.claude/skills/huawei-cloud-mrs-spark-sql-checkRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Huawei Cloud MRS Spark SQL specification checking skill. Performs comprehensive SQL statement checking for MRS Spark, including syntax validation, specification compliance, and performance risk detection. triggers: "Spark SQL review", "check Spark SQL", "检查Spark SQL", "Spark SQL检查", "Spark SQL规范", "Spark SQL语法".
These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.
These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/huawei-cloud-mrs-spark-sql-checkRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/huawei-cloud-mrs-spark-sql-checkRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/huawei-cloud-mrs-spark-sql-checkRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.
clawhub install @huaweicloudskill/huawei-cloud-mrs-spark-sql-checkclawhub inspect @huaweicloudskill/huawei-cloud-mrs-spark-sql-check --version 1.0.1This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.
The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.
sha256:a45d3938a67bb0571969276ded5722bf5f9e1c5bd5614d4cbe154f29a98ab001assets/report_template.mdreferences/acceptance-criteria.mdreferences/ast-schema.mdrules/grammar_rules.pyrules/keywords.pyrules/perf_rules.yamlrules/spec_rules.yamlrules/syntax_rules.yamlscripts/spark_sql_checker.pyscripts/spark_sql_parser.pyscripts/spark_sql_tokenizer.pyskill-card.mdSKILL.md- Added detailed documentation in SKILL.md covering features, usage, architecture, supported SQL constructs, and check rules. - Clarified check modes (syntax, spec, all) and their functions. - Listed comprehensive syntax and specification check rules with descriptions and error/warning levels. - Documented security, prerequisites, and workflow for input handling and analysis steps. - Provided examples of Spark-specific syntax and typical use cases.