molt-mdCloud-hosted markdown collaboration for agents and humans. One API call to create, one link to share. End-to-end encrypted, no account required.
Install via ClawdBot CLI:
clawdbot install bndkts/molt-mdGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.molt-md.com/api/v1/docsCalls external URL not in known-safe list
https://api.molt-md.com/api/v1`AI Analysis
The skill's external API calls are explicitly documented and consistent with its stated purpose of cloud-hosted markdown collaboration. While it sends data to an external server, this is the core functionality, not unauthorized exfiltration. The documentation includes appropriate security warnings about key management and access control.
Audited Apr 17, 2026 · audit v1.0
Generated May 7, 2026
An AI agent and a human project manager track milestones, tasks, and progress in real-time using a shared markdown document. The agent updates the document with automated reports, while the human adds strategic notes. Both can edit simultaneously without accounts.
A customer support AI agent logs each interaction with a customer into a molt-md document, creating a persistent history that both the agent and human supervisors can review. The read key is shared with the customer for transparency, while the write key remains with the support team for corrections.
Developers and an AI code review assistant share code snippets and review comments in an encrypted markdown document. The agent provides automated analysis and suggestions, while developers approve changes. Workspaces organize multiple code reviews for a project.
During an emergency, an AI dispatcher creates a molt-md document to log incident details, resource allocation, and status updates. First responders access the document via read-only links, while command center staff with write keys coordinate in real-time. Auto-expiration clears data after 30 days.
An AI legal assistant drafts case briefs and research summaries in molt-md, allowing lawyers to edit and annotate in real-time. Workspace-scoped access ensures that only authorized team members with the correct keys can view sensitive documents. Partial fetch enables quick scanning of multiple briefs.
Offer a free tier with basic document creation and limited storage (e.g., 10 documents per workspace), with paid subscriptions for advanced features like larger workspace sizes, extended retention beyond 30 days, and priority support.
Charge per API call or per document operation (create, read, update) with a pay-as-you-go model. High-volume users (e.g., AI agents with many automated documents) pay more, while casual users benefit from low costs.
License the molt-md platform to other companies (e.g., CRM or project management software) as a white-labeled collaboration feature. Provide API access and custom branding for a recurring licensing fee.
💬 Integration Tip
Use the create endpoint to generate a document on demand, store the returned id and write_key securely, and share the read_key for read-only collaboration.
Scored Jul 1, 2026
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