netpadManage NetPad forms, submissions, users, and RBAC. Use when: (1) Creating forms with custom fields, (2) Submitting data to forms, (3) Querying form submissions, (4) Managing users/groups/roles (RBAC), (5) Installing NetPad apps from marketplace. Requires NETPAD_API_KEY for API, or `netpad login` for CLI.
Install via ClawdBot CLI:
clawdbot install mrlynn/netpadInstall NetPad CLI (npm):
Install NetPad CLI (npm)Requires:
Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://mlynn.orgAudited Apr 18, 2026 · audit v1.0
Generated Mar 21, 2026
A SaaS company creates custom feedback forms to gather user insights after product updates. They use NetPad to design forms with rating scales, open-ended questions, and demographic fields, then analyze submissions to prioritize feature development and improve customer satisfaction.
An event planning agency builds registration forms for conferences with fields for attendee details, session preferences, and payment information. They use NetPad to publish forms, track submissions in real-time, and export data for badge printing and catering logistics.
An HR department designs multi-step onboarding forms to collect new hire information, tax documents, and equipment requests. They use NetPad's RBAC to restrict access to sensitive data, automate submission notifications to IT and payroll teams, and maintain compliance records.
A utility company creates mobile-friendly forms for technicians to report maintenance work, including photo uploads, location data, and safety checklists. Submissions are queried via API to update asset databases, generate invoices, and monitor service quality across regions.
A clinic designs HIPAA-compliant forms for patient registration, medical history, and consent agreements. They use NetPad to secure submissions with API keys, integrate data into electronic health records, and streamline front-desk operations while maintaining privacy standards.
Offer NetPad as a white-labeled form platform where clients pay monthly fees based on form count, submissions volume, and advanced features like RBAC or API access. Revenue comes from tiered subscriptions, with premium plans including custom integrations and priority support.
Provide end-to-end form design and data management services using NetPad, charging project-based or retainer fees. Revenue is generated from consulting, custom form development, submission analytics, and ongoing maintenance for clients in sectors like marketing or non-profits.
Develop and sell pre-built NetPad apps in the marketplace, such as survey templates or workflow automations, earning revenue from one-time purchases or usage-based commissions. Additional income can come from premium support or customization services for these apps.
💬 Integration Tip
Use the REST API with curl and jq for scripting automated workflows, and set NETPAD_API_KEY environment variables to switch between test and production environments seamlessly.
Scored May 17, 2026
全体系命理大师 — 八字四柱、紫微斗数、奇门遁甲、六爻、梅花易数、塔罗、星盘、 数字命理、九宫飞星风水、掌纹面相、起名命名、穿衣搭配、合婚择吉一站式解读。本地档案、可选每日推送(默认关闭)、 浏览器六爻界面与 HTML 报告。仅作文化参考,不替代医疗、法律、心理、财务、婚姻等 专业建议;遇重大决策请咨询专业人士。
Local search/indexing CLI (BM25 + vectors + rerank) with MCP mode.
Access AI-powered football match predictions from hergunmac.com. Use when the user asks about football/soccer match predictions, betting tips, match analysis, team statistics, head-to-head data, or upcoming match insights. Covers worldwide leagues with confidence scores, AI reasoning, and historical performance tracking.
Use when designing database schemas, writing migrations, optimizing SQL queries, fixing N+1 problems, creating indexes, setting up PostgreSQL, configuring EF Core, implementing caching, partitioning tables, or any database performance question.
browse MongoDB Atlas Admin API specifications and execute operations (if credentials provided).
Voyage AI embedding and reranking CLI integrated with MongoDB Atlas Vector Search. Use for: generating text embeddings, reranking search results, storing embeddings in Atlas, performing vector similarity search, creating vector search indexes, listing available models, comparing text similarity, bulk ingestion, interactive demos, and learning about AI concepts. Triggers: embed text, generate embeddings, vector search, rerank documents, voyage ai, semantic search, similarity search, store embeddings, atlas vector search, embedding models, cosine similarity, bulk ingest, explain embeddings.