service-governance-diagnosis
Skill1 starsChanged 3 months agoMITView on GitHub
Diagnose microservice incidents using service health, instances, topology, and governance policy evidence across Alibaba Cloud, Huawei Cloud, and Baidu Cloud. Use for unhealthy instances, unexpected throttling, circuit breaking, routing errors, cascading failures, and service discovery incidents.
In this repository30 other files it gives its agents.
- api-syncSkill
- archive-changeSkill
- auto-flowSkill
- build-reportSkill
- change-impact-reviewSkill
- code-review-auditSkill
- code-reviewSkill
- coverage-reportSkill
- data-logic-validationSkill
- data-risk-auditSkill
- data-validationSkill
- dingtalk-notifySkill
- git-reviewSkill
- knowledge-opsSkill
- learning-engineSkill
- learning-feedbackSkill
- log-auditSkill
- offline-design-analysisSkill
- project-reviewSkill
- release-inspectionSkill
- report-insightsSkill
- requirement-analystSkill
- resource-bindSkill
- service-governance-auditSkill
- service-governance-changeSkill
- service-management-log-analysisSkill
- sls-log-auditSkill
- test-reportSkill
- yapi-sync-interfaceSkill
- yuque-sync-designSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 16
Keep all diagnosis operations read-only.
- Distinctive: line 18
Use requests such as:
- Distinctive: line 24
Read references/providers.md for provider-specific scope fields.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Service Governance Diagnosis
Correlate governance evidence without changing cloud state.
Workflow
- Resolve the configured
serviceGovernanceprovider. - Query service health, topology, instances, and active policies in parallel.
- Identify unhealthy instances, empty discovery results, missing governance protection, and dependency risks.
- Recommend evidence collection or a guarded policy preview.
- Keep all diagnosis operations read-only.
Use requests such as:
服务治理故障诊断 provider=aliyun-mse env=prod service=payment-serviceRead references/providers.md for provider-specific scope fields.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

