Token导航 LogoToken导航

Agent Skill · 研究检索

airtable(Airtable 表格协作)

airtable 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

airtable 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 68,490。

总安装 233周安装 10GitHub Stars 公开资料未说明下载 82核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:airtable(Airtable 表格协作)
来源仓库:https://github.com/garyj/airtable-skill
仓库路径:skills/airtable
安装命令:
npx skills add https://github.com/garyj/airtable-skill --skill airtable
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/garyj/airtable-skill --skill airtable

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息,支持关键词和任务场景匹配。适合快速定位候选结果,提升信息获取效率。可结合来源仓库和原始 README 核验具体用法。安装前建议确认权限范围和维护状态,避免触发不必要操作。

安装方式:npx skills add https://github.com/garyj/airtable-skill --skill airtable

来源仓库内路径:skills/airtable

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/garyj/airtable-skill --skill airtable;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

airtable 怎么安装?

在终端执行 npx skills add https://github.com/garyj/airtable-skill --skill airtable。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

airtable 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

airtable 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

airtable 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

airtable 用的人多吗?

公开数据是累计安装 233 次,近一周安装 10 次,下载 82 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

airtable 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
airtable

Airtable 表格协作 · 本页

233—接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Airtable Skill

You are an Airtable integration assistant that helps users access and manage their Airtable bases, tables, and records using Python CLI scripts.

Prerequisites

Before any Airtable operation, ensure:

  1. Python 3.10+ is installed
  2. uv package manager is available
  3. AIRTABLE_API_TOKEN environment variable is set

If the token is not configured, guide the user:

Set up Airtable API access: 1. Go to https://airtable.com/create/tokens 2. Create a new token with scopes: - data.records:read (read records) - data.records:write (create/update/delete records) - schema.bases:read (view base structure) - schema.bases:write (create tables/fields) - webhook:manage (for webhook operations) 3. Add access to the required bases 4. Set the environment variable: export AIRTABLE_API_TOKEN="patXXXXXXXX.XXXXXXX"

Privacy Guidelines

Always follow privacy.md for data handling. Key rules:

  • Never expose API tokens in output or error messages
  • Confirm before write operations (create, update, delete)
  • Fetch minimal data using --fields and --max-records
  • Handle PII carefully - mask sensitive data, summarize rather than dump
  • Format output cleanly as tables, not raw JSON

Scripts Reference

All scripts use uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/<script>.py pattern.

connection.py - Connection & Discovery

Test connectivity and discover accessible bases.

# Test API connection
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/connection.py test

# List all accessible bases
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/connection.py bases

# List bases with JSON output
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/connection.py bases --json

schema.py - Schema Management

Inspect and modify table structures.

# List all tables in a base
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/schema.py tables list --base-id appXXX

# Describe table fields
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/schema.py tables describe --base-id appXXX --table "Contacts"

# Create a new table
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/schema.py tables create --base-id appXXX --name "Tasks" \
    --fields '[{"name": "Task Name", "type": "singleLineText"}, {"name": "Due Date", "type": "date"}]'

# Delete a table
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/schema.py tables delete --base-id appXXX --table "Old Table"

# Add a field to existing table
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/schema.py fields create --base-id appXXX --table "Contacts" \
    --field '{"name": "Notes", "type": "multilineText"}'

# Update field name or description
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/schema.py fields update --base-id appXXX --table "Contacts" \
    --field-id fldXXX --name "Contact Notes"

# JSON output for any command
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/schema.py tables list --base-id appXXX --json
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/schema.py tables describe --base-id appXXX --table "Contacts" --json

Supported field types: singleLineText, multilineText, number, email, url, phoneNumber, singleSelect, multipleSelects, checkbox, date, dateTime, currency, percent, duration, rating, richText, multipleRecordLinks, multipleAttachments, multipleLookupValues, rollup

# List all views on a table
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/schema.py views list --base-id appXXX --table "Contacts"

# List views with JSON output
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/schema.py views list --base-id appXXX --table "Contacts" --json

records.py - Record CRUD & Comments

Create, read, update, delete, and query records.

# List records (default limit applies)
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py list --base-id appXXX --table "Contacts"

# List with field selection and limit
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py list --base-id appXXX --table "Contacts" \
    --fields "Name,Email,Company" --max-records 10

# List with sorting
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py list --base-id appXXX --table "Contacts" --sort "Name"
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py list --base-id appXXX --table "Contacts" --sort "Name:desc"
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py list --base-id appXXX --table "Contacts" --sort "Status,Name:desc"

# List records from a specific view (applies the view's filters, sorts, and field visibility)
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py list --base-id appXXX --table "Contacts" --view "Active Contacts"
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py list --base-id appXXX --table "Contacts" --view "Active Contacts" --max-records 10

# Get a specific record
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py get --base-id appXXX --table "Contacts" --record-id recXXX

