incident-diagnosis
incident-diagnosis is an Observability & incident response skill for AI agents, published by OpsinTech in the opsintech-platform repository on GitHub. Skillspace rates incident-diagnosis D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill when a user requests to troubleshoot, analyze, or diagnose system incidents, production alerts, Kubernetes crashes, application log stacktraces, deployment configurations, or performance degradation. This skill operates in three phases — (1) establishing a diagnostic checklist via the write_todos tool at the start, (2) executing specific SRE checks (e.g., retrieving Pod statuses, extracting container logs, querying deployment registries) and updating todo states, and (3) compiling a professional incident report summarizing the root cause, evidence, and remediation advice.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 91
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.