mongodb-atlas-stream-processing
mongodb-atlas-stream-processing is a Streaming & real-time data skill for AI agents, published by fcakyon in the claude-codex-settings repository on GitHub. Skillspace rates mongodb-atlas-stream-processing C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 1,142
Unproven: rated by static analysis only, not yet compared head-to-head.
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Our review
- Architecture
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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