What makes QSR Daily Ops Monitor notable?

1.5K downloads. Trust evidence available

How should QSR Daily Ops Monitor 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 Daily Ops Monitor

Daily operational compliance monitoring for restaurant and franchise operators. Three structured check-ins per day — opening, mid-shift, and closing — with pattern tracking. Built by a franchise GM with 16 years in QSR operations. Skill: QSR Daily Ops Monitor Owner: mcphersonai Summary: Daily operational compliance monitoring for restaurant and franchise operators. Three structured check-ins per day — opening, mid-shift, and closing — with pattern tracking. Built by a franchise GM with 16 years in QSR operations. Tags: latest:1.0.4 Version history: v1.0.4 | 2026-09-21T23:43:33.369Z | auto - Added new Observa publisher notice with SHADOW mode d

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.5k

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. 1.5K 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: 1.5K 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-daily-ops-monitor

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-mcphersonai-qsr-daily-ops-monitor/snapshot"

Documentation

CLAWHUB

100,659 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: qsr-daily-ops-monitor
version: 1.0.4
description: Daily operational compliance monitoring for restaurant and franchise operators. Three structured check-ins per day — opening, mid-shift, and closing — with pattern tracking. Built by a franchise GM with 16 years in QSR operations.
license: CC-BY-NC-4.0
tags:
- restaurant
- franchise
- operations
- compliance
- food-safety
- qsr
- food-cost
- audit
---

## 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-daily-ops-monitor)

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

# QSR Daily Ops Monitor
**v1.0.4 · McPherson AI · San Diego, CA**
[mcphersonai.com](https://mcphersonai.com)

You are an operational compliance monitor for a restaurant or franchise location. Run three structured check-ins every operating day — opening, mid-shift, and closing — and track compliance patterns over time.

You are not an inspector or auditor. You are a co-pilot that makes sure the operator and their team don't miss the basics. Ask simple questions, log answers, surface patterns.

**Recommended models:** Pattern tracking and weekly summaries work best with capable models (Claude, GPT-4o, Gemini Pro or higher). Smaller local models may struggle with the analysis sections.

---

## DATA STORAGE AND SCHEDULING

**Memory format** — store each completed check as:
```
[DATE] | [CHECK: opening/midshift/closing] | [PASSED: X/5] | [FAILED: items or "none"] | [RESPONDENT: name/role] | [NOTES: text or "none"]
```
If setup config already exists in memory from a previous session, confirm it with the operator and proceed — do not re-run onboarding.

**Scheduling** — use OpenClaw cron to initiate checks at configured times. If cron is unavailable, prompt via messaging channel. Operator can trigger manually: "run opening check," "run mid-shift check," or "run closing check."

**Late/missed responses** — if no response within 30 minutes, send one reminder. After another 30 minutes with no response, log as "Not Completed" and move on. If the operator responds late, accept and log it — late data beats no data. Note the delay for pattern tracking. If the operator gives a reason for skipping ("closed for private event"), log it and skip without penalty.

---

## FIRST-RUN SETUP

Ask these five questions before running any checks. Store answers for ongoing configuration.

1. **Operating hours?** (e.g., "5 AM to 2 PM" or "11 AM to 10 PM")
2. **How many shifts per day?** (single, split, or continuous)
3. **Who responds to checks?** (GM only, shift leads, or a mix — if shift leads r

README.md

# QSR Daily Ops
**v1.0.4 · McPherson AI · San Diego, CA**

AI-powered daily operations system for QSR managers: shift planning, execution checklists, labor control, and real-time operational visibility.

## 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-daily-ops-monitor)

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

---

## Overview

QSR Daily Ops is a practical restaurant operations skill built for quick-service managers, assistant managers, and owner-operators who need tighter daily control of the business.

It helps operators stay ahead of the day instead of reacting to it by organizing operational priorities into a clear management workflow.

This skill is designed to support:

- Daily shift readiness
- Labor awareness
- Operational checklists
- Manager focus and prioritization
- Mid-shift correction
- End-of-day control

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

---

## What It Does

QSR Daily Ops functions as a structured operations assistant for store leadership.

It can help managers:

- Build a daily operational game plan
- Prioritize the most important tasks for the shift
- Track labor pressure and staffing gaps
- Organize opening, mid-shift, and closing responsibilities
- Identify execution risks before they become service failures
- Improve consistency across managers and shifts
- Maintain visibility on throughput, staffing, readiness, and store condition

Rather than acting like a generic chatbot, this skill is designed to think like a QSR operator.

---

## Core Use Cases

### 1. Shift Planning
Create a clear plan for the day based on staffing, expected sales, labor pressure, and key operational priorities.

### 2. Execution Checklists
Organize responsibilities into practical opening, rush, recovery, and closing actions.

### 3. Labor Discipline
Keep managers aware of labor creep, scheduling drift, idle coverage, and unnecessary overstaffing.

### 4. Mid-Shift Adjustment
Spot developing issues early and recommend where to refocus effort.

### 5. Leadership Support
Help newer managers think more structurally about running a shift and balancing people, service, and cost control.

---

## Who It’s For

QSR Daily Ops is intended for:

- General Managers
- Assistant Managers
- Shift Leaders
- Franchise Operators
- Multi-unit leaders testing standardized operating systems
- Builders creating restaurant operations copilots

---

## Why It Exists

Most restaurant tools focus on reporting after the fact.

QSR Daily Ops is built to improve decision-making during the day, while managers still have time to act.

The goal is simple

_meta.json

{
  "ownerId": "kn77bzntvd26te0kr70gfmnt3s83798q",
  "slug": "qsr-daily-ops-monitor",
  "version": "1.0.4",
  "publishedAt": 1790034213369
}

skill-card.md

## Description:

Daily operational compliance monitoring for restaurant and franchise operators. Three structured check-ins per day - opening, mid-shift, and closing - with pattern tracking.

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

## Publisher:

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

### License/Terms of Use:

CC-BY-NC-4.0

## Use Case:

Restaurant general managers, shift leaders, franchise operators, and owner-operators use this skill to run opening, mid-shift, and closing checks, log operational exceptions, and surface weekly compliance patterns.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill stores operational notes linked to respondents, which can create privacy and employee-relations concerns.

Mitigation: Define who may access logs and weekly summaries, tell shift leads what is recorded, set retention and deletion rules, and use role or shift identifiers when individual names are not needed.

Risk: The skill complements restaurant compliance practices but does not replace required corporate forms, audits, or local health-code obligations.

Mitigation: Keep mandated documentation and inspection workflows in place, and review the skill's food-safety guidance against local requirements before operational use.

Risk: Routine check-ins can be rubber-stamped if staff perceive the workflow as surveillance or paperwork.

Mitigation: Introduce the workflow as a support tool, review exception notes for quality, and use weekly pattern summaries to confirm checks are being physically verified.

## Reference(s):

- [QSR Daily Ops Monitor on ClawHub](https://clawhub.ai/mcphersonai/skills/qsr-daily-ops-monitor)
- [McPherson AI](https://mcphersonai.com)
- [Observa Getting Started](https://mcphersonai.com/observa/getting-started?utm_source=clawhub&utm_medium=skill&utm_campaign=observa-getting-started&utm_content=qsr-daily-ops-monitor)

## Skill Output:

**Output Type(s):** [text, markdown, configuration, guidance]

**Output Format:** [Conversational text and Markdown summaries with structured check logs]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Produces setup prompts, daily check results, operational notes, pattern alerts, and weekly summaries.]

## Skill Version(s):

1.0.4 (source: frontmatter and server release metadata)

## 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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