deploy-observability
deploy-observability is an MCP server development skill for AI agents, published by aliyun in the alibabacloud-observability-mcp-server repository on GitHub. Skillspace rates deploy-observability D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Deploy, start, and update the Alibaba Cloud Observability MCP Server (阿里云可观测 MCP Server). Use this skill whenever the user mentions deploying, installing, starting, updating, or configuring the observability MCP server, Alibaba Cloud SLS/CMS MCP tools, or wants to connect Alibaba Cloud monitoring to their AI coding agent. Also trigger when the user says things like 'set up MCP server', 'install observability tools', 'deploy aliyun MCP', 'configure SLS MCP', or 'update MCP server tools'.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 149
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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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