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Agent Skill · 开发

telnyx-ai-assistants-java(telnyx AI assistants Java 测试)

用于辅助 Java 项目开发、面向对象设计、Spring 生态、Maven 或 Gradle 依赖和后端工程实践。它适合让 Agent 分析类结构、设计接口、整理服务分层、生成测试或检查常见代码坏味道。使用时需要结合项目已有架构、包结构和依赖版本,不应只按通用教程改代码;涉及数据库、事务、并发或框架配置时,应先确认运行环境和回归测试范围。

telnyx-ai-assistants-java 是开发类 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,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 15,487。

总安装 588周安装 24GitHub Stars 169下载 190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:telnyx-ai-assistants-java(telnyx AI assistants Java 测试)
来源仓库:https://github.com/team-telnyx/skills
仓库路径:skills/telnyx-ai-assistants-java
安装命令:
npx skills add https://github.com/team-telnyx/skills --skill telnyx-ai-assistants-java
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/team-telnyx/skills --skill telnyx-ai-assistants-java

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

辅助 Java 项目开发与 Spring 生态集成。适合分析类结构、设计接口、生成测试或检查代码质量。需结合项目架构和依赖版本使用,避免盲目修改。涉及数据库或并发时需先确认环境与回归测试范围。telnyx-ai-assistants-java 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/telnyx-ai-assistants-java

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/team-telnyx/skills --skill telnyx-ai-assistant…;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

telnyx-ai-assistants-java 怎么安装?

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

telnyx-ai-assistants-java 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。

telnyx-ai-assistants-java 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。

telnyx-ai-assistants-java 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。

telnyx-ai-assistants-java 用的人多吗?

公开数据是累计安装 588 次,近一周安装 24 次,下载 190 次,GitHub 169 星。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。

telnyx-ai-assistants-java 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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。
  • 需要处理开发类任务、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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
telnyx-ai-assistants-java

telnyx AI assistants Java 测试 · 本页

588169接触敏感数据未明确通过

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

Telnyx AI Assistants - Java

Installation

<!-- Maven -->
<dependency>
    <groupId>com.telnyx.sdk</groupId>
    <artifactId>telnyx</artifactId>
    <version>6.36.0</version>
</dependency>

// Gradle
implementation("com.telnyx.sdk:telnyx:6.36.0")

Setup

import com.telnyx.sdk.client.TelnyxClient;
import com.telnyx.sdk.client.okhttp.TelnyxOkHttpClient;

TelnyxClient client = TelnyxOkHttpClient.fromEnv();

All examples below assume client is already initialized as shown above.

Error Handling

All API calls can fail with network errors, rate limits (429), validation errors (422), or authentication errors (401). Always handle errors in production code:

import com.telnyx.sdk.models.ai.assistants.AssistantCreateParams;
import com.telnyx.sdk.models.ai.assistants.InferenceEmbedding;
AssistantCreateParams params = AssistantCreateParams.builder()
    .instructions("You are a helpful assistant.")
    .model("openai/gpt-4o")
    .name("my-resource")
    .build();
InferenceEmbedding assistant = client.ai().assistants().create(params);

Common error codes: 401 invalid API key, 403 insufficient permissions, 404 resource not found, 422 validation error (check field formats), 429 rate limited (retry with exponential backoff).

Important Notes

  • Phone numbers must be in E.164 format (e.g., +13125550001). Include the + prefix and country code. No spaces, dashes, or parentheses.
  • Pagination: List methods return a page. Use .autoPager() for automatic iteration: for (var item: page.autoPager()) {...}. For manual control, use .hasNextPage() and .nextPage().

Reference Use Rules

Do not invent Telnyx parameters, enums, response fields, or webhook fields.

