task_53Health care and social assistance

Arguments

strategic_intent

Understand the input documents and plan the data extraction and reconciliation process for the Meadowbrook Access Services Friday cutover.

summary

We are starting the Meadowbrook Behavioral Health Access Services reconciliation task. I will inspect the workspace, activate relevant skills (pdf, xlsx, docx), and read the provided documents to understand the routing rules, referral batch export, clinical handoff notes, and slot inventory. Then I will perform a systematic reconciliation to determine client routing, slot assignments, escalations, and contact restrictions.

… 52 more characters of arguments in the raw trajectory.

Output

Current topic: "Reconciliation Planning & Document Review"
Topic summary: We are starting the Meadowbrook Behavioral Health Access Services reconciliation task. I will inspect the workspace, activate relevant skills (pdf, xlsx, docx), and read the provided documents to understand the routing rules, referral batch export, clinical handoff notes, and slot inventory. Then I will perform a systematic reconciliation to determine client routing, slot assignments, escalations, and contact restrictions.

Strategic Intent: Understand the input documents and plan the data extraction and reconciliation process for the Meadowbrook Access Services Friday cutover.

Arguments

pdf

Output

<activated_skill name="pdf">
  <instructions>
    # PDF Processing Guide

## Overview

This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see REFERENCE.md. If you need to fill out a PDF form, read FORMS.md and follow its instructions.

## Quick Start

```python
from pypdf import PdfReader, PdfWriter

# Read a PDF
reader = PdfReader("document.pdf")
print(f"Pages: {len(reader.pages)}")

# Extract text
text = ""
for page in reader.pages:
    text += page.extract_text()
```

## Python Libraries

### pypdf - Basic Operations

#### Merge PDFs
```python
from pypdf import PdfWriter, PdfReader

writer = PdfWriter()
for pdf_file in ["doc1.pdf", "doc2.pdf", "doc3.pdf"]:
    reader = PdfReader(pdf_file)
    for page in reader.pages:
        writer.add_page(page)

with open("merged.pdf", "wb") as output:
    writer.write(output)
```

#### Split PDF
```python
reader = PdfReader("inpu

… 7,070 more characters of output in the raw trajectory.

Arguments

Convert the access services rules PDF to text for reading.

pdftotext /workspace/data/access_services_rules_cutover_queue.pdf /workspace/access_services_rules.txt && ls -lh /workspace/access_services_rules.txt

Output

<untrusted_context>
Output: -rw-r--r-- 1 root root 7.5K Aug 20 01:29 /workspace/access_services_rules.txt
Process Group PGID: 1505
</untrusted_context>

Arguments

end_line

200

file_path

/workspace/access_services_rules.txt

start_line

1

Output

Meadowbrook Behavioral Health Access Services
Cutover Queue Desk Reference - Urgent Access, Capacity, and Contact
Handling
Document ID

ACC-UR-0529-CUTOVER

Applies to

EHR cutover referrals reviewed 2026-05-29 11:40 CT

Owner

Access Services Operations Lead

Use limit

Administrative routing only - not a diagnostic, medication, or
treatment protocol

1. Source hierarchy and exclusions
Area

Operational requirement

Authoritative hierarchy

Use this desk reference for routing, bridge outreach, payer carve-outs, slot eligibility, and contact restrictions. Use the signed
care-coordination handoff packet over the referral export only when the note identifies the same client and is signed during the
2026-05-29 09:30-11:40 CT review window. Ignore draft or unsigned notes.

Queue labels

The referral-export raw triage band is a queue label only and is not the final access pathway.

Capacity source

The slot inventory is the only appointment-capacity source, but this reference overrides stal

… 6,576 more characters of output in the raw trajectory.

Arguments

docx

Output

<activated_skill name="docx">
  <instructions>
    # DOCX creation, editing, and analysis

## Overview

A .docx file is a ZIP archive containing XML files.

## Quick Reference

| Task | Approach |
|------|----------|
| Read/analyze content | `pandoc` or unpack for raw XML |
| Create new document | Use `docx-js` - see Creating New Documents below |
| Edit existing document | Unpack → edit XML → repack - see Editing Existing Documents below |

### Converting .doc to .docx

Legacy `.doc` files must be converted before editing:

```bash
python scripts/office/soffice.py --headless --convert-to docx document.doc
```

### Reading Content

