google-sheets — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited google-sheets (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Lightweight Google Sheets integration with standalone OAuth authentication. No MCP server required. Full read/write access.
Requires Google Workspace account. Personal Gmail accounts are not supported.
Authenticate with Google (opens browser):
python scripts/auth.py loginCheck authentication status:
python scripts/auth.py statusLogout when needed:
python scripts/auth.py logoutAll operations via scripts/sheets.py. Auto-authenticates on first use if not logged in.
# Get spreadsheet content as plain text (default)
python scripts/sheets.py get-text SPREADSHEET_ID
# Get spreadsheet content as CSV
python scripts/sheets.py get-text SPREADSHEET_ID --format csv
# Get spreadsheet content as JSON
python scripts/sheets.py get-text SPREADSHEET_ID --format json
# Get values from a specific range (A1 notation)
python scripts/sheets.py get-range SPREADSHEET_ID "Sheet1!A1:D10"
python scripts/sheets.py get-range SPREADSHEET_ID "A1:C5"
# Find spreadsheets by search query
python scripts/sheets.py find "budget 2024"
python scripts/sheets.py find "sales report" --limit 5
# Get spreadsheet metadata (sheets, dimensions, etc.)
python scripts/sheets.py get-metadata SPREADSHEET_ID# Update a range of cells with values (JSON 2D array)
python scripts/sheets.py update-range SPREADSHEET_ID "Sheet1!A1:B2" '[["Hello","World"],["Foo","Bar"]]'
# Update with RAW input (no formula parsing, treats everything as literal text)
python scripts/sheets.py update-range SPREADSHEET_ID "Sheet1!A1:B1" '[["=SUM(A1:A5)","text"]]' --raw
# Append rows after the last data row
python scripts/sheets.py append-rows SPREADSHEET_ID "Sheet1!A:Z" '[["New Row Col A","New Row Col B"]]'
# Clear values from a range (keeps formatting)
python scripts/sheets.py clear-range SPREADSHEET_ID "Sheet1!A1:B10"
# Batch update (advanced - for formatting, merging, etc.)
python scripts/sheets.py batch-update SPREADSHEET_ID '[{"updateCells":{"range":{"sheetId":0},"fields":"userEnteredValue"}}]'You can use either:
1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upmshttps://docs.google.com/spreadsheets/d/1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms/editThe script automatically extracts the ID from URLs.
Human-readable format with pipe separators:
Spreadsheet Title: Sales Data
Sheet Name: Q1
Name | Revenue | Units
Product A | 10000 | 50
Product B | 15000 | 75Standard CSV format, suitable for further processing:
Name,Revenue,Units
Product A,10000,50
Product B,15000,75Structured data format:
{
"Q1": [
["Name", "Revenue", "Units"],
["Product A", "10000", "50"]
]
}Sheet1!A1:B10 - Range A1 to B10 on Sheet1Sheet1!A:A - All of column A on Sheet1Sheet1!1:1 - All of row 1 on Sheet1A1:C5 - Range on the first sheet--raw flag): Values are stored exactly as provided. No parsing of formulas or number formatting.Tokens stored securely using the system keyring:
Service name: google-sheets-skill-oauth
Tokens automatically refresh when expired using Google's cloud function.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.