Core Tasks

Create an assistant

Assistant creation is the entrypoint for any AI assistant integration. Agents need the exact creation method and the top-level fields returned by the SDK.

client.ai().assistants().create() — POST /ai/assistants

ParameterTypeRequiredDescription
namestringYes
modelstringYesID of the model to use.
instructionsstringYesSystem instructions for the assistant.
toolsarray[object]NoThe tools that the assistant can use.
toolIdsarray[string]No
descriptionstringNo
...+12 optional params in references/api-details.md
import com.telnyx.sdk.models.ai.assistants.AssistantCreateParams;
import com.telnyx.sdk.models.ai.assistants.InferenceEmbedding;

AssistantCreateParams params = AssistantCreateParams.builder()
    .instructions("You are a helpful assistant.")
    .model("openai/gpt-4o")
    .name("my-resource")
    .build();
InferenceEmbedding assistant = client.ai().assistants().create(params);

Primary response fields:

  • assistant.id
  • assistant.name
  • assistant.model
  • assistant.instructions
  • assistant.createdAt
  • assistant.description

Chat with an assistant

Chat is the primary runtime path. Agents need the exact assistant method and the response content field.

client.ai().assistants().chat() — POST /ai/assistants/{assistant_id}/chat

ParameterTypeRequiredDescription
contentstringYesThe message content sent by the client to the assistant
conversationIdstring (UUID)YesA unique identifier for the conversation thread, used to mai...
assistantIdstring (UUID)Yes
namestringNoThe optional display name of the user sending the message
import com.telnyx.sdk.models.ai.assistants.AssistantChatParams;
import com.telnyx.sdk.models.ai.assistants.AssistantChatResponse;

AssistantChatParams params = AssistantChatParams.builder()
    .assistantId("550e8400-e29b-41d4-a716-446655440000")
    .content("Tell me a joke about cats")
    .conversationId("42b20469-1215-4a9a-8964-c36f66b406f4")
    .build();
AssistantChatResponse response = client.ai().assistants().chat(params);

Primary response fields:

  • response.content

Create an assistant test

Test creation is the main validation path for production assistant behavior before deployment.

client.ai().assistants().tests().create() — POST /ai/assistants/tests

ParameterTypeRequiredDescription
namestringYesA descriptive name for the assistant test.
destinationstringYesThe target destination for the test conversation.
instructionsstringYesDetailed instructions that define the test scenario and what...
rubricarray[object]YesEvaluation criteria used to assess the assistant's performan...
descriptionstringNoOptional detailed description of what this test evaluates an...
telnyxConversationChannelobjectNoThe communication channel through which the test will be con...
maxDurationSecondsintegerNoMaximum duration in seconds that the test conversation shoul...
...+1 optional params in references/api-details.md
import com.telnyx.sdk.models.ai.assistants.tests.AssistantTest;
import com.telnyx.sdk.models.ai.assistants.tests.TestCreateParams;

TestCreateParams params = TestCreateParams.builder()
    .destination("+15551234567")
    .instructions("Act as a frustrated customer who received a damaged product. Ask for a refund and escalate if not satisfied with the initial response.")
    .name("Customer Support Bot Test")
    .addRubric(TestCreateParams.Rubric.builder()
        .criteria("Assistant responds within 30 seconds")
        .name("Response Time")
        .build())
    .addRubric(TestCreateParams.Rubric.builder()
        .criteria("Provides correct product information")
        .name("Accuracy")
        .build())
    .build();
AssistantTest assistantTest = client.ai().assistants().tests().create(params);

Primary response fields:

  • assistantTest.testId
  • assistantTest.name
  • assistantTest.destination
  • assistantTest.createdAt
  • assistantTest.instructions
  • assistantTest.description

Important Supporting Operations

Use these when the core tasks above are close to your flow, but you need a common variation or follow-up step.

Get an assistant

Fetch the current state before updating, deleting, or making control-flow decisions.

client.ai().assistants().retrieve() — GET /ai/assistants/{assistant_id}

ParameterTypeRequiredDescription
assistantIdstring (UUID)Yes
callControlIdstring (UUID)No
fetchDynamicVariablesFromWebhookbooleanNo
fromstring (E.164)No
...+1 optional params in references/api-details.md
import com.telnyx.sdk.models.ai.assistants.AssistantRetrieveParams;
import com.telnyx.sdk.models.ai.assistants.InferenceEmbedding;

InferenceEmbedding assistant = client.ai().assistants().retrieve("550e8400-e29b-41d4-a716-446655440000");

Primary response fields:

  • assistant.id
  • assistant.name
  • assistant.createdAt
  • assistant.description
  • assistant.dynamicVariables
  • assistant.dynamicVariablesWebhookUrl

Update an assistant

Create or provision an additional resource when the core tasks do not cover this flow.

client.ai().assistants().update() — POST /ai/assistants/{assistant_id}

ParameterTypeRequiredDescription
assistantIdstring (UUID)Yes
namestringNo
modelstringNoID of the model to use.
instructionsstringNoSystem instructions for the assistant.
...+16 optional params in references/api-details.md
import com.telnyx.sdk.models.ai.assistants.AssistantUpdateParams;
import com.telnyx.sdk.models.ai.assistants.InferenceEmbedding;

InferenceEmbedding assistant = client.ai().assistants().update("550e8400-e29b-41d4-a716-446655440000");

Primary response fields:

  • assistant.id
  • assistant.name
  • assistant.createdAt
  • assistant.description
  • assistant.dynamicVariables
  • assistant.dynamicVariablesWebhookUrl

List assistants

Inspect available resources or choose an existing resource before mutating it.

client.ai().assistants().list() — GET /ai/assistants

import com.telnyx.sdk.models.ai.assistants.AssistantListParams;
import com.telnyx.sdk.models.ai.assistants.AssistantsList;

AssistantsList assistantsList = client.ai().assistants().list();

Response wrapper:

  • items: assistantsList.data

Primary item fields:

  • id
  • name
  • createdAt
  • description
  • dynamicVariables
  • dynamicVariablesWebhookUrl

Import assistants from external provider

Import existing assistants from an external provider instead of creating from scratch.

client.ai().assistants().imports() — POST /ai/assistants/import

ParameterTypeRequiredDescription
providerenum (elevenlabs, vapi, retell)YesThe external provider to import assistants from.
apiKeyRefstringYesIntegration secret pointer that refers to the API key for th...
importIdsarray[string]NoOptional list of assistant IDs to import from the external p...
import com.telnyx.sdk.models.ai.assistants.AssistantImportsParams;
import com.telnyx.sdk.models.ai.assistants.AssistantsList;

AssistantImportsParams params = AssistantImportsParams.builder()
    .apiKeyRef("my-openai-key")
    .provider(AssistantImportsParams.Provider.ELEVENLABS)
    .build();
AssistantsList assistantsList = client.ai().assistants().imports(params);

Response wrapper:

  • items: assistantsList.data

Primary item fields:

  • id
  • name
  • createdAt
  • description
  • dynamicVariables
  • dynamicVariablesWebhookUrl

Get All Tags

Inspect available resources or choose an existing resource before mutating it.

client.ai().assistants().tags().list() — GET /ai/assistants/tags

import com.telnyx.sdk.models.ai.assistants.tags.TagListParams;
import com.telnyx.sdk.models.ai.assistants.tags.TagListResponse;

TagListResponse tags = client.ai().assistants().tags().list();

Primary response fields:

  • tags.tags

List assistant tests with pagination

Inspect available resources or choose an existing resource before mutating it.

client.ai().assistants().tests().list() — GET /ai/assistants/tests

ParameterTypeRequiredDescription
testSuitestringNoFilter tests by test suite name
telnyxConversationChannelstringNoFilter tests by communication channel (e.g., 'web_chat', 'sm...
destinationstringNoFilter tests by destination (phone number, webhook URL, etc....
...+1 optional params in references/api-details.md
import com.telnyx.sdk.models.ai.assistants.tests.TestListPage;
import com.telnyx.sdk.models.ai.assistants.tests.TestListParams;

TestListPage page = client.ai().assistants().tests().list();

Response wrapper:

  • items: page.data
  • pagination: page.meta

Primary item fields:

  • name
  • createdAt
  • description
  • destination
  • instructions
  • maxDurationSeconds

Get all test suite names

Inspect available resources or choose an existing resource before mutating it.

client.ai().assistants().tests().testSuites().list() — GET /ai/assistants/tests/test-suites

import com.telnyx.sdk.models.ai.assistants.tests.testsuites.TestSuiteListParams;
import com.telnyx.sdk.models.ai.assistants.tests.testsuites.TestSuiteListResponse;

TestSuiteListResponse testSuites = client.ai().assistants().tests().testSuites().list();

Response wrapper:

  • items: testSuites.data

Primary item fields:

  • data

Get test suite run history

Fetch the current state before updating, deleting, or making control-flow decisions.

client.ai().assistants().tests().testSuites().runs().list() — GET /ai/assistants/tests/test-suites/{suite_name}/runs

