SKILLEMALL.ai

AB alibabacloud-migration-lhm-inspect-hive-metastore

执行 Hive 数据表探查任务,支持全量探查和增量探查,提供两种连接方式:DB 直连(通过 Metastore MySQL/PostgreSQL 数据库)和 Thrift 直连(通过 HMS Thrift API 端口 9083)。全量探查导出所有表的元数据、存储大小和 DDL;增量探查识别指定时间节点之后的表创建、结构变更、数据变更和分区变更。使用场景:用户提到"Hive 探查"、"全量探查"、"增量探查"、"Hive 元数据"、"hive_dive"、"metastore 变更"、"Thrift 探查"、"migration-lhm-inspect-hive-metastore"时调用此 skill。不适用于数据迁移执行、DDL 转换、数据写入等场景,这些功能由 migration-lhm-migrate-hive-to-paimon 等下游 skill 承担。

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.1 MIT-0 14 files · 1 script body ≈ 4 421 tokens Open the sourceclawhub.ai analyzed 2 d ago

执行 Hive 数据表探查任务,支持全量探查和增量探查,提供两种连接方式:DB 直连(通过 Metastore MySQL/PostgreSQL 数据库)和 Thrift 直连(通过 HMS Thrift API 端口 9083)。全量探查导出所有表的元数据、存储大小和…

As a process B 71/100 · Nearly there — no weak spots found

IntegrationPostgreSQLMySQLData and analyticsWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
95
Run on models
none yet
Process rating
B
71/100
Nearly there
When it triggers w 12
50
Failures and branches w 10
50
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 14. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 71/100

    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Execution cost. Instruction body is 4421 tokens
    • 100Steps. 60 steps
    • 100Consistency. Name and required fields are in place
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 15 top-level sections: this looks like several domains in one skill

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 6 example trigger phrases
    • +3Description length 388: enough signal without eating the budget
    • +4Structure: 48 headings
    • +3Step-by-step instructions: 60 items
    • +3Output format is stated explicitly
    • +4Has examples (18 code blocks)
    • +3All 12 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.

    External checks

    ClawHub: suspicious
    This skill is mostly an inspection tool, but it also bundles and documents migration-script and overwrite-SQL generators that go beyond the advertised read-only inspection purpose.
    LLM: suspicious (high) · 4 Aug 2026