autonomous-ops-watch
autonomous-ops-watch is an Observability & incident response skill for AI agents, published by oracle-devrel in the technology-engineering repository on GitHub. Skillspace rates autonomous-ops-watch C (70/100) and it passed the safety scan; the rating is based on static analysis only.
inspect sql-observable operational evidence for one connected oracle autonomous ai lakehouse. use when users ask for maintenance notifications, patch identifiers or patch details, client errors, lockdown profile errors, operator access audit evidence, unified audit highlights, active or blocking sessions, invalid objects, compile errors, table or partition access statistics, or an operations summary based only on sql evidence. this skill is read-only, sql/mcp-first, and does not use oci apis, oci events, console, cli, lifecycle actions, resource principal views, or external schedulers.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 175
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- UPL-1.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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.