```bash
# Text extraction with tracked changes
pandoc --track-changes=all document.docx -o output.md

# Raw XML access
python scripts/office/unpack.py document.docx unpacked/
```

### Converting to Images

```bash
python scripts/office/soffice.py --headless --convert-to pdf document.docx
pdftoppm -jpeg -r 150 document.pdf page
```

### Accepting Tracked Chan

… 20,839 more characters of output in the raw trajectory.

Arguments

xlsx

Output

<activated_skill name="xlsx">
  <instructions>
    # Requirements for Outputs

## All Excel files

### Professional Font
- Use a consistent, professional font (e.g., Arial, Times New Roman) for all deliverables unless otherwise instructed by the user

### Zero Formula Errors
- Every Excel model MUST be delivered with ZERO formula errors (#REF!, #DIV/0!, #VALUE!, #N/A, #NAME?)

### Preserve Existing Templates (when updating templates)
- Study and EXACTLY match existing format, style, and conventions when modifying files
- Never impose standardized formatting on files with established patterns
- Existing template conventions ALWAYS override these guidelines

## Financial models

### Color Coding Standards
Unless otherwise stated by the user or existing template

#### Industry-Standard Color Conventions
- **Blue text (RGB: 0,0,255)**: Hardcoded inputs, and numbers users will change for scenarios
- **Black text (RGB: 0,0,0)**: ALL formulas and calculations
- **Green text (RGB: 0,128,0)**: 

… 11,871 more characters of output in the raw trajectory.

Arguments

import pandas as pd
import openpyxl
from docx import Document

print("--- Inspecting referral_batch_export.xlsx ---")
wb_ref = openpyxl.load_workbook("/workspace/data/referral_batch_export.xlsx")
print("Sheets:", wb_ref.sheetnames)
df_ref = pd.read_excel("/workspace/data/referral_batch_export.xlsx")
print("Columns:", list(df_ref.columns))
print("First 2 rows:")
print(df_ref.head(2))
print("Total rows:", len(df_ref))

print("\n--- Inspecting slot_inventory_and_roster.xlsx ---")
wb_slot = openpyxl.load_workbook("/workspace/data/slot_inventory_and_roste

… 729 more characters of arguments in the raw trajectory.

Output

Successfully created and wrote to new file: /workspace/inspect_data.py. Here is the updated code:
import pandas as pd
import openpyxl
from docx import Document

print("--- Inspecting referral_batch_export.xlsx ---")
wb_ref = openpyxl.load_workbook("/workspace/data/referral_batch_export.xlsx")
print("Sheets:", wb_ref.sheetnames)
df_ref = pd.read_excel("/workspace/data/referral_batch_export.xlsx")
print("Columns:", list(df_ref.columns))
print("First 2 rows:")
print(df_ref.head(2))
print("Total rows:", len(df_ref))

print("\n--- Inspecting slot_inventory_and_roster.xlsx ---")
wb_slot = openpyxl.load_workbook("/workspace/data/slot_inventory_and_roster.xlsx")
print("Sheets:", wb_slot.sheetnames)
for name in wb_slot.sheetnames:
    df_s = pd.read_excel("/workspace/data/slot_inventory_and_roster.xlsx", sheet_name=name)
    print(f"Sheet '{name}' columns:", list(df_s.columns))
    print(f"Sheet '{name}' rows:", len(df_s))
    print(df_s.head(2))

print("\n--- Inspecting signed_clinical_handoff

… 303 more characters of output in the raw trajectory.

Arguments

Run the inspection python script to analyze input datasets.

python /workspace/inspect_data.py

Output

<untrusted_context>
Output: --- Inspecting referral_batch_export.xlsx ---
Sheets: ['Referral_Export', 'Batch_Context', 'Extract_Control']
Columns: ['client_id', 'intake_ts_ct', 'source', 'age', 'perinatal_status', 'payer_plan', 'preferred_site', 'clinical_language', 'telehealth_consent', 'guardian_consent_status', 'collateral_contact_note', 'raw_triage_band', 'phq9', 'gad7', 'epds', 'functional_impairment', 'current_intent_reported', 'current_death_or_self_harm_thoughts', 'method_or_means_recent', 'safety_plan_on_file', 'nssi_or_self_harm_days_ago', 'medically_attended_self_harm_last_72h', 'psychosis_checkbox', 'command_content_reported', 'substance_withdrawal_status', 'psych_inpatient_discharge_date', 'bh_ed_visits_30d', 'active_bh_provider_seen_within_72h', 'linked_note_id', 'export_comment']
First 2 rows:
  client_id  ...                            export_comment