ParameterTypeRequiredDescription
suiteNamestringYes
testSuiteRunIdstring (UUID)NoFilter runs by specific suite execution batch ID
statusstringNoFilter runs by execution status (pending, running, completed...
pageobjectNoConsolidated page parameter (deepObject style).
import com.telnyx.sdk.models.ai.assistants.tests.testsuites.runs.RunListPage;
import com.telnyx.sdk.models.ai.assistants.tests.testsuites.runs.RunListParams;

RunListPage page = client.ai().assistants().tests().testSuites().runs().list("suite_name");

Response wrapper:

  • items: page.data
  • pagination: page.meta

Primary item fields:

  • status
  • createdAt
  • updatedAt
  • completedAt
  • conversationId
  • conversationInsightsId

Additional Operations

Use the core tasks above first. The operations below are indexed here with exact SDK methods and required params; use references/api-details.md for full optional params, response schemas, and lower-frequency webhook payloads. Before using any operation below, read the optional-parameters section and the response-schemas section so you do not guess missing fields.

OperationSDK methodEndpointUse whenRequired params
Trigger test suite executionclient.ai().assistants().tests().testSuites().runs().trigger()POST /ai/assistants/tests/test-suites/{suite_name}/runsTrigger a follow-up action in an existing workflow rather than creating a new top-level resource.suiteName
Get assistant test by IDclient.ai().assistants().tests().retrieve()GET /ai/assistants/tests/{test_id}Fetch the current state before updating, deleting, or making control-flow decisions.testId
Update an assistant testclient.ai().assistants().tests().update()PUT /ai/assistants/tests/{test_id}Modify an existing resource without recreating it.testId
Delete an assistant testclient.ai().assistants().tests().delete()DELETE /ai/assistants/tests/{test_id}Remove, detach, or clean up an existing resource.testId
Get test run history for a specific testclient.ai().assistants().tests().runs().list()GET /ai/assistants/tests/{test_id}/runsFetch the current state before updating, deleting, or making control-flow decisions.testId
Trigger a manual test runclient.ai().assistants().tests().runs().trigger()POST /ai/assistants/tests/{test_id}/runsTrigger a follow-up action in an existing workflow rather than creating a new top-level resource.testId
Get specific test run detailsclient.ai().assistants().tests().runs().retrieve()GET /ai/assistants/tests/{test_id}/runs/{run_id}Fetch the current state before updating, deleting, or making control-flow decisions.testId, runId
Delete an assistantclient.ai().assistants().delete()DELETE /ai/assistants/{assistant_id}Remove, detach, or clean up an existing resource.assistantId
Get Canary Deployclient.ai().assistants().canaryDeploys().retrieve()GET /ai/assistants/{assistant_id}/canary-deploysFetch the current state before updating, deleting, or making control-flow decisions.assistantId
Create Canary Deployclient.ai().assistants().canaryDeploys().create()POST /ai/assistants/{assistant_id}/canary-deploysCreate or provision an additional resource when the core tasks do not cover this flow.versions, assistantId
Update Canary Deployclient.ai().assistants().canaryDeploys().update()PUT /ai/assistants/{assistant_id}/canary-deploysModify an existing resource without recreating it.versions, assistantId
Delete Canary Deployclient.ai().assistants().canaryDeploys().delete()DELETE /ai/assistants/{assistant_id}/canary-deploysRemove, detach, or clean up an existing resource.assistantId
Assistant Sms Chatclient.ai().assistants().sendSms()POST /ai/assistants/{assistant_id}/chat/smsRun assistant chat over SMS instead of direct API chat.from, to, assistantId
Clone Assistantclient.ai().assistants().clone()POST /ai/assistants/{assistant_id}/cloneTrigger a follow-up action in an existing workflow rather than creating a new top-level resource.assistantId
List scheduled eventsclient.ai().assistants().scheduledEvents().list()GET /ai/assistants/{assistant_id}/scheduled_eventsFetch the current state before updating, deleting, or making control-flow decisions.assistantId
Create a scheduled eventclient.ai().assistants().scheduledEvents().create()POST /ai/assistants/{assistant_id}/scheduled_eventsCreate or provision an additional resource when the core tasks do not cover this flow.telnyxConversationChannel, telnyxEndUserTarget, telnyxAgentTarget, scheduledAtFixedDatetime, +1 more
