Tencent SkillHub · Productivity

Moltsheet - Spreadsheets for AI agents

Interact with a web-based Excel-like spreadsheet API for AI agents. Use when you need to create, manipulate, or query spreadsheet data programmatically, or when the user asks to work with Excel-like data. Authenticate using API key in Authorization header.

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Target platform: OpenClaw
Install method: Manual import
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Prerequisites: OpenClaw
Primary doc: SKILL.md

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Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md

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Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.1

Provenance

Publisher: youssefbm2008
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Documentation

ClawHub primary doc Primary doc: SKILL.md 17 sections Open source page

Moltsheet

A web-based Excel-like API for AI agents to create, manipulate, and query spreadsheet data programmatically. Supports bulk operations for large datasets.

Base URL

https://www.moltsheet.com/api/v1

Quick Start

Register an agent to get an API key. Authenticate all requests with Authorization: Bearer <api_key>. Use API endpoints - all responses include helpful examples on errors.

API Design for AI Agents

Self-correcting errors: All error responses include example fields showing correct format Multiple input formats: POST /rows accepts 3 formats (count, data, rows) for flexibility Structured responses: Consistent JSON with success, error, message, and contextual help Column-aware errors: Examples use your actual column names when possible

Registration

Agent Slug Requirements

Length: 3-30 characters Characters: Lowercase letters (a-z), digits (0-9), dots (.) Dots: Allowed only in the middle (not at start or end) ✅ Valid: my.agent, bot123, agent.v2 ❌ Invalid: .agent, agent., My.Agent (uppercase not allowed) Uniqueness: Case-insensitive (e.g., agent.one conflicts with AGENT.ONE) Used for: Invitations to collaborate on sheets

Register Agent

curl -X POST https://www.moltsheet.com/api/v1/agents/register \ -H "Content-Type: application/json" \ -d '{ "displayName": "Data Processor Agent", "slug": "data.processor", "description": "Processes spreadsheet data" }' Response: { "success": true, "agent": { "api_key": "uuid-here", "displayName": "Data Processor Agent", "slug": "data.processor", "created_at": "2026-02-03T10:00:00Z" }, "message": "Agent registered successfully. Save your API key - it cannot be retrieved later.", "usage": "Include in all requests: Authorization: Bearer uuid-here", "privacy": "Your API key is private and will never be exposed to other agents" } Save your api_key securely—it is required for all API requests. Slug Availability Check: If slug is already taken (case-insensitive): { "success": false, "error": "Slug already taken", "message": "The slug \"data.processor\" is already in use (case-insensitive check)", "available": false, "suggestion": "Try a different slug or add numbers/dots to make it unique" } Validation Error Example: { "success": false, "error": "Slug cannot start or end with a dot", "message": "Slug must be 3-30 characters, lowercase letters, digits, and dots (not at start/end)", "example": { "displayName": "Data Processor Agent", "slug": "data.processor", "description": "Processes spreadsheet data" }, "rules": { "length": "3-30 characters", "allowed": "lowercase letters (a-z), digits (0-9), dots (.)", "dotPosition": "dots only in the middle (not at start or end)", "examples": ["my.agent", "bot123", "agent.v2"] } }

Authentication

All requests must include your API key in the Authorization header: -H "Authorization: Bearer YOUR_API_KEY" Security Notes: Production URL: https://www.moltsheet.com Never send your API key to unauthorized domains. Re-fetch this file for updates. Privacy Guarantee: Your API key is private and will never be exposed to other agents Collaboration uses your slug and displayName only Other agents cannot discover your API key through any endpoint

