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CF alibabacloud-dataphin-skills

Dataphin skills 套件入口。通过场景关键词路由到具体子 Skill，覆盖数据规划、数据集成、数据开发、运维监控、数据安全、数据资产、数据服务 API 开发、知识图谱等完整业务流程。 触发场景：数据源（创建数据源 / MaxCompute 数据源 / 数据源连通性校验）、计算源（创建计算源 / 更新计算源 / 计算源连通性）、项目与成员（创建项目 / 项目成员 / 租户成员 / 全局角色）、权限与安全（行级权限 / 列级权限 / 字段权限 / 数据源授权 / 数据分级分类 / 数据脱敏）、数据开发（即席查询 / 执行 SQL / 临时跑代码 / 提交批任务 / 更新批任务 / 按名称查任务 / 业务日期 / 租户根节点）、数据集成（数据同步 / 数据搬运 / 集成管道任务 / 更新管道）、运维监控（任务实例监控 / 查看日志 / 重跑实例 / 暂停实例 / 补数据）、数据服务（创建 API / 发布 API / 应用管理 / API 授权 / 权限绑定 / API 调用 / SDK 调用 / API 监控 / 调用日志 / 运维分析）、数据资产（数据标准 / 质量规则 / 主题域 / 业务实体 / 业务指标 / 查找表 / 标准映射 / 资产属性 / 资产查询）、知识图谱（本体模型 / 实体关系 / Schema / Cypher 图查询 / 邻居遍历 / 语义搜索）、非结构化数据（非结构化工作流 / 数据集 / 表结构）。

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.1 MIT-0 80 files body ≈ 6 724 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

Dataphin skills 套件入口。通过场景关键词路由到具体子 Skill，覆盖数据规划、数据集成、数据开发、运维监控、数据安全、数据资产、数据服务 API 开发、知识图谱等完整业务流程。 触发场景：数据源（创建数据源 / MaxCompute 数据源 / 数据源连通性校验）、计算源（创建计算源 /…

As a process F 33/100 · Will not run — References files that are not bundled: references/knowledge-graph/graph-engine-capabilities.md, references/version-aware-openapi.md, references/ram-policies.md

IntegrationInfrastructureAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
C
73/100
safety, quality, tests
Safety 60%
85
Quality 40%
54
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: references/knowledge-graph/graph-engine-capabilities.md, references/version-aware-openapi.md, references/ram-policies.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 3

✓ No critical or high findings

Medium and low: 3
  • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:31
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:48
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:63
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/

Files scanned: 5. 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 ≈ 6724 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/knowledge-graph/graph-engine-capabilities.md
  • warning missing-ref reference to a missing file: references/version-aware-openapi.md
  • warning missing-ref reference to a missing file: references/ram-policies.md
  • warning missing-ref reference to a missing file: references/dataplan/update-compute-source/SKILL.md
  • warning missing-ref reference to a missing file: references/dev/execute-ad-hoc-task/SKILL.md
  • warning missing-ref reference to a missing file: references/dev/submit-batch-task/SKILL.md
  • warning missing-ref reference to a missing file: references/dev/update-batch-task/SKILL.md
  • warning missing-ref reference to a missing file: references/dev/find-tenant-root-node/SKILL.md
  • warning missing-ref reference to a missing file: references/dev/get-batch-task-info-by-name/SKILL.md
  • warning missing-ref reference to a missing file: references/dev/get-bizdate/SKILL.md
  • warning missing-ref reference to a missing file: references/ops/create-node-supplement/SKILL.md
  • warning missing-ref reference to a missing file: references/ops/rerun-task-instance/SKILL.md
  • warning missing-ref reference to a missing file: references/ops/monitor-task-instance/SKILL.md
  • warning missing-ref reference to a missing file: references/ops/pause-task-instance/SKILL.md
  • warning missing-ref reference to a missing file: references/pipeline/create-pipeline-task/SKILL.md
  • warning missing-ref reference to a missing file: references/pipeline/update-pipeline-task/SKILL.md
  • warning missing-ref reference to a missing file: references/manage/manage-tenant-member/SKILL.md
  • warning missing-ref reference to a missing file: references/manage/manage-row-level-permission/SKILL.md
  • warning missing-ref reference to a missing file: references/manage/manage-column-permission/SKILL.md
  • warning missing-ref reference to a missing file: references/datasecurity/grant-data-source-permission/SKILL.md
  • warning missing-ref reference to a missing file: references/datasecurity/manage-data-classification/SKILL.md
  • warning missing-ref reference to a missing file: references/datasecurity/manage-data-masking/SKILL.md
  • warning missing-ref reference to a missing file: references/dataservice/create-and-publish-api/SKILL.md
  • warning missing-ref reference to a missing file: references/dataservice/manage-app-and-bindauth/SKILL.md
  • warning missing-ref reference to a missing file: references/dataservice/call-data-service-api/SKILL.md
  • warning missing-ref reference to a missing file: references/dataservice/monitor-api-operations/SKILL.md
  • warning missing-ref reference to a missing file: references/knowledge-graph/manage-kg-schema/SKILL.md
  • warning missing-ref reference to a missing file: references/knowledge-graph/manage-kg-knowledge/SKILL.md
  • warning missing-ref reference to a missing file: references/knowledge-graph/query-kg/SKILL.md
  • warning missing-ref reference to a missing file: references/unstructured-data/create-unstructured-workflow/SKILL.md
  • warning missing-ref reference to a missing file: references/unstructured-data/update-unstructured-workflow/SKILL.md
  • warning missing-ref reference to a missing file: references/unstructured-data/create-dataset/SKILL.md
  • warning missing-ref reference to a missing file: references/unstructured-data/update-dataset-schema/SKILL.md
  • warning missing-ref reference to a missing file: references/related-commands.md
  • warning missing-ref reference to a missing file: references/<模块>/<子skill>/
  • warning missing-ref reference to a missing file: assets/create-standard
  • warning missing-ref reference to a missing file: assets/update-standard
  • warning missing-ref reference to a missing file: assets/manage-data-standard
  • warning missing-ref reference to a missing file: assets/manage-topic-domain
  • warning missing-ref reference to a missing file: assets/manage-biz-entity
  • warning missing-ref reference to a missing file: assets/manage-biz-metric
  • warning missing-ref reference to a missing file: assets/manage-asset-attributes
  • warning missing-ref reference to a missing file: assets/query-asset-details
  • warning missing-ref reference to a missing file: assets/manage-lookup-table
  • warning missing-ref reference to a missing file: assets/manage-standard-mapping
  • warning missing-ref reference to a missing file: assets/configure-quality-rule

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: references/knowledge-graph/graph-engine-capabilities.md, references/version-aware-openapi.md, references/ram-policies.md
  • 0Tools and files. 46 referenced file(s) missing: references/knowledge-graph/graph-engine-capabilities.md, references/version-aware-openapi.md, references/ram-policies.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 63 mutating operations with no state check
  • 70Execution cost. Instruction body is 6724 tokens
  • 100Steps. 117 steps
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • low 12 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (10 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 628: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 117 items
  • +4Has examples (11 code blocks)
  • +4Reference files are cited in the instructions (1 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.

External checks

ClawHub: suspicious
The skill is a coherent Dataphin admin suite, but it handles powerful cloud credentials and TLS/plugin settings in ways users should review carefully before installing.
LLM: suspicious (high) · 7 Aug 2026