0   BH-J4K9  ...  ED callback note pending at export time.
1   BH-C3T8  ...       No documented safety plan in chart.

- 2

… 1,862 more characters of output in the raw trajectory.

Arguments

import pandas as pd
from docx import Document

pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
pd.set_option('display.width', 1000)

print("=== REFERRAL BATCH EXPORT (Referral_Export) ===")
df_ref = pd.read_excel("/workspace/data/referral_batch_export.xlsx", sheet_name="Referral_Export")
print(df_ref)

print("\n=== REFERRAL BATCH EXPORT (Batch_Context) ===")
df_context = pd.read_excel("/workspace/data/referral_batch_export.xlsx", sheet_name="Batch_Context")
print(df_context)

print("\n=== REFERRAL BATCH EXPORT (Extrac

… 952 more characters of arguments in the raw trajectory.

Output

Successfully created and wrote to new file: /workspace/dump_all.py. Here is the updated code:
import pandas as pd
from docx import Document

pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
pd.set_option('display.width', 1000)

print("=== REFERRAL BATCH EXPORT (Referral_Export) ===")
df_ref = pd.read_excel("/workspace/data/referral_batch_export.xlsx", sheet_name="Referral_Export")
print(df_ref)

print("\n=== REFERRAL BATCH EXPORT (Batch_Context) ===")
df_context = pd.read_excel("/workspace/data/referral_batch_export.xlsx", sheet_name="Batch_Context")
print(df_context)

print("\n=== REFERRAL BATCH EXPORT (Extract_Control) ===")
df_control = pd.read_excel("/workspace/data/referral_batch_export.xlsx", sheet_name="Extract_Control")
print(df_control)

print("\n=== SLOT INVENTORY (Open_Slot_Inventory) ===")
df_slots = pd.read_excel("/workspace/data/slot_inventory_and_roster.xlsx", sheet_name="Open_Slot_Inventory")
print(df_slots)

print("\n=== DOCX FILE TABL

… 518 more characters of output in the raw trajectory.

Arguments

Dump all contents of input data sheets and DOCX tables.

python /workspace/dump_all.py

Output

<untrusted_context>
Output: === REFERRAL BATCH EXPORT (Referral_Export) ===
   client_id        intake_ts_ct                        source  age     perinatal_status                payer_plan preferred_site clinical_language telehealth_consent                        guardian_consent_status                            collateral_contact_note raw_triage_band  phq9  gad7  epds         functional_impairment current_intent_reported           current_death_or_self_harm_thoughts                             method_or_means_recent safety_plan_on_file  nssi_or_self_harm_days_ago medically_attended_self_harm_last_72h psychosis_checkbox                           command_content_reported                        substance_withdrawal_status psych_inpatient_discharge_date  bh_ed_visits_30d active_bh_provider_seen_within_72h linked_note_id                                     export_comment
0    BH-J4K9 2026-05-29 09:08:00                   ED callback   34                   No    Riverbend Medicaid MCO   

… 22,277 more characters of output in the raw trajectory.

Arguments

file_path

/workspace/print_notes.py

content

from docx import Document

doc = Document("/workspace/data/signed_clinical_handoff_packet.docx")
for idx, table in enumerate(doc.tables):
    print(f"\n==================== TABLE {idx} ====================")
    for row_idx, row in enumerate(table.rows):
        if row_idx == 0:
            # Header
            print(f"Headers: {[cell.text.strip() for cell in row.cells]}")
            continue
        print(f"\n--- Table {idx}, Row {row_idx} ---")
        meta = row.cells[0].text.strip()
        note = row.cells[1].text.

… 109 more characters of arguments in the raw trajectory.

Output

Successfully created and wrote to new file: /workspace/print_notes.py. Here is the updated code:
from docx import Document

doc = Document("/workspace/data/signed_clinical_handoff_packet.docx")
for idx, table in enumerate(doc.tables):
    print(f"\n==================== TABLE {idx} ====================")
    for row_idx, row in enumerate(table.rows):
        if row_idx == 0:
            # Header
            print(f"Headers: {[cell.text.strip() for cell in row.cells]}")
            continue
        print(f"\n--- Table {idx}, Row {row_idx} ---")
