What makes QSR Food Cost Diagnostic notable?

1.4K downloads. Trust evidence available

How should QSR Food Cost Diagnostic be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

QSR Food Cost Diagnostic

Weekly food cost variance diagnostic for restaurant and franchise operators. Four-lever system that catches COGS drift weekly instead of monthly — ordering, portions, recipes, waste. Built by a franchise GM with 16 years in QSR operations.

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.4k

Updated

Oct 10, 2026

Version

1.0.4

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.4K downloads reported by the source. Last updated 10/10/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 10, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 10, 2026
Adoption signal: 1.4K downloadsadoption · observed Oct 10, 2026
Latest release: 1.0.4release · observed Sep 21, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s176n3ns9yxm5bkwfzy1px199x842m27:qsr-food-cost-diagnostic

Install using `clawhub skill install s176n3ns9yxm5bkwfzy1px199x842m27:qsr-food-cost-diagnostic` in an isolated environment before connecting it to live workloads.
No published capability contract is available yet, so validate auth and request/response behavior manually.
Review the upstream CLAWHUB listing at https://clawhub.ai/mcphersonai/qsr-food-cost-diagnostic before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-mcphersonai-qsr-food-cost-diagnostic/snapshot"

Documentation

CLAWHUB

93,772 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: qsr-food-cost-diagnostic
version: 1.0.4
description: Weekly food cost variance diagnostic for restaurant and franchise operators. Four-lever system that catches COGS drift weekly instead of monthly — ordering, portions, recipes, waste. Built by a franchise GM with 16 years in QSR operations.
license: CC-BY-NC-4.0
tags:
  - restaurant
  - franchise
  - operations
  - food-cost
  - cogs
  - inventory
  - qsr
  - waste
---

## Building with AI agents? Get started with Observa

See observed runtime activity, review what governance WOULD have done in SHADOW mode, and preserve the evidence behind it across OpenClaw and supported n8n workflows.

[**Get started with Observa →**](https://mcphersonai.com/observa/getting-started?utm_source=clawhub&utm_medium=skill&utm_campaign=observa-getting-started&utm_content=qsr-food-cost-diagnostic)

*SHADOW ONLY · AUTHORITY NONE · ENFORCEMENT OFF. Publisher notice only; this QSR skill’s operating behavior, data handling, and license are unchanged.*

# QSR Food Cost Variance Diagnostic
**v1.0.4 · McPherson AI · San Diego, CA**

You are a food cost diagnostic tool for a restaurant or franchise operator. When food cost (COGS) is running above target, you walk the operator through a four-lever diagnostic sequence to identify the source of the variance and recommend corrective action — the same week, not the following month.

Most operators see COGS on their monthly P&L and react too late. The money is already spent. This skill catches variance weekly so corrections happen while they can still impact the current period.

**Recommended models:** This skill involves structured diagnostic reasoning. Works best with capable models (Claude, GPT-4o, Gemini Pro or higher).

---

## DATA STORAGE

**Memory format** — store each diagnostic run as:
```
[DATE] | [REPORTED COGS %] | [TARGET %] | [VARIANCE] | [ROOT CAUSE: lever 1-4] | [ACTION TAKEN: text or "pending"] | [FOLLOW-UP: date or "none"]
```
Track diagnostics over time to identify recurring patterns — if the same lever keeps triggering, there's a systemic issue, not a one-off miss.

---

## FIRST-RUN SETUP

Ask these questions before running the first diagnostic:

1. **What is your COGS target?** (e.g., "47%" or "my target food cost is 32%")
2. **How do you currently track food cost?** (weekly inventory counts, POS reports, vendor invoices, or gut feel)
3. **What are your top 5 highest-cost menu items?** (these are where variance hides)
4. **How many deliveries per week do you receive?** (ordering frequency affects where waste accumulates)
5. **Do you have an ordering system?** (e.g., NBO, Restaurant365, CrunchTime, manual — this determines how to check lever 1)

Confirm:
> **Setup Complete** — COGS target: [X%] | Tracking method: [X] | High-cost items: [list] | Deliveries/week: [X] | Ordering system: [X]
> Ready to run diagnostics. Trigger anytime by saying "food cost is high" or "run COGS diagnostic."

---

## WHEN TO TRIGGER

Run this diagnostic when:
- The operat

README.md

# QSR Food Cost Diagnostic
**v1.0.4 · McPherson AI · San Diego, CA**

AI-powered food cost diagnostic for QSR operators: identifies waste, portion drift, inventory loss, and margin pressure before they become larger profitability problems.

## Building with AI agents? Get started with Observa

Observa shows supported OpenClaw and n8n runtime activity, what governance WOULD have done in SHADOW mode, and the evidence behind it.

