00559
Sonnet 5.5 $0.00007 $0.00279
Haiku 4.5 $0.00004 $0.00140

Measured 2mo ago against content hash 045ec3effb30, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

supplier-qbr-skill 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 2mo 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.

agent-skills/supplier-qbr-skill/SKILL.md · 238 lines

How it starts

The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Name

Supplier QBR and Performance Review Skill

Purpose

This skill helps AI prepare a supplier quarterly business review or periodic performance review from contract obligations, SLA/KPI data, issues, actions, spend, changes, risks, stakeholder feedback, and renewal information.

It converts scattered reporting into a focused supplier-management discussion.

Composability

This skill is standalone. If other Procurement AI Assistant skills are installed, the AI may combine relevant skills for a multi-step procurement request. Do not assume another skill is available; preserve this skill's own guardrails and human review points.

Core Principle

A QBR should manage performance and value, not merely present updates.

The workflow is:

Collect -> Validate -> Compare to Contract -> Identify Trends -> Prioritize Issues -> Prepare Questions -> Agree Actions -> Track

When to Use

Use this skill for:

  • Supplier QBR preparation
  • Monthly or quarterly performance reviews
  • Contract governance meetings
  • SLA and KPI trend analysis
  • Escalation preparation
  • Renewal-readiness review
  • Corrective action follow-up
  • Supplier action tracking
  • Executive supplier briefings

Do Not Use This Skill For

Do not use it to:

  • Accept supplier-reported data without validation
  • Change performance records
  • Approve service credits or remedies
  • Make renewal or termination decisions
  • Treat every missed target as equally material
  • Replace the contract owner, business owner, or vendor manager

Required Inputs

  • Contract and SOW
  • SLA/KPI reports
  • Issue and escalation logs
  • Previous QBR minutes
  • Open actions
  • Corrective action plans
  • Invoices and spend
  • Change requests
  • Service credits
  • Stakeholder feedback
  • Risk assessments
  • Contract and renewal dates
  • Supplier improvement commitments

Workflow

Step 1: Establish Review Period and Objectives

Identify:

  • Period covered
  • Supplier and services
  • Audience
  • Business criticality
  • Current concerns
  • Renewal horizon
  • Decisions needed

Read the full file on GitHub · 238 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago First seen · 238 lines · 36 tokens per session scan A 045ec3effb30

Subscribe to this mod's changes

supplier-qbr-skill is a skill published in the GitHub repository arunbalajiraju-proc/procurement-ai-assistant (18 stars, last pushed 3mo ago), licensed MIT. It adds 36 tokens to every session and 1,397 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 2026-08-30.

Related

supplier-qbr-skill compared with skills from other repositories

supplier-qbr-skill next to 6 skills from other repositories
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