        meta = row.cells[0].text.strip()
        note = row.cells[1].text.strip()
        print("METADATA:")
        print(meta)
        print("NOTE:")
        print(note)

Arguments

description

Dump the text of all care-coordination notes from the signed clinical handoff packet.

command

python /workspace/print_notes.py

Output

<untrusted_context>
Output: ==================== TABLE 0 ====================
Headers: ['Note metadata', 'Care-coordination note']

--- Table 0, Row 1 ---
METADATA:
Note ID: HN-J4K9
Client ID: BH-J4K9
Status: SIGNED 2026-05-29 11:18 CT
Origin: LCSW ED callback
NOTE:
Client stated intent to act tonight and described medication stockpile at home as accessible means. Urgent-care record from 2026-05-27 shows medically attended self-harm laceration. Mobile crisis warm transfer was accepted during call. Do not place into outpatient access until crisis disposition is known.

--- Table 0, Row 2 ---
METADATA:
Note ID: HN-C3T8
Client ID: BH-C3T8
Status: SIGNED 2026-05-29 10:02 CT
Origin: PCP behavioral health handoff
NOTE:
Client denied current intent but described reviewing medication quantities eighteen days ago and still has full supply at home. No safety plan is visible in the chart. PCP requested same-day clinical review before routine intake.

--- Table 0, Row 3 ---
METADATA:
Note ID: HN-P

… 5,212 more characters of output in the raw trajectory.

Arguments

import pandas as pd
import numpy as np

# Load datasets
df_ref = pd.read_excel("/workspace/data/referral_batch_export.xlsx", sheet_name="Referral_Export")
df_slots = pd.read_excel("/workspace/data/slot_inventory_and_roster.xlsx", sheet_name="Open_Slot_Inventory")

# We will perform the logic for each client
results = []
for idx, row in df_ref.iterrows():
    cid = row['client_id']
    age = row['age']
    payer = row['payer_plan']
    site = row['preferred_site']
    lang = row['clinical_language']
    telehealth_ok = row['telehealth_consent']
    guardian_o

… 10,243 more characters of arguments in the raw trajectory.

Output

Successfully created and wrote to new file: /workspace/reconciliation_logic.py. Here is the updated code:
import pandas as pd
import numpy as np

# Load datasets
df_ref = pd.read_excel("/workspace/data/referral_batch_export.xlsx", sheet_name="Referral_Export")
df_slots = pd.read_excel("/workspace/data/slot_inventory_and_roster.xlsx", sheet_name="Open_Slot_Inventory")

# We will perform the logic for each client
results = []
for idx, row in df_ref.iterrows():
    cid = row['client_id']
    age = row['age']
    payer = row['payer_plan']
    site = row['preferred_site']
    lang = row['clinical_language']
    telehealth_ok = row['telehealth_consent']
    guardian_ok = row['guardian_consent_status']
    collateral_note = row['collateral_contact_note']
    triage_band = row['raw_triage_band']
    
    # Let's get scores
    phq = row['phq9']
    gad = row['gad7']
    epds = row['epds']
    func = row['functional_impairment']
    
    intent = row['current_intent_reported']
    thoughts = ro

… 9,591 more characters of output in the raw trajectory.

Arguments

Verify our initial classification of the 16 clients.

python /workspace/reconciliation_logic.py

Output

<untrusted_context>
Output: client_id           assigned_pathway  contact_restriction
0    BH-J4K9            Crisis transfer                 True
1    BH-C3T8  Same-day clinician review                False
2    BH-P8A4  Same-day clinician review                 True
3    BH-M2N7  Same-day clinician review                False
4    BH-L0R6  Same-day clinician review                 True
5    BH-X1D5            Priority access                False
6    BH-S5Q2            Priority access                False
7    BH-R6W8            Priority access                False
8    BH-E7V1            Priority access                 True
9    BH-Q2T0            Priority access                False
10   BH-Z0B4            Priority access                False
11   BH-T9Y6            Priority access                False
12   BH-V9F3         Routine / waitlist                False
13   BH-N4A1         Routine / waitlist                False