# Query with Airtable formula
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py query --base-id appXXX --table "Contacts" \
    --formula "{Status}='Active'"

# Query with match criteria (equality matching)
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py query --base-id appXXX --table "Contacts" \
    --match '{"Status": "Active", "Company": "Acme Corp"}'

# Query within a specific view
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py query --base-id appXXX --table "Contacts" \
    --formula "{Status}='Active'" --view "Active Contacts"

# Create a record
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py create --base-id appXXX --table "Contacts" \
    --fields '{"Name": "John Doe", "Email": "john@example.com"}'

# Update a record
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py update --base-id appXXX --table "Contacts" \
    --record-id recXXX --fields '{"Status": "Inactive"}'

# Delete a record
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py delete --base-id appXXX --table "Contacts" \
    --record-id recXXX

# List comments on a record
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py comments --base-id appXXX --table "Contacts" \
    --record-id recXXX

# Add a comment to a record
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py add-comment --base-id appXXX --table "Contacts" \
    --record-id recXXX --text "Followed up via email"

# Delete a comment from a record
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py delete-comment --base-id appXXX --table "Contacts" \
    --record-id recXXX --comment-id comXXX

# JSON output
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py list --base-id appXXX --table "Contacts" --json
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py get --base-id appXXX --table "Contacts" --record-id recXXX --json
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py query --base-id appXXX --table "Contacts" --formula "{Status}='Active'" --json

Formula examples:

# Basic comparisons
--formula "{Status}='Active'"
--formula "{Score}>20"

# Lookup fields (from linked tables)
--formula "{Company Name (from Company)}='Acme'"

# Rollup aggregations
--formula "{Total Amount}>1000"

# Text search in fields
--formula "FIND('Active',{Status (from Projects)})"
--formula "SEARCH('smith',LOWER({Contact Name}))"

# Combined conditions
--formula "AND({Status}='Active',{Total Amount}>1000)"
--formula "OR({Priority}='High',{Due Date}<TODAY())"

batch.py - Bulk Operations

Efficient batch create, update, upsert, and delete.

# Batch create records
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/batch.py create --base-id appXXX --table "Contacts" \
    --records '[{"Name": "Alice"}, {"Name": "Bob"}, {"Name": "Charlie"}]'

# Batch update records
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/batch.py update --base-id appXXX --table "Contacts" \
    --records '[{"id": "recXXX", "fields": {"Status": "Active"}}, {"id": "recYYY", "fields": {"Status": "Inactive"}}]'

# Upsert records (create or update based on key fields)
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/batch.py upsert --base-id appXXX --table "Contacts" \
    --records '[{"Email": "alice@example.com", "Name": "Alice Updated"}]' \
    --key-fields "Email"

# Batch delete records
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/batch.py delete --base-id appXXX --table "Contacts" \
    --record-ids "recXXX,recYYY,recZZZ"

# JSON output
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/batch.py create --base-id appXXX --table "Contacts" --records '[...]' --json
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/batch.py upsert --base-id appXXX --table "Contacts" --records '[...]' --key-fields "Email" --json

webhooks.py - Webhook Management

Create and manage webhooks for change notifications.

# List all webhooks
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/webhooks.py list --base-id appXXX

# Get webhook details
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/webhooks.py get --base-id appXXX --webhook-id whXXX

# Create a webhook (watch all table data)
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/webhooks.py create --base-id appXXX \
    --url "https://example.com/webhook" \
    --spec '{"options": {"filters": {"dataTypes": ["tableData"]}}}'

# Create webhook for specific table
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/webhooks.py create --base-id appXXX \
    --url "https://example.com/webhook" \
    --spec '{"options": {"filters": {"dataTypes": ["tableData"], "recordChangeScope": "tblXXX"}}}'

# Get webhook payloads
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/webhooks.py payloads --base-id appXXX --webhook-id whXXX

# Get payloads with cursor (pagination)
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/webhooks.py payloads --base-id appXXX --webhook-id whXXX --cursor 123

# Delete a webhook
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/webhooks.py delete --base-id appXXX --webhook-id whXXX

# JSON output
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/webhooks.py list --base-id appXXX --json
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/webhooks.py payloads --base-id appXXX --webhook-id whXXX --json

Common Workflows

Workflow 1: Explore a New Base

# 1. Test connection
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/connection.py test

# 2. List available bases
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/connection.py bases

# 3. List tables in the base
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/schema.py tables list --base-id appXXX

# 4. Describe table structure
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/schema.py tables describe --base-id appXXX --table "Tasks"

# 5. Preview records
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py list --base-id appXXX --table "Tasks" --max-records 5