[**Get started with Observa →**](https://mcphersonai.com/observa/getting-started?utm_source=github&utm_medium=skill-readme&utm_campaign=observa-getting-started&utm_content=qsr-food-cost-diagnostic)

*SHADOW ONLY · AUTHORITY NONE · ENFORCEMENT OFF. This publisher notice does not change the QSR skill itself.*

---

## Overview

QSR Food Cost Diagnostic is a food cost analysis skill built for restaurant operators who need tighter visibility into margin erosion at the store level.

It is designed to help managers identify likely sources of food cost pressure before they become recurring profitability problems.

This skill reviews food cost performance in operational context and highlights the most likely causes of waste, overportioning, inventory loss, prep inconsistency, and avoidable product leakage so store leadership can take corrective action earlier.

It is built from real operating experience inside high-volume QSR environments.

---

## What It Does

QSR Food Cost Diagnostic functions as an operational margin diagnostic tool for store leadership.

It helps operators:

- Identify food cost pressure and likely causes
- Detect possible waste, overportioning, and prep inconsistency
- Surface inventory loss patterns
- Highlight areas where margin is being quietly eroded
- Distinguish one-time anomalies from repeatable operational problems
- Support earlier corrective action before losses compound
- Improve store-level cost awareness and accountability

Rather than simply reporting food cost numbers, this skill is designed to think like an experienced QSR operator reviewing the operational story behind margin performance.

---

## Core Use Cases

### 1. Food Cost Pressure Review
Analyzes likely operational drivers behind rising food cost and shrinking margin.

### 2. Waste and Portion Drift Detection
Flags patterns that may suggest overportioning, spoilage, prep waste, or weak execution discipline.

### 3. Inventory Loss Awareness
Helps surface unexplained loss, transfer issues, receiving problems, or product handling breakdowns.

### 4. Operational Root-Cause Analysis
Connects food cost pressure to likely store-level behaviors instead of treating all variance as random noise.

### 5. Manager Decision Support
Helps store leadership focus on the most likely high-impact correction points.

---

## Who It’s For

QSR Food Cost Diagnostic is intended for:

- General Managers
- Assistant Managers
- Franchise Operators
- District Managers
- Multi-unit leaders
- Builders creating QSR cost intelligence systems

---

## Why It Exists

_meta.json

{
  "ownerId": "kn77bzntvd26te0kr70gfmnt3s83798q",
  "slug": "qsr-food-cost-diagnostic",
  "version": "1.0.4",
  "publishedAt": 1790034396437
}

skill-card.md

## Description:

Weekly food cost variance diagnostic for restaurant and franchise operators. Four-lever system that catches COGS drift weekly instead of monthly: ordering, portions, recipes, and waste.

This skill is ready for commercial/non-commercial use.

## Publisher:

[mcphersonai](https://clawhub.ai/user/mcphersonai)

### License/Terms of Use:

Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

## Use Case:

Restaurant and franchise operators, store managers, district managers, and multi-unit leaders use this skill to diagnose weekly food cost variance, identify likely root causes across ordering, portions, recipes, and waste, and choose corrective actions before losses compound.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill may retain operational food-cost percentages, targets, root causes, actions, and follow-up dates for pattern tracking.

Mitigation: Use explicit diagnostic requests, avoid entering sensitive business details that should not be stored in memory, and review retained records according to the operator's data-handling policy.

Risk: Diagnostic recommendations could be incomplete or unsuitable if the operator provides inaccurate COGS, inventory, ordering, recipe, or waste information.

Mitigation: Validate recommendations against current store records, recipe standards, inventory counts, and manager judgment before making operational changes.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/mcphersonai/skills/qsr-food-cost-diagnostic)
- [Publisher profile](https://clawhub.ai/user/mcphersonai)
- [Observa getting started publisher notice](https://mcphersonai.com/observa/getting-started?utm_source=clawhub&utm_medium=skill&utm_campaign=observa-getting-started&utm_content=qsr-food-cost-diagnostic)

## Skill Output:

**Output Type(s):** [Analysis, Markdown, Guidance]

**Output Format:** [Conversational Markdown with diagnostic summaries and follow-up prompts]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May store diagnostic run records containing reported COGS, target percentage, variance, root cause, action, and follow-up date.]

## Skill Version(s):

1.0.4 (source: frontmatter, release metadata, README)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

LICENSE

Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

Copyright (c) 2026 Blake McPherson / McPherson AI

This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.

You are free to:

- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material

Under the following terms:

- Attribution — You must give appropriate credit
- NonCommercial — You may not use the material for commercial redistribution

Additional License Clarification:

For the purposes of this license, using this skill within your own business, restaurant, franchise, or internal operations is permitted and is not considered commercial redistribution.

Commercial redistribution means:

- Reselling this skill
- Repackaging this skill as a paid product
- Offering it as part of a competing commercial platform
- Redistributing modified or unmodified versions for direct commercial sale or licensing

This clarification is intended to allow practical operational use while protecting the original work from unauthorized resale or platform exploitation.

Full license text:
https://creativecommons.org/licenses/by-nc/4.0/

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