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telnyx-missions-python（telnyx missions Python 测试）

Agent Skill

用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。它适合让 Agent 阅读 Python 代码、定位测试问题、整理运行命令、生成脚本或分析数据处理逻辑。使用时需要确认项目虚拟环境、依赖版本和测试入口；涉及执行脚本、读写文件、访问数据库或调用外部 API 时，应先明确运行目录和输入输出范围，避免误改生产数据。

总安装

642

周安装

27

GitHub Stars

169

下载量

225
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

2

许可证

unknown

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：telnyx-missions-python（telnyx missions Python 测试）
来源仓库：https://github.com/team-telnyx/skills
仓库路径：skills/telnyx-missions-python
安装命令：
npx skills add https://github.com/team-telnyx/skills --skill telnyx-missions-python
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-missions-python

简介

用于辅助 Python 项目开发、测试和依赖管理。telnyx-missions-python 属于开发类 Skill，可作为该场景下的辅助能力补充。

  • 适合阅读代码、定位测试问题、整理运行命令或生成脚本。
  • 使用时需确认虚拟环境、依赖版本和测试入口，避免误改生产数据。
  • 安装方式：通过 GitHub 仓库安装，支持主流 AI 开发工具。
  • 涉及文件操作或 API 调用时，应明确目录范围和输入输出限制。

SKILL.md

Telnyx Missions - Python

Installation

pip install telnyx

Setup

import os
from telnyx import Telnyx

client = Telnyx(
    api_key=os.environ.get("TELNYX_API_KEY"),  # This is the default and can be omitted
)

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 telnyx

try:
    result = client.messages.send(to="+13125550001", from_="+13125550002", text="Hello")
except telnyx.APIConnectionError:
    print("Network error — check connectivity and retry")
except telnyx.RateLimitError:
    # 429: rate limited — wait and retry with exponential backoff
    import time
    time.sleep(1)  # Check Retry-After header for actual delay
except telnyx.APIStatusError as e:
    print(f"API error {e.status_code}: {e.message}")
    if e.status_code == 422:
        print("Validation error — check required fields and formats")

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

  • Pagination: List methods return an auto-paginating iterator. Use for item in page_result: to iterate through all pages automatically.

List missions

List all missions for the organization

GET /ai/missions

page = client.ai.missions.list()
page = page.data[0]
print(page.mission_id)

Returns: created_at (date-time), description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), mission_id (uuid), model (string), name (string), updated_at (date-time)

Create mission

Create a new mission definition

POST /ai/missions — Required: name

Optional: description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), model (string)

mission = client.ai.missions.create(
    name="my-resource",
)
print(mission.data)

Returns: created_at (date-time), description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), mission_id (uuid), model (string), name (string), updated_at (date-time)

List recent events

List recent events across all missions

GET /ai/missions/events

page = client.ai.missions.list_events()
page = page.data[0]
print(page.event_id)

Returns: agent_id (string), event_id (string), idempotency_key (string), payload (object), run_id (string), step_id (string), summary (string), timestamp (date-time), type (enum: status_change, step_started, step_completed, step_failed, tool_call, tool_result, message, error, custom)

List recent runs

List recent runs across all missions

GET /ai/missions/runs

page = client.ai.missions.runs.list_runs()
page = page.data[0]
print(page.mission_id)

Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)

Get mission

Get a mission by ID (includes tools, knowledge_bases, mcp_servers)

GET /ai/missions/{mission_id}

mission = client.ai.missions.retrieve(
    "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(mission.data)

Returns: created_at (date-time), description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), mission_id (uuid), model (string), name (string), updated_at (date-time)

Update mission

Update a mission definition

PUT /ai/missions/{mission_id}

Optional: description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), model (string), name (string)

response = client.ai.missions.update_mission(
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)

Returns: created_at (date-time), description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), mission_id (uuid), model (string), name (string), updated_at (date-time)

Delete mission

Delete a mission

DELETE /ai/missions/{mission_id}

client.ai.missions.delete_mission(
    "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)

Clone mission

Clone an existing mission

POST /ai/missions/{mission_id}/clone

response = client.ai.missions.clone_mission(
    "mission_id",
)
print(response)

List knowledge bases

List all knowledge bases for a mission

GET /ai/missions/{mission_id}/knowledge-bases

response = client.ai.missions.knowledge_bases.list_knowledge_bases(
    "mission_id",
)
print(response)

Create knowledge base

Create a new knowledge base for a mission

POST /ai/missions/{mission_id}/knowledge-bases

response = client.ai.missions.knowledge_bases.create_knowledge_base(
    "mission_id",
)
print(response)

