SKILLEMALL.ai

BF alibabacloud-migration-cas-cutover-review

自动审查应用迁云、大数据搬栈等场景的割接手册(.xlsx), 围绕 5 大核心维度 Review:停机公告、切流方式(阻流层)、 源端数据库只读与会话管理、阿里云应用重启策略、回滚决策条件。 默认仅审查「割接执行步骤」与「回滚步骤」两个 Sheet (CheckList / 域名清单 / 数据迁移需 --sheets 打开), 输出「重点确认项 + 需关注项」两段式 Markdown / JSON 报告(含评分与风险等级)。 当用户给出割接手册 / 割接方案 / 割接计划 / cutover plan 的 xlsx, 或说"审查割接手册"、"review 割接方案"、"评估割接风险"、"检查回滚方案"、 "割接 checklist 评审"、"看看这个割接方案有什么问题"时触发。 以下情形同样由本 skill 处理,禁止自行写脚本解析 Excel: 要列出 / 查看手册里有哪些 Sheet、工作表、页签名称用 --list-sheets; 分批割接(含用户显式指定过程 Sheet / 回滚 Sheet 名称)用 --scenario batch 配合 --process-sheet / --rollback-sheet;全量割接 / 一次性切流用 --scenario full; 场景不确定或属纯 DNS 切换 / 域名切换 / 配置变更等其他类型用 --scenario other; 未给路径时先用 find / ls 定位文件再审查。 不适用于:MongoDB / MySQL / Redis 等数据迁移任务配置、 非结构化文档(Word / PDF)、英文关键词主导的手册、业务语义级深度评审。 纯 DNS 方案审查深度有限(仅通告、回滚决策等基本维度)。 本 skill 仅做结构匹配与关键词检测,不理解业务语义,评分仅供参考。 适用于任意支持本地 shell 执行的 Agent 平台(Qoder / Claude Code 等)。

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.1 MIT-0 8 files body ≈ 8 648 tokens Open the sourceclawhub.ai analyzed 3 d ago

自动审查应用迁云、大数据搬栈等场景的割接手册(.xlsx), 围绕 5 大核心维度 Review:停机公告、切流方式(阻流层)、 源端数据库只读与会话管理、阿里云应用重启策略、回滚决策条件。 默认仅审查「割接执行步骤」与「回滚步骤」两个 Sheet (CheckList / 域名清单 / 数据迁移需…

As a process F 44/100 · Will not run — References files that are not bundled: assets/example-cutover-manual.xlsx

AnalyzerExcelMySQLMongoDBAI and agentsInfrastructureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
57
Run on models
none yet
Process rating
F
44/100
Will not run
References files that are not bundled: assets/example-cutover-manual.xlsx
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. The text references files that are not there: add them or drop the references.
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: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 8648 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: assets/example-cutover-manual.xlsx

Process rating: all ten parameters 44/100

Will not run. References files that are not bundled: assets/example-cutover-manual.xlsx
  • 0Tools and files. 1 referenced file(s) missing: assets/example-cutover-manual.xlsx
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Execution cost. Instruction body is 8648 tokens: crowds the task out of the window
  • 60Steps. 67 steps, 8 vague phrases
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Failures and branches. 4 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 16 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (6 tags): a typed call is more reliable

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)
  • +3Description length 830: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -212 emoji in the instructions: noise for the model
  • -31 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 67 items
  • +4Has examples (6 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.

External checks

ClawHub: clean
This skill is a disclosed local Excel cutover-plan reviewer that reads a user-provided .xlsx file and writes local reports, with no evidence of network calls, credential access, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 3 Sept 2026