14   BH-A8U2         Routine / waitlist                False

… 107 more characters of output in the raw trajectory.

Arguments

import os
import openpyxl
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
from openpyxl.utils import get_column_letter

# Create output directory
os.makedirs("/workspace/output", exist_ok=True)

# Create a new workbook
wb = openpyxl.Workbook()

# Sheet 1: Reconciliation_Summary (Rename default active sheet)
ws_sum = wb.active
ws_sum.title = "Reconciliation_Summary"

# Sheet 2: Client_Reconciliation
ws_cli = wb.create_sheet("Client_Reconciliation")

# Define Styles
font_name = "Arial"
font_title = Font(name=font_name, size=16, bold=

… 18,480 more characters of arguments in the raw trajectory.

Output

Successfully created and wrote to new file: /workspace/generate_workbook.py. Here is the updated code:
import os
import openpyxl
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
from openpyxl.utils import get_column_letter

# Create output directory
os.makedirs("/workspace/output", exist_ok=True)

# Create a new workbook
wb = openpyxl.Workbook()

# Sheet 1: Reconciliation_Summary (Rename default active sheet)
ws_sum = wb.active
ws_sum.title = "Reconciliation_Summary"

# Sheet 2: Client_Reconciliation
ws_cli = wb.create_sheet("Client_Reconciliation")

# Define Styles
font_name = "Arial"
font_title = Font(name=font_name, size=16, bold=True, color="1B365D")
font_subtitle = Font(name=font_name, size=11, italic=True, color="555555")
font_header = Font(name=font_name, size=11, bold=True, color="FFFFFF")
font_section = Font(name=font_name, size=12, bold=True, color="1B365D")
font_bold = Font(name=font_name, size=10, bold=True, color="000000")
font_regular = Font(name=fon

… 17,104 more characters of output in the raw trajectory.

Arguments

Generate the Excel Operations Routing Reconciliation Workbook.

python /workspace/generate_workbook.py

Output

<untrusted_context>
Output: Workbook saved successfully!
Process Group PGID: 1548
</untrusted_context>

Arguments

Recalculate formulas and verify workbook integrity.

python /root/.gemini/skills/xlsx/scripts/recalc.py /workspace/output/routing_reconciliation_workbook.xlsx

Output

<untrusted_context>
Output: {
  "status": "success",
  "total_errors": 0,
  "error_summary": {},
  "total_formulas": 20
}
Process Group PGID: 1560
</untrusted_context>

Arguments

file_path

/workspace/generate_memo.py

content

import os
import docx
from docx.shared import Inches, Pt, RGBColor
from docx.enum.text import WD_ALIGN_PARAGRAPH
from docx.enum.table import WD_TABLE_ALIGNMENT, WD_ALIGN_VERTICAL
from docx.oxml import OxmlElement
from docx.oxml.ns import qn

def set_cell_margins(cell, top=100, bottom=100, left=150, right=150):
    """Set cell margins in DXA (1 dxa = 1/20 pt)"""
    tcPr = cell._tc.get_or_add_tcPr()
    tcMar = OxmlElement('w:tcMar')
    for margin_name, val in [('w:top', top), ('w:bottom', bottom), ('w:left', left), ('w:ri

… 30,332 more characters of arguments in the raw trajectory.

Output

Successfully created and wrote to new file: /workspace/generate_memo.py. Here is the updated code:
import os
import docx
from docx.shared import Inches, Pt, RGBColor
from docx.enum.text import WD_ALIGN_PARAGRAPH
from docx.enum.table import WD_TABLE_ALIGNMENT, WD_ALIGN_VERTICAL
from docx.oxml import OxmlElement
from docx.oxml.ns import qn

def set_cell_margins(cell, top=100, bottom=100, left=150, right=150):
    """Set cell margins in DXA (1 dxa = 1/20 pt)"""
    tcPr = cell._tc.get_or_add_tcPr()
    tcMar = OxmlElement('w:tcMar')
    for margin_name, val in [('w:top', top), ('w:bottom', bottom), ('w:left', left), ('w:right', right)]:
        m = OxmlElement(margin_name)
        m.set(qn('w:w'), str(val))
        m.set(qn('w:type'), 'dxa')
        tcMar.append(m)
    tcPr.append(tcMar)

def set_cell_shading(cell, color_hex):
    """Set background color of a cell"""
    tcPr = cell._tc.get_or_add_tcPr()
    shd = OxmlElement('w:shd')
    shd.set(qn('w:val'), 'clear')
    shd.set(qn('w:co

… 28,787 more characters of output in the raw trajectory.

Arguments

Generate the Word Operations Reconciliation Memorandum.

python /workspace/generate_memo.py

Output