Get knowledge base

Get a specific knowledge base by ID

GET /ai/missions/{mission_id}/knowledge-bases/{knowledge_base_id}

response = client.ai.missions.knowledge_bases.get_knowledge_base(
    knowledge_base_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)

Update knowledge base

Update a knowledge base definition

PUT /ai/missions/{mission_id}/knowledge-bases/{knowledge_base_id}

response = client.ai.missions.knowledge_bases.update_knowledge_base(
    knowledge_base_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)

Delete knowledge base

Delete a knowledge base from a mission

DELETE /ai/missions/{mission_id}/knowledge-bases/{knowledge_base_id}

client.ai.missions.knowledge_bases.delete_knowledge_base(
    knowledge_base_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)

List MCP servers

List all MCP servers for a mission

GET /ai/missions/{mission_id}/mcp-servers

response = client.ai.missions.mcp_servers.list_mcp_servers(
    "mission_id",
)
print(response)

Create MCP server

Create a new MCP server for a mission

POST /ai/missions/{mission_id}/mcp-servers

response = client.ai.missions.mcp_servers.create_mcp_server(
    "mission_id",
)
print(response)

Get MCP server

Get a specific MCP server by ID

GET /ai/missions/{mission_id}/mcp-servers/{mcp_server_id}

response = client.ai.missions.mcp_servers.get_mcp_server(
    mcp_server_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)

Update MCP server

Update an MCP server definition

PUT /ai/missions/{mission_id}/mcp-servers/{mcp_server_id}

response = client.ai.missions.mcp_servers.update_mcp_server(
    mcp_server_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)

Delete MCP server

Delete an MCP server from a mission

DELETE /ai/missions/{mission_id}/mcp-servers/{mcp_server_id}

client.ai.missions.mcp_servers.delete_mcp_server(
    mcp_server_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)

List runs for mission

List all runs for a specific mission

GET /ai/missions/{mission_id}/runs

page = client.ai.missions.runs.list(
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
page = page.data[0]
print(page.mission_id)

Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)

Start a run

Start a new run for a mission

POST /ai/missions/{mission_id}/runs

Optional: input (object), metadata (object)

run = client.ai.missions.runs.create(
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(run.data)

Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)

Get run details

Get details of a specific run

GET /ai/missions/{mission_id}/runs/{run_id}

run = client.ai.missions.runs.retrieve(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(run.data)

Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)

Update run

Update run status and/or result

PATCH /ai/missions/{mission_id}/runs/{run_id}

Optional: error (string), metadata (object), result_payload (object), result_summary (string), status (enum: pending, running, paused, succeeded, failed, cancelled)

run = client.ai.missions.runs.update(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(run.data)

Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)

Cancel run

Cancel a running or paused run

POST /ai/missions/{mission_id}/runs/{run_id}/cancel

response = client.ai.missions.runs.cancel_run(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)

Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)

List events

List events for a run (paginated)

GET /ai/missions/{mission_id}/runs/{run_id}/events

page = client.ai.missions.runs.events.list(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
page = page.data[0]
print(page.event_id)

Returns: agent_id (string), event_id (string), idempotency_key (string), payload (object), run_id (string), step_id (string), summary (string), timestamp (date-time), type (enum: status_change, step_started, step_completed, step_failed, tool_call, tool_result, message, error, custom)

Log event

Log an event for a run

POST /ai/missions/{mission_id}/runs/{run_id}/events — Required: type, summary

Optional: agent_id (string), idempotency_key (string), payload (object), step_id (string)

response = client.ai.missions.runs.events.log(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    summary="Brief task summary",
    type="status_change",
)
print(response.data)

Returns: agent_id (string), event_id (string), idempotency_key (string), payload (object), run_id (string), step_id (string), summary (string), timestamp (date-time), type (enum: status_change, step_started, step_completed, step_failed, tool_call, tool_result, message, error, custom)

Get event details

Get details of a specific event

GET /ai/missions/{mission_id}/runs/{run_id}/events/{event_id}

response = client.ai.missions.runs.events.get_event_details(
    event_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)

Returns: agent_id (string), event_id (string), idempotency_key (string), payload (object), run_id (string), step_id (string), summary (string), timestamp (date-time), type (enum: status_change, step_started, step_completed, step_failed, tool_call, tool_result, message, error, custom)

Pause run

Pause a running run

POST /ai/missions/{mission_id}/runs/{run_id}/pause

response = client.ai.missions.runs.pause_run(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)

Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)

Get plan

Get the plan (all steps) for a run

GET /ai/missions/{mission_id}/runs/{run_id}/plan

plan = client.ai.missions.runs.plan.retrieve(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(plan.data)