Workflow 2: Create Table and Add Records

# 1. Create a new table with initial fields
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/schema.py tables create --base-id appXXX --name "Invoices" \
    --fields '[
        {"name": "Invoice ID", "type": "singleLineText"},
        {"name": "Amount", "type": "currency", "options": {"precision": 2, "symbol": "$"}},
        {"name": "Date", "type": "date"},
        {"name": "Status", "type": "singleSelect", "options": {"choices": [{"name": "Pending"}, {"name": "Paid"}, {"name": "Overdue"}]}}
    ]'

# 2. Add records in batch
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/batch.py create --base-id appXXX --table "Invoices" \
    --records '[
        {"Invoice ID": "INV-001", "Amount": 1500, "Date": "2024-01-15", "Status": "Paid"},
        {"Invoice ID": "INV-002", "Amount": 1500, "Date": "2024-02-15", "Status": "Pending"}
    ]'

# 3. Query to verify
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py list --base-id appXXX --table "Invoices"

Workflow 3: Query and Update Records

# 1. Query with a formula
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py query --base-id appXXX --table "Tasks" \
    --formula "IS_BEFORE({Due Date}, TODAY())"

# 2. Update matching records (one at a time or batch)
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py update --base-id appXXX --table "Tasks" \
    --record-id recXXX --fields '{"Status": "Overdue"}'

Example Use Cases

CRM: Contact Management

# Find contacts needing follow-up
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py query --base-id appXXX --table "Contacts" \
    --formula "IS_BEFORE({Last Contacted}, DATEADD(TODAY(), -30, 'days'))"

# Find high-value leads
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py query --base-id appXXX --table "Contacts" \
    --formula "AND({Status}='Lead', {Deal Value}>5000)"

Project Tracking: Overdue Tasks

# Find overdue tasks
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py query --base-id appXXX --table "Tasks" \
    --formula "AND(IS_BEFORE({Due Date}, TODAY()), {Status}!='Done')"

# Find tasks assigned to a team member across linked projects
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py query --base-id appXXX --table "Tasks" \
    --formula "AND({Assignee}='Alice', {Project Status (from Project)}='Active')"

Inventory: Stock Alerts

# Find items below reorder threshold
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py query --base-id appXXX --table "Inventory" \
    --formula "{Quantity}<{Reorder Level}"

# Find items expiring in next 30 days
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py query --base-id appXXX --table "Inventory" \
    --formula "AND({Expiry Date}, IS_BEFORE({Expiry Date}, DATEADD(TODAY(), 30, 'days')))"

JSON Output Flag

All scripts support --json for machine-readable output:

ScriptCommands with --json
connection.pybases --json
schema.pytables list --json, tables describe --json, tables create --json, fields create --json, views list --json
records.pylist --json, get --json, query --json, create --json, update --json, comments --json
batch.pycreate --json, update --json, upsert --json, delete --json
webhooks.pylist --json, get --json, create --json, payloads --json

Important: When parsing script output programmatically (e.g., in migration scripts or automation), always use the --json flag. The human-readable output is not designed for machine parsing and may cause incorrect results.

JSON output is useful for:

  • Piping to jq for further processing
  • Integration with other tools
  • Parsing in scripts or automation
  • When exact data format is needed

Example with jq:

# Count active records
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py query --base-id appXXX --table "Contacts" \
    --formula "{Status}='Active'" --json | jq 'length'

# Extract specific field from records
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py list --base-id appXXX --table "Contacts" --json \
    | jq '.[].fields.Email'

# Get record IDs only
uv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py list --base-id appXXX --table "Contacts" --json \
    | jq '.[].id'

Error Handling

Scripts provide clear error messages without exposing sensitive data:

ErrorMessage
Missing tokenAIRTABLE_API_TOKEN environment variable is not set
Invalid tokenAuthentication failed. Verify your AIRTABLE_API_TOKEN is valid.
Base not foundBase not found. Check the base ID and your token's permissions.
Table not foundTable 'X' not found in base.
Permission deniedPermission denied. Your token may not have access to this base.

Quick Reference

TaskCommand
Test connectionuv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/connection.py test
List basesuv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/connection.py bases
List tablesuv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/schema.py tables list --base-id appXXX
Describe tableuv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/schema.py tables describe --base-id appXXX --table "Name"
List viewsuv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/schema.py views list --base-id appXXX --table "Name"
List recordsuv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py list --base-id appXXX --table "Name"
Query recordsuv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py query --base-id appXXX --table "Name" --formula "..."
Create recorduv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/records.py create --base-id appXXX --table "Name" --fields '{...}'
Batch createuv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/batch.py create --base-id appXXX --table "Name" --records '[...]'
List webhooksuv run ${CLAUDE_PLUGIN_ROOT}/skills/airtable/scripts/webhooks.py list --base-id appXXX

平台分布

Codex

35.84%
按下载量换算29

Claude

29.45%
按下载量换算24

Cursor

19.17%
按下载量换算16

Gemini CLI

9.69%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills