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sf-metadata科幻元数据

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

25,872

周安装

1,067

GitHub Stars

401

下载量

9,064
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:sf-metadata(科幻元数据)
来源仓库:https://github.com/jaganpro/sf-skills
仓库路径:skills/sf-metadata
安装命令:
npx skills add https://github.com/jaganpro/sf-skills --skill sf-metadata
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/jaganpro/sf-skills --skill sf-metadata

简介

用于辅助数据整理、表格处理、CSV/Excel 分析和指标计算。

  • 适合清洗字段、汇总数据、发现异常或生成统计口径说明。
  • 使用时需确认数据来源、字段含义和时间范围,避免误用样本当全量。
  • 涉及敏感数据或导出文件时,应先确认权限和脱敏边界。sf-metadata 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 安装方式:通过 npx 从指定 GitHub 仓库添加技能。

SKILL.md

sf-metadata: Salesforce Metadata Generation and Org Querying

Use this skill when the user needs metadata definition or org metadata discovery: custom objects, fields, validation rules, record types, page layouts, permission sets, or schema inspection with sf CLI.

When This Skill Owns the Task

Use sf-metadata when the work involves:

  • object, field, validation rule, record type, layout, profile, or permission-set metadata
  • .object-meta.xml, .field-meta.xml, .profile-meta.xml, and related metadata files
  • describing schema before coding or Flow work
  • generating metadata XML from requirements

Delegate elsewhere when the user is:


Required Context to Gather First

Ask for or infer:

  • whether the user wants generation or querying
  • metadata type(s) involved
  • target object / field / package directory
  • target org alias if querying is required
  • whether new custom objects or fields should also include permission-set / FLS generation

Unless the user explicitly opts out, assume new custom objects or fields need permission-set follow-up.


Recommended Workflow

1. Choose the mode

ModeUse when
generationthe user wants new or updated metadata XML
queryingthe user needs object / field / metadata discovery

2. Start from templates or CLI describe data

For generation, use the assets under:

  • assets/objects/
  • assets/fields/
  • assets/permission-sets/
  • assets/profiles/
  • assets/record-types/
  • assets/validation-rules/
  • assets/layouts/

For querying, prefer sf metadata and sobject describe commands.

Recent SDR/CLI support worth knowing when reading older examples: CnfgItemSourceDefinition, ExtlClntAppOauthSecuritySettings, and UIBundle are now source-supported under their current names. See references/metadata-types-reference.md.

3. Validate metadata quality

Check:

  • naming conventions
  • structural correctness
  • field-type fit
  • security / FLS implications
  • downstream deployment dependencies

4. Plan permission impact by default

When new custom fields or objects are created:

  • default to generating or updating a Permission Set unless the user opts out
  • include fieldPermissions for eligible custom fields
  • note any metadata categories that are excluded because Salesforce treats them as system-managed or always-available
  • remember that object CRUD alone does not make custom fields visible

5. Hand off deployment

Use sf-deploy when the user needs the metadata rolled out.


High-Signal Rules

  • field-level security is often the hidden blocker after deployment
  • object permissions ≠ field permissions
  • prefer permission sets over profile-centric access patterns
  • generate Permission Set follow-up by default for new custom objects and fields
  • include fieldPermissions for eligible custom fields instead of leaving FLS as a manual afterthought
  • avoid hardcoded IDs in formulas or metadata logic
  • validation rules should have intentional bypass strategy when operationally necessary
  • create metadata before attempting Flow or data tasks that depend on it

Output Format

When finishing, report in this order:

  1. Metadata created or queried
  2. Files created or updated
  3. Key schema/security decisions
  4. Permission / layout follow-ups
  5. Deploy next step

Suggested shape:

Metadata task: <generate / query>
Items: <objects, fields, rules, layouts, permsets>
Files: <paths>
Notes: <naming, field types, security, dependencies>
Next step: <deploy, assign permset, or verify in Setup>

Cross-Skill Integration

NeedDelegate toReason
deploy metadatasf-deployrollout and validation
build Flows on new schemasf-flowdeclarative automation
build Apex on new schemasf-apexcode against metadata
analyze permission access after creationsf-permissionsaccess auditing
seed data after deploysf-datatest data creation

Reference Map

Start here

Security / scoring / examples


Score Guide

ScoreMeaning
108+strong production-ready metadata
96–107good metadata with minor review items
84–95acceptable but validate carefully
< 84block deployment until corrected

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Cursor

31.56%
按下载量换算2,861

Claude Code

23.91%
按下载量换算2,167

Codex

16.76%
按下载量换算1,519

Antigravity

12.57%
按下载量换算1,139

Gemini CLI

8.01%
按下载量换算726

windsurf

3.52%
按下载量换算319

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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