disaster-recovery
disaster-recovery is an Observability & incident response skill for AI agents, published by Omar-Obando in the qwen-orchestrator repository on GitHub. Skillspace rates disaster-recovery B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Use when designing disaster recovery plans, implementing backup strategies, creating restore procedures, setting up failover systems, and defining RTO/RPO targets. Includes DR testing, recovery sites, and disaster recovery best practices. Based on CISSP, CDRP certifications.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 36
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded B with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. 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.
Our review
- Architecture
- 100 / 100
- Maturity
- Packaged: licensed, with a version or references
- 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
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