Returns: completed_at (date-time), description (string), metadata (object), parent_step_id (string), run_id (uuid), sequence (integer), started_at (date-time), status (enum: pending, in_progress, completed, skipped, failed), step_id (string)

Create initial plan

Create the initial plan for a run

POST /ai/missions/{mission_id}/runs/{run_id}/plan — Required: steps

plan = client.ai.missions.runs.plan.create(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    steps=[{
        "description": "description",
        "sequence": 0,
        "step_id": "step_id",
    }],
)
print(plan.data)

Returns: completed_at (date-time), description (string), metadata (object), parent_step_id (string), run_id (uuid), sequence (integer), started_at (date-time), status (enum: pending, in_progress, completed, skipped, failed), step_id (string)

Add step(s) to plan

Add one or more steps to an existing plan

POST /ai/missions/{mission_id}/runs/{run_id}/plan/steps — Required: steps

response = client.ai.missions.runs.plan.add_steps_to_plan(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    steps=[{
        "description": "description",
        "sequence": 0,
        "step_id": "step_id",
    }],
)
print(response.data)

Returns: completed_at (date-time), description (string), metadata (object), parent_step_id (string), run_id (uuid), sequence (integer), started_at (date-time), status (enum: pending, in_progress, completed, skipped, failed), step_id (string)

Get step details

Get details of a specific plan step

GET /ai/missions/{mission_id}/runs/{run_id}/plan/steps/{step_id}

response = client.ai.missions.runs.plan.get_step_details(
    step_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)

Returns: completed_at (date-time), description (string), metadata (object), parent_step_id (string), run_id (uuid), sequence (integer), started_at (date-time), status (enum: pending, in_progress, completed, skipped, failed), step_id (string)

Update step status

Update the status of a plan step

PATCH /ai/missions/{mission_id}/runs/{run_id}/plan/steps/{step_id}

Optional: metadata (object), status (enum: pending, in_progress, completed, skipped, failed)

response = client.ai.missions.runs.plan.update_step(
    step_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)

Returns: completed_at (date-time), description (string), metadata (object), parent_step_id (string), run_id (uuid), sequence (integer), started_at (date-time), status (enum: pending, in_progress, completed, skipped, failed), step_id (string)

Resume run

Resume a paused run

POST /ai/missions/{mission_id}/runs/{run_id}/resume

response = client.ai.missions.runs.resume_run(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)

Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)

List linked Telnyx agents

List all Telnyx agents linked to a run

GET /ai/missions/{mission_id}/runs/{run_id}/telnyx-agents

telnyx_agents = client.ai.missions.runs.telnyx_agents.list(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(telnyx_agents.data)

Returns: created_at (date-time), run_id (string), telnyx_agent_id (string)

Link Telnyx agent to run

Link a Telnyx AI agent (voice/messaging) to a run

POST /ai/missions/{mission_id}/runs/{run_id}/telnyx-agents — Required: telnyx_agent_id

response = client.ai.missions.runs.telnyx_agents.link(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    telnyx_agent_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response.data)

Returns: created_at (date-time), run_id (string), telnyx_agent_id (string)

Unlink Telnyx agent

Unlink a Telnyx agent from a run

DELETE /ai/missions/{mission_id}/runs/{run_id}/telnyx-agents/{telnyx_agent_id}

client.ai.missions.runs.telnyx_agents.unlink(
    telnyx_agent_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)

List tools

List all tools for a mission

GET /ai/missions/{mission_id}/tools

response = client.ai.missions.tools.list_tools(
    "mission_id",
)
print(response)

Create tool

Create a new tool for a mission

POST /ai/missions/{mission_id}/tools

response = client.ai.missions.tools.create_tool(
    "mission_id",
)
print(response)

Get tool

Get a specific tool by ID

GET /ai/missions/{mission_id}/tools/{tool_id}

response = client.ai.missions.tools.get_tool(
    tool_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)

Update tool

Update a tool definition

PUT /ai/missions/{mission_id}/tools/{tool_id}

response = client.ai.missions.tools.update_tool(
    tool_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)

Delete tool

Delete a tool from a mission

DELETE /ai/missions/{mission_id}/tools/{tool_id}

client.ai.missions.tools.delete_tool(
    tool_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)

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

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

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

Codex

35.37%
按下载量换算80

Claude

29.23%
按下载量换算66

Cursor

21.89%
按下载量换算49

Gemini CLI

9.85%
按下载量换算22

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

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。当前只有一个来源，正式发布前建议补源仓库或其他目录站核验。

来源信息

GitHub 仓库

github.com

/team-telnyx/skills

SKILL.md 来源

github.com

/team-telnyx/skills/tree/main/skills/telnyx-missions-python

skills-sh

skills.sh

/team-telnyx/skills/telnyx-missions-python

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