Get a scheduled eventclient.ai().assistants().scheduledEvents().retrieve()GET /ai/assistants/{assistant_id}/scheduled_events/{event_id}Fetch the current state before updating, deleting, or making control-flow decisions.assistantId, eventId
Delete a scheduled eventclient.ai().assistants().scheduledEvents().delete()DELETE /ai/assistants/{assistant_id}/scheduled_events/{event_id}Remove, detach, or clean up an existing resource.assistantId, eventId
Add Assistant Tagclient.ai().assistants().tags().add()POST /ai/assistants/{assistant_id}/tagsCreate or provision an additional resource when the core tasks do not cover this flow.tag, assistantId
Remove Assistant Tagclient.ai().assistants().tags().remove()DELETE /ai/assistants/{assistant_id}/tags/{tag}Remove, detach, or clean up an existing resource.assistantId, tag
Get assistant texmlclient.ai().assistants().getTexml()GET /ai/assistants/{assistant_id}/texmlFetch the current state before updating, deleting, or making control-flow decisions.assistantId
Add Assistant Toolclient.ai().assistants().tools().add()PUT /ai/assistants/{assistant_id}/tools/{tool_id}Modify an existing resource without recreating it.assistantId, toolId
Remove Assistant Toolclient.ai().assistants().tools().remove()DELETE /ai/assistants/{assistant_id}/tools/{tool_id}Remove, detach, or clean up an existing resource.assistantId, toolId
Test Assistant Toolclient.ai().assistants().tools().test()POST /ai/assistants/{assistant_id}/tools/{tool_id}/testTrigger a follow-up action in an existing workflow rather than creating a new top-level resource.assistantId, toolId
Get all versions of an assistantclient.ai().assistants().versions().list()GET /ai/assistants/{assistant_id}/versionsFetch the current state before updating, deleting, or making control-flow decisions.assistantId
Get a specific assistant versionclient.ai().assistants().versions().retrieve()GET /ai/assistants/{assistant_id}/versions/{version_id}Fetch the current state before updating, deleting, or making control-flow decisions.assistantId, versionId
Update a specific assistant versionclient.ai().assistants().versions().update()POST /ai/assistants/{assistant_id}/versions/{version_id}Create or provision an additional resource when the core tasks do not cover this flow.assistantId, versionId
Delete a specific assistant versionclient.ai().assistants().versions().delete()DELETE /ai/assistants/{assistant_id}/versions/{version_id}Remove, detach, or clean up an existing resource.assistantId, versionId
Promote an assistant version to mainclient.ai().assistants().versions().promote()POST /ai/assistants/{assistant_id}/versions/{version_id}/promoteTrigger a follow-up action in an existing workflow rather than creating a new top-level resource.assistantId, versionId
List MCP Serversclient.ai().mcpServers().list()GET /ai/mcp_serversInspect available resources or choose an existing resource before mutating it.None
Create MCP Serverclient.ai().mcpServers().create()POST /ai/mcp_serversCreate or provision an additional resource when the core tasks do not cover this flow.name, type, url
Get MCP Serverclient.ai().mcpServers().retrieve()GET /ai/mcp_servers/{mcp_server_id}Fetch the current state before updating, deleting, or making control-flow decisions.mcpServerId
Update MCP Serverclient.ai().mcpServers().update()PUT /ai/mcp_servers/{mcp_server_id}Modify an existing resource without recreating it.mcpServerId
Delete MCP Serverclient.ai().mcpServers().delete()DELETE /ai/mcp_servers/{mcp_server_id}Remove, detach, or clean up an existing resource.mcpServerId
List Toolsclient.ai().tools().list()GET /ai/toolsInspect available resources or choose an existing resource before mutating it.None
Create Toolclient.ai().tools().create()POST /ai/toolsCreate or provision an additional resource when the core tasks do not cover this flow.type, displayName
Get Toolclient.ai().tools().retrieve()GET /ai/tools/{tool_id}Fetch the current state before updating, deleting, or making control-flow decisions.toolId
Update Toolclient.ai().tools().update()PATCH /ai/tools/{tool_id}Modify an existing resource without recreating it.toolId
Delete Toolclient.ai().tools().delete()DELETE /ai/tools/{tool_id}Remove, detach, or clean up an existing resource.toolId

For exhaustive optional parameters, full response schemas, and complete webhook payloads, see references/api-details.md.

平台分布

Codex

38.08%
按下载量换算72

Claude

32.05%
按下载量换算61

Cursor

17.25%
按下载量换算33

Gemini CLI

10.06%
按下载量换算19

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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

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