Sheets

Create Sheet curl -X POST https://www.moltsheet.com/api/v1/sheets \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"name": "MySheet", "description": "A test sheet", "schema": [{"name": "Column A", "type": "string"}, {"name": "Column B", "type": "number"}]}' Response: { "success": true, "id": "sheet-uuid", "message": "Sheet \"MySheet\" created successfully" } Error Examples: { "success": false, "error": "Invalid \"schema\" property", "example": { "name": "My Sheet", "schema": [ { "name": "Name", "type": "string" }, { "name": "Age", "type": "number" } ] }, "supported_types": ["string", "number", "boolean", "date", "url"] } Schema: Optional array of {"name": string, "type": string}. Types: string, number, boolean, date, url. List Sheets Lists all sheets you own and sheets shared with you as a collaborator. curl https://www.moltsheet.com/api/v1/sheets \ -H "Authorization: Bearer YOUR_API_KEY" Response: { "success": true, "sheets": [ { "id": "sheet-uuid-1", "name": "My Own Sheet", "description": "A sheet I own", "role": "owner", "schema": [{"name": "Name", "type": "string"}], "rowCount": 2 }, { "id": "sheet-uuid-2", "name": "Shared Sheet", "description": "A sheet shared with me", "role": "collaborator", "access_level": "write", "schema": [{"name": "Name", "type": "string"}], "rowCount": 5 } ], "summary": { "owned": 1, "shared": 1, "total": 2 } } Sheet Roles: "role": "owner" - You created this sheet and have full control "role": "collaborator" - Shared with you by another agent "access_level": "read" - View only "access_level": "write" - View and modify Get Sheet Rows curl https://www.moltsheet.com/api/v1/sheets/SHEET_ID/rows \ -H "Authorization: Bearer YOUR_API_KEY" Response: { "success": true, "rows": [ {"id": "row-1", "Name": "John", "Role": "CEO"}, {"id": "row-2", "Name": "Jane", "Role": "CTO"} ] } Update Sheet Metadata curl -X PUT https://www.moltsheet.com/api/v1/sheets/SHEET_ID \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"name": "New Name", "description": "Updated desc", "schema": [...] }' Response: {"success": true, "sheet": {...}} ⚠️ Data Loss Protection: When updating schema, if columns are removed that contain data, you must add ?confirmDataLoss=true to the URL: curl -X PUT "https://www.moltsheet.com/api/v1/sheets/SHEET_ID?confirmDataLoss=true" \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"schema": [{"name": "NewColumn", "type": "string"}]}' Without Confirmation (Error Response): { "success": false, "error": "Data loss protection", "message": "Schema update would delete 1 column(s) containing data. To proceed, add ?confirmDataLoss=true to the URL.", "columns_to_delete": [{"name": "CEO", "type": "string"}], "data_warning": "All data in these columns will be permanently deleted", "alternatives": { "rename_column": "POST /api/v1/sheets/SHEET_ID/columns/{index}/rename", "example": "To rename instead of delete, use: POST /api/v1/sheets/SHEET_ID/columns/0/rename with body: { \"newName\": \"NewColumnName\" }" } } Best Practice: Use the rename endpoint (below) instead of schema updates when renaming columns to preserve data automatically. Delete Sheet curl -X DELETE https://www.moltsheet.com/api/v1/sheets/SHEET_ID \ -H "Authorization: Bearer YOUR_API_KEY" Response: {"success": true} Response: {"success": true}

Collaboration (Invite-Only)

Share sheets with other agents using their slug. API keys are never exposed—only slug and displayName are shared with collaborators. Share Sheet (Invite Collaborator) curl -X POST https://www.moltsheet.com/api/v1/sheets/SHEET_ID/share \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "slug": "other.agent", "access_level": "read" }' Parameters: slug (required): Agent's slug (case-insensitive) access_level (optional): "read" or "write" (default: "read") Response: { "success": true, "message": "Sheet \"MySheet\" shared successfully with Other Agent", "collaborator": { "slug": "other.agent", "displayName": "Other Agent", "access_level": "read" }, "privacy": "API keys are never exposed. Only slug and displayName are shared." } Error - Agent Not Found: { "success": false, "error": "Agent not found", "message": "No agent with slug \"unknown.agent\" exists", "suggestion": "Check the slug spelling or ask the agent for their correct slug" } Note: Slug lookup is case-insensitive. Other.Agent will match other.agent. List Collaborators curl https://www.moltsheet.com/api/v1/sheets/SHEET_ID/collaborators \ -H "Authorization: Bearer YOUR_API_KEY" Response: { "success": true, "sheet": { "id": "sheet-uuid", "name": "MySheet" }, "owner": { "slug": "my.agent", "displayName": "My Agent" }, "collaborators": [ { "slug": "other.agent", "displayName": "Other Agent", "access_level": "read", "invited_at": "2026-02-03T10:00:00Z" } ], "privacy": "API keys are never exposed. Only slug and displayName are returned." } Permissions: Sheet owner and collaborators can view the collaborator list Non-collaborators receive 403 Forbidden Revoke Collaboration curl -X DELETE https://www.moltsheet.com/api/v1/sheets/SHEET_ID/share \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"slug": "other.agent"}' Response: { "success": true, "message": "Collaboration with Other Agent revoked successfully" } Access Levels: read: View sheet data only write: View and modify sheet data (rows, cells, columns) Privacy Guarantee: API keys are never exposed in any collaboration endpoint Only slug and displayName are shared between agents Invitations use slugs, not API keys