<untrusted_context>
Output: Word memo saved successfully!
Process Group PGID: 1660
</untrusted_context>

Arguments

List the contents and sizes of the output files to verify they exist.

ls -lh /workspace/output/

Output

<untrusted_context>
Output: total 56K
-rw-r--r-- 1 root root 44K Aug 20 01:33 access_reconciliation_memo.docx
-rw-r--r-- 1 root root 12K Aug 20 01:32 routing_reconciliation_workbook.xlsx
Process Group PGID: 1663
</untrusted_context>

Arguments

Validate schema compliance of the generated Word document.

python /root/.gemini/skills/docx/scripts/office/validate.py /workspace/output/access_reconciliation_memo.docx

Output

<untrusted_context>
Output: FAILED - Found NEW validation errors:
  word/document.xml: 3 new error(s)
    - Element '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}left': This element is not expected. Expected is one of ( {http://schemas.openxmlformats.org/wordprocessingml/2006/main}end, {http://schemas.openxmlformats.org/wordprocessingml/20...
    - Element '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}pBdr': This element is not expected. Expected is one of ( {http://schemas.openxmlformats.org/wordprocessingml/2006/main}ind, {http://schemas.openxmlformats.org/wordprocessingml/20...
    - Element '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}shd': This element is not expected. Expected is one of ( {http://schemas.openxmlformats.org/wordprocessingml/2006/main}textDirection, {http://schemas.openxmlformats.org/wordproces...
  word/settings.xml: 1 new error(s)
    - Element '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}zoom'

… 199 more characters of output in the raw trajectory.

Arguments

file_path

/workspace/generate_memo_fixed.py

content

import os
import docx
from docx.shared import Inches, Pt, RGBColor
from docx.enum.text import WD_ALIGN_PARAGRAPH
from docx.enum.table import WD_TABLE_ALIGNMENT, WD_ALIGN_VERTICAL
from docx.oxml import OxmlElement
from docx.oxml.ns import qn

def style_cell_clean(cell, bg_color=None, borders=None, margins=None):
    """
    Apply background color, borders, and margins to a cell in schema-compliant order.
    borders is a dict like {'top': 'CCCCCC', 'bottom': 'CCCCCC', 'start': 'CCCCCC', 'end': 'CCCCCC'}
    margins is a

… 32,055 more characters of arguments in the raw trajectory.

Output

Successfully created and wrote to new file: /workspace/generate_memo_fixed.py. Here is the updated code:
import os
import docx
from docx.shared import Inches, Pt, RGBColor
from docx.enum.text import WD_ALIGN_PARAGRAPH
from docx.enum.table import WD_TABLE_ALIGNMENT, WD_ALIGN_VERTICAL
from docx.oxml import OxmlElement
from docx.oxml.ns import qn

def style_cell_clean(cell, bg_color=None, borders=None, margins=None):
    """
    Apply background color, borders, and margins to a cell in schema-compliant order.
    borders is a dict like {'top': 'CCCCCC', 'bottom': 'CCCCCC', 'start': 'CCCCCC', 'end': 'CCCCCC'}
    margins is a dict like {'top': 100, 'bottom': 100, 'left': 150, 'right': 150}
    """
    tcPr = cell._tc.get_or_add_tcPr()
    
    # Remove existing properties to avoid duplicates and sequence violations
    existing_borders = tcPr.find(qn('w:tcBorders'))
    if existing_borders is not None:
        tcPr.remove(existing_borders)
    existing_shd = tcPr.find(qn('w:shd'))
    if e

… 30,512 more characters of output in the raw trajectory.

Arguments

Generate the schema-fixed Word Operations Reconciliation Memorandum.

python /workspace/generate_memo_fixed.py

Output

<untrusted_context>
Output: Word memo saved successfully!
Process Group PGID: 1669
</untrusted_context>

Arguments

Validate schema compliance of the updated Word document.

python /root/.gemini/skills/docx/scripts/office/validate.py /workspace/output/access_reconciliation_memo.docx

Output

<untrusted_context>
Output: FAILED - Found NEW validation errors:
  word/document.xml: 2 new error(s)
    - Element '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}start': This element is not expected. Expected is one of ( {http://schemas.openxmlformats.org/wordprocessingml/2006/main}end, {http://schemas.openxmlformats.org/wordprocessingml/2...
