Co-Pilot
Updated a month ago

sheets-cli

Ggmickel
0.0k
gmickel/sheets-cli
82
Agent Score

💡 Summary

A CLI tool for reading, writing, and updating Google Sheets data efficiently.

🎯 Target Audience

Data analysts looking to automate spreadsheet tasksDevelopers needing to integrate Google Sheets with applicationsProject managers managing tasks in Google SheetsData entry personnel seeking to streamline their workflow

🤖 AI Roast:Powerful, but the setup might scare off the impatient.

Security AnalysisMedium Risk

Risk: Medium. Review: shell/CLI command execution; outbound network access (SSRF, data egress); API keys/tokens handling and storage; filesystem read/write scope and path traversal. Run with least privilege and audit before enabling in production.


name: sheets-cli description: Read, write, and update Google Sheets data via CLI. Use when the user asks to read spreadsheet data, update cells, append rows, or work with Google Sheets. Triggers on mentions of spreadsheets, sheets, Google Sheets, tabular data in the cloud, or specific sheet names like "Projects" or "Tasks".

sheets-cli

CLI for Google Sheets primitives. Read tables, append rows, update cells by key or index, batch operations.

Installation: sheets-cli is already installed and available in the user's PATH. Run commands directly—no installation needed.

Quick Reference

# Find spreadsheet by name sheets-cli sheets find --name "Projects" # List sheets/tabs sheets-cli sheets list --spreadsheet <id-or-url> # Read table data sheets-cli read table --spreadsheet <id> --sheet "Sheet1" --limit 100 # Update by key column (preferred - rows can shift) sheets-cli update key --spreadsheet <id> --sheet "Projects" \ --key-col "Name" --key "Acme" --set '{"Status":"Done"}' # Append row sheets-cli append --spreadsheet <id> --sheet "Projects" \ --values '{"Name":"NewCo","Status":"Active"}'

Workflow Pattern

Always follow read → decide → dry-run → apply:

# 1. Understand current state sheets-cli read table --sheet "Tasks" --limit 100 # 2. Dry-run first sheets-cli update key --sheet "Tasks" --key-col "ID" --key "TASK-42" \ --set '{"Status":"Complete"}' --dry-run # 3. Apply if dry-run looks correct sheets-cli update key --sheet "Tasks" --key-col "ID" --key "TASK-42" \ --set '{"Status":"Complete"}'

Commands

Auth (Setup)

sheets-cli auth login --credentials <oauth-client.json> sheets-cli auth status sheets-cli auth logout

Find Spreadsheet by Name

sheets-cli sheets find --name "<query>" [--limit 10]

Searches Google Drive for spreadsheets matching the name. Returns ID, name, URL.

Requires Google Drive API enabled in the project.

List Sheets/Tabs

sheets-cli sheets list --spreadsheet <id>

Sheet Info

sheets-cli sheet info --spreadsheet <id> --sheet "<name>" sheets-cli sheet info --spreadsheet <id> --gid <gid>

Get sheet metadata by name or GID.

Get Header Row

sheets-cli header --spreadsheet <id> --sheet "<name>" [--header-row N]

Returns column headers. Auto-detects header row if not specified.

Read Table Data

sheets-cli read table --spreadsheet <id> --sheet "<name>" [--limit N] [--raw]

Returns { headers: ["_row", ...], rows: [{_row: N, ...}, ...], headerRow: N }.

Each row includes _row - the absolute sheet row number for use with update row.

Read Raw Range

sheets-cli read range --spreadsheet <id> --range "Sheet1!A1:B10"

Append Row

sheets-cli append --spreadsheet <id> --sheet "<name>" \ --values '<json>' [--dry-run]

JSON object with column names as keys. Column matching is case-insensitive with normalized whitespace.

Update by Key (Preferred)

sheets-cli update key --spreadsheet <id> --sheet "<name>" \ --key-col "<column>" --key "<value>" --set '<json>' \ [--allow-multi] [--dry-run]

Finds rows where key-col equals key, updates columns from --set. Throws if multiple matches unless --allow-multi.

Update by Row Index

sheets-cli update row --spreadsheet <id> --sheet "<name>" \ --row <n> --set '<json>' [--dry-run]

Updates specific row by 1-indexed row number. Use _row from read table output directly.

Row Numbering

  • read table returns headerRow and rows with _row field
  • _row is the absolute sheet row number - use directly with update row --row
  • Example: headerRow: 2 means headers on row 2, first data row is _row: 3
  • Never calculate row numbers manually - always use _row from read output

Set Range

sheets-cli set range --spreadsheet <id> --range "Sheet1!A1:B2" \ --values '<2d-json-array>' [--dry-run]

Batch Operations

sheets-cli batch --spreadsheet <id> --ops '<json-array>' [--dry-run]

Operations: append, updateRow, updateKey, setRange.

Global Options

| Option | Description | |--------|-------------| | --spreadsheet <id> | Spreadsheet ID or full URL | | --dry-run | Preview without applying | | --header-row <n> | Header row (auto-detects if omitted) | | --value-input <mode> | USER_ENTERED (default) or RAW |

Output Format

All commands return JSON:

{ "ok": true, "cmd": "update key", "spreadsheetId": "...", "sheet": "Projects", "result": { "matchedRows": 1, "updatedCells": 2 } }

Errors:

{ "ok": false, "cmd": "update key", "error": { "code": "VALIDATION_ERROR", "message": "..." } }

Best Practices

  1. Use sheets find to get spreadsheet ID from name
  2. --spreadsheet accepts URLs - paste full Google Sheets URL directly
  3. Prefer key-based updates over row indices - rows shift on insert/delete
  4. Always dry-run before writes
  5. Check ok field in response before proceeding
  6. Batch related operations for atomicity
  7. Column names match case-insensitively with normalized whitespace
  8. Header row auto-detects - skips empty rows to find first data row
  9. Headerless sheets: read table returns columns as A, B, ...; use column letters for --set / --key-col
  10. Empty sheets: append can bootstrap by writing a header row from JSON keys
  11. read table --range accepts A1:Z (auto-prefixed with the sheet)

Exit Codes

| Code | Meaning | |------|---------| | 0 | Success | | 10 | Validation error | | 20 | Auth error | | 30 | Permission error | | 40 | API/transient error |

5-Dim Analysis
Clarity9/10
Novelty7/10
Utility8/10
Completeness9/10
Maintainability8/10
Pros & Cons

Pros

  • No installation required; ready to use
  • Supports batch operations for efficiency
  • Clear command structure with helpful options

Cons

  • Requires Google Drive API setup
  • Limited to command line interface, no GUI
  • Potentially steep learning curve for new users

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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.

Copyright belongs to the original author gmickel.