wukongim-cloud-analysis

wukongim-cloud-analysis is an Observability & incident response skill for AI agents, published by WuKongIM in the WuKongIM repository on GitHub. Skillspace rates wukongim-cloud-analysis C (74/100) and it passed the safety scan; the rating is based on static analysis only.

Diagnose one exact live WuKongIM cloud Simulation Run through the repository Analysis MCP. Use when the user or a GitHub Analysis Workflow asks Codex to inspect a run's cluster state, Prometheus signals, application logs, diagnostics, Controller task audits, profiles, or redacted config; determine whether a finding is product, infrastructure, scenario, healthy, or insufficient evidence; or verify whether the run was already released. Do not use for provisioning, cleanup, repository mutation, or historical analysis after release.

Grade
C
Quality
74 / 100
Safety
Passed
GitHub stars
4,884

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubWuKongIM/WuKongIM

Our review

Architecture
99 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Repo-internal: written for the repository it lives in. Uses the repository's own Analysis MCP and GitHub analysis workflows

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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