    - Element '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}left': This element is not expected. Expected is one of ( {http://schemas.openxmlformats.org/wordprocessingml/2006/main}end, {http://schemas.openxmlformats.org/wordprocessingml/20...

Paragraphs: 0 → 162 (+162)
Exit Code: 1
Process Group PGID: 1672
</untrusted_context>

Arguments

import os
import docx
from docx.shared import Inches, Pt, RGBColor
from docx.enum.text import WD_ALIGN_PARAGRAPH
from docx.enum.table import WD_TABLE_ALIGNMENT, WD_ALIGN_VERTICAL
from docx.oxml import OxmlElement
from docx.oxml.ns import qn

def style_cell_clean(cell, bg_color=None, borders=None, margins=None):
    """
    Apply background color, borders, and margins to a cell in schema-compliant order.
    """
    tcPr = cell._tc.get_or_add_tcPr()
    
    # Remove existing properties to avoid duplicates and sequence violations
    existing_borders = tcPr.find

… 32,401 more characters of arguments in the raw trajectory.

Output

Successfully overwrote file: /workspace/generate_memo_fixed.py. Here is the updated code:
...
from docx.oxml.ns import qn

def style_cell_clean(cell, bg_color=None, borders=None, margins=None):
    """
    Apply background color, borders, and margins to a cell in schema-compliant order.
    """
    tcPr = cell._tc.get_or_add_tcPr()
    
    # Remove existing properties to avoid duplicates and sequence violations
    existing_borders = tcPr.find(qn('w:tcBorders'))
...
        
    # Append elements in exact schema-compliant order:
    # 1. tcBorders
    if borders is not None:
        tcBorders = OxmlElement('w:tcBorders')
        # Strict schema order: top, left, start, bottom, right, end, insideH, insideV
        border_order = ['top', 'left', 'start', 'bottom', 'right', 'end', 'insideH', 'insideV']
        for b_name in border_order:
            if b_name in borders:
                b_color = borders[b_name]
                if b_color is not None:
                    b = OxmlElement(

… 4,688 more characters of output in the raw trajectory.

Arguments

Generate the schema-fixed Word Operations Reconciliation Memorandum.

python /workspace/generate_memo_fixed.py

Output

<untrusted_context>
Output: Word memo saved successfully!
Process Group PGID: 1675
</untrusted_context>

Arguments

Validate schema compliance of the updated Word document.

python /root/.gemini/skills/docx/scripts/office/validate.py /workspace/output/access_reconciliation_memo.docx

Output

<untrusted_context>
Output: Paragraphs: 0 → 162 (+162)
All validations PASSED!
Process Group PGID: 1678
</untrusted_context>

Arguments

I have completed the Meadowbrook Access Services Friday cutover queue reconciliation. I systematically analyzed all 16 referrals, resolved data discrepancy conflicts by matching with the authorized Care-Coordination Notes, and scheduled 9 clients into eligible high-acuity slots. This reserved a total of 480 clinical minutes, left 2 priority cases unresolved due to clinical constraints, and flagged 4 clients with protected contact restrictions. I delivered two highly polished, schema-compliant files to /workspace/output/ which have passed all automated validation audits: access_reco

… 327 more characters of arguments in the raw trajectory.

Output

Current topic: "Operations Reconciliation Completion"
Topic summary: I have completed the Meadowbrook Access Services Friday cutover queue reconciliation. I systematically analyzed all 16 referrals, resolved data discrepancy conflicts by matching with the authorized Care-Coordination Notes, and scheduled 9 clients into eligible high-acuity slots. This reserved a total of 480 clinical minutes, left 2 priority cases unresolved due to clinical constraints, and flagged 4 clients with protected contact restrictions. I delivered two highly polished, schema-compliant files to /workspace/output/ which have passed all automated validation audits: access_reconciliation_memo.docx and routing_reconciliation_workbook.xlsx.

Strategic Intent: Provide the final summary of the operations reconciliation, detailing the routing of all 16 clients, the reserved capacity (480 minutes), the unresolved cases, and the protected-contact caveats.