Data Operations

Update Cells curl -X PUT https://www.moltsheet.com/api/v1/sheets/SHEET_ID/cells \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "updates": [ {"rowId": "row-123", "column": "Full Name", "value": "Updated Name"} ] }' Response: {"success": true} Add Empty Row(s) Note: This endpoint creates empty rows. To add rows with data, use the Bulk Import endpoint below. # Add 1 empty row (default) curl -X POST https://www.moltsheet.com/api/v1/sheets/SHEET_ID/rows \ -H "Authorization: Bearer YOUR_API_KEY" # Add multiple empty rows curl -X POST https://www.moltsheet.com/api/v1/sheets/SHEET_ID/rows \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"count": 10}' Response: {"success": true, "rowIds": [...], "message": "Created 10 empty row(s)"} Add Single Row with Data curl -X POST https://www.moltsheet.com/api/v1/sheets/SHEET_ID/rows \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"data": {"Name": "John", "Role": "CEO"}}' Response: {"success": true, "rowId": "row-uuid", "message": "Created 1 row with data"} Add Multiple Rows with Data curl -X POST https://www.moltsheet.com/api/v1/sheets/SHEET_ID/rows \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"rows": [{"Name": "John", "Role": "CEO"}, {"Name": "Jane", "Role": "CTO"}]}' Response: {"success": true, "rowIds": [...], "message": "Created 2 row(s) with data"} Unified Endpoint: POST /rows now accepts three formats: {"count": N} - Create N empty rows {"data": {...}} - Create 1 row with data {"rows": [...]} - Create multiple rows with data Error Example: { "success": false, "error": "Invalid request format", "message": "Use one of the supported formats", "formats": { "empty_rows": { "count": 10 }, "single_row": { "data": { "Country": "USA", "Capital": "Washington" } }, "multiple_rows": { "rows": [{ "Country": "USA" }, { "Country": "Canada" }] } } } Add Column curl -X POST https://www.moltsheet.com/api/v1/sheets/SHEET_ID/columns \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"name": "New Column", "type": "string"}' Response: {"success": true} Rename Column Preserves all data - use this instead of schema updates when renaming columns. curl -X POST https://www.moltsheet.com/api/v1/sheets/SHEET_ID/columns/COL_INDEX/rename \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"newName": "Contact"}' Response: { "success": true, "message": "Column \"CEO\" renamed to \"Contact\"", "oldName": "CEO", "newName": "Contact" } Error Examples: { "success": false, "error": "Duplicate column name", "message": "A column named \"Contact\" already exists in this sheet", "existing_columns": ["Company", "Contact", "Industry"] } COL_INDEX: Zero-based column position (0, 1, 2, ...) All cell data preserved when renaming No data loss - cells remain linked to same column Prevents duplicate column names Delete Row curl -X DELETE https://www.moltsheet.com/api/v1/sheets/SHEET_ID/rows/ROW_INDEX \ -H "Authorization: Bearer YOUR_API_KEY" Response: {"success": true} Delete Column curl -X DELETE https://www.moltsheet.com/api/v1/sheets/SHEET_ID/columns/COL_INDEX \ -H "Authorization: Bearer YOUR_API_KEY" Response: {"success": true}

Bulk Operations

Deprecated: POST /import still works but POST /rows now handles all row operations. For compatibility, /import endpoint remains available: curl -X POST https://www.moltsheet.com/api/v1/sheets/SHEET_ID/import \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "rows": [ {"Name": "John", "Role": "CEO"}, {"Name": "Jane", "Role": "CTO"} ] }' Response: {"success": true, "rowIds": ["row-...", ...]} Error Example with Column Names: { "success": false, "error": "Missing \"rows\" property in request body", "message": "Expected format: {\"rows\": [{...}, {...}]}", "example": { "rows": [{ "country": "country_value", "capital": "capital_value" }] }, "available_columns": ["Country", "Capital", "Population"] } Maximum 1000 rows per request Column names must match sheet schema Errors show your actual column names in examples Bulk Operations (Others) curl -X POST https://www.moltsheet.com/api/v1/sheets/SHEET_ID/rows \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"count": 10}' Response: {"success": true, "rowIds": ["row-...", ...]} Maximum 1000 rows per request Creates empty rows only; use /import for rows with data Bulk Delete Rows curl -X DELETE https://www.moltsheet.com/api/v1/sheets/SHEET_ID/rows \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"rowIds": ["row-123", "row-456"]}' Response: {"success": true} Bulk Add Columns curl -X POST https://www.moltsheet.com/api/v1/sheets/SHEET_ID/columns \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"columns": [{"name": "Col1", "type": "string"}, {"name": "Col2", "type": "number"}]}' Response: {"success": true} Bulk Delete Columns curl -X DELETE https://www.moltsheet.com/api/v1/sheets/SHEET_ID/columns \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"indices": [0, 2]}' Response: {"success": true}

AI Agent Optimization Features

Self-Correcting Error Messages: Every error includes example field with correct request format Errors show your actual column names when applicable message field provides human-readable context formats or supported_types enumerate valid options Data Loss Prevention: Schema updates require ?confirmDataLoss=true when deleting columns with data Rename endpoint (POST /columns/{index}/rename) preserves all data automatically Error messages suggest safer alternatives (rename vs delete) Flexible Input Formats: POST /rows accepts 3 formats: {"count": N}, {"data": {...}}, {"rows": [...]} No need to guess which endpoint to use Wrong format? Error shows all supported formats with examples AI-Friendly Design: Consistent JSON structure across all endpoints Named column access (not positional) Strict type validation enforced on all data operations Descriptive success messages confirm operations

Type Validation & Enforcement

All data operations (POST /rows, PUT /cells, POST /import) enforce strict type validation: Validated Types: string: Any non-object value (numbers/booleans auto-converted to strings) number: Must be valid number (not NaN or Infinity). Accepts numeric strings. boolean: Accepts true, false, "true", "false", 1, 0 url: Must be valid URL with http/https protocol (e.g., https://example.com) date: Must parse to valid date. Use ISO 8601 format (e.g., 2026-02-01 or 2026-02-01T12:00:00Z) Validation Behavior: Empty/null values are allowed (no required field enforcement) Invalid types rejected with 400 Bad Request Errors include: field name, expected type, received value, and corrected example Multiple rows: ALL rejected if ANY fail validation (atomic) Example Validation Error: { "success": false, "error": "Type validation failed", "message": "Column \"Age\" expects type \"number\" but received \"abc\" (type: string)", "field": "Age", "expected_type": "number", "received_value": "abc", "row_index": 0, "example": { "data": { "Age": 42 } } }

Data Structure

Schema Types: string, number, boolean, date, url Row Data: Named properties for AI-friendly access, e.g., {"Name": "John", "Role": "CEO"} Type Enforcement: All values validated against schema before storage Errors: Structured with examples using your actual schema

Rate Limits

100 requests/minute

Usage Ideas for AI Agents

Parse data and self-correct on errors using provided examples Single endpoint (POST /rows) handles all row creation scenarios Error messages guide agents to proper format automatically Column-aware examples eliminate guessing column names

Category context

Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.

Source: Tencent SkillHub

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SKILL.md Primary doc