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testany-pipeline
Testany pipeline 编排与 CRUD - 基于 automation design 或现有 case keys 创建执行与编排单元
Registry indexed
Testany pipeline 编排与 CRUD - 基于 automation design 或现有 case keys 创建执行与编排单元
Testany pipeline 编排与 CRUD - 基于 automation design 或现有 case keys 创建执行与编排单元
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本 skill 通过 Testany MCP 工具管理 Testany 平台上的 pipeline。 所有操作都是对 Testany 平台的远程 API 调用，不涉及本地文件系统。
关键前提：
用户输入: $ARGUMENTS
使用本 skill 前，先按 automation-model.md 理解边界：
testany-case-writing 负责把它拆成 platform casestestany-trigger 负责为 pipeline 配置 Plan / Manual Trigger / Gatekeeper重要结论：
按以下优先级选择输入模式：
Primary：automation design / decomposition
testany-case-writingTestany Automation Handoff 生成Secondary：用户明确给出的 case keys + 依赖描述
Fallback：从现有 case metadata 反推
| 用户意图 | 操作类型 | 工具 |
|---|---|---|
| 创建新 pipeline | Create | testany_create_pipeline |
| 查看 pipeline 详情 | Read | testany_get_pipeline |
| 查看 pipeline YAML | Read | testany_get_pipeline_yaml |
| 搜索/列出 pipelines（按 workspace） | Read | testany_list_pipelines |
| 列出我的 pipelines（按 workspace） | Read | testany_list_my_pipelines |
| 修改 pipeline 配置 | Update | testany_update_pipeline |
| 删除 pipeline | Delete | testany_get_pipeline_used_by → testany_delete_pipeline |
| 验证 YAML 语法 | Validate | testany_verify_pipeline |
| 检查被引用情况 | Query | testany_get_pipeline_used_by |
如果上游已给出以下内容，直接按它编排：
source_case_ids / scenario_group（若来自 Test Spec handoff）whenFailed / expect: fail如果用户直接给出：
则直接进入 YAML 构建。
仅在没有上游 design 时使用：
testany_list_cases / testany_get_casecase_labels、description、environment_variables[].description并行获取：
testany_get_my_workspacestestany_list_cases 或 testany_list_my_cases如果用户还没有把 platform cases 注册到 Testany 平台：
testany-case根据输入模式，确定：
expect: failcase_keys仅当满足以下条件时，允许直接用 case_keys 自动生成简单顺序 pipeline：
expect: fail出现以下任一情况时，必须显式生成 YAML：
whenPassed / whenFailedexpect: fail如有 relay，必须：
testany_get_case 检查源 case 是否有 type='output' 变量testany_get_case 检查目标 case 是否有 type='env' 变量whenFailed 组合type='secrets' 行作为 relay 源或目标：secrets 的值来自 workspace Credential Safe，不经过 relay 传递；目标端也不能被 relay 覆写。如果 relay 源/目标命中 secrets 行，停下来向用户说明并请求改用 env 或 output 行调用 testany_create_pipeline：
| 参数 | 必填 | 说明 |
|---|---|---|
name | 是 | pipeline 名称 |
workspace | 是 | 所属工作空间 key |
description | 否 | 描述 |
definition | 否 | Pipeline YAML 配置 |
case_keys | 否 | Case keys 数组（仅简单顺序场景） |
调用 testany_verify_pipeline：
kind 是否在支持范围内（rule/v1.2 或 rule/v1.3）rules 结构是否合法当且仅当前两种输入模式都不存在时，才允许从现有 cases 反推。
| 字段 | 用途 | 可靠程度 |
|---|---|---|
case_labels | 按 User Story 编号、功能模块筛选 | 高 |
description | 理解动作、前置条件、验证目标 | 中 |
environment_variables[].description | 理解输入/输出变量语义 | 中 |
name | 辅助判断 | 低 |
如果仍然无法确定：
必须向用户确认，而不是猜测。
| 场景 | 工具 | 说明 |
|---|---|---|
| 获取 pipeline 详情 | testany_get_pipeline | 传入 pipeline key |
| 获取 YAML 内容 | testany_get_pipeline_yaml | 传入 pipeline key |
| 搜索/列出 pipelines（按 workspace） | testany_list_pipelines | workspace 必填 |
| 仅列出我的 pipelines（按 workspace） | testany_list_my_pipelines | workspace 必填 |
| 参数 | 说明 |
|---|---|
name | pipeline 名称 |
description | 描述 |
definition | YAML 定义 |
case_keys | 简单顺序执行的 case keys |
environments | 环境标签列表 |
owned_by | 所有者邮箱 |
pipeline_labels | Pipeline 标签列表 |
testany_get_pipeline 读取当前配置testany_get_pipeline_yaml 读取当前 YAML（如需修改编排）testany_update_pipeline 提交更新删除前必须检查引用情况：
testany_get_pipeline_used_byPlan / Manual Trigger / Gatekeeper 引用，先提示用户解除引用警告：此操作不可撤销。
| 场景 | 处理方式 |
|---|---|
| 用户只有场景，没有已注册 case | 先去 testany-case-writing + testany-case |
| 用户只有一个 case，想直接执行 | 仍需创建一条单 case pipeline |
| 有 relay 但没给清楚源/目标 | 回到上游确认 decomposition |
| 只有现有 case 库，没有 design | 可 fallback 反推，但必须让用户确认 |
| 用户想配置什么时候运行 | 切到 testany-trigger |
| 用户想立即执行 pipeline | 切到 testany-trigger |
| 用户想看 execution 进度或历史 | 切到 testany-execution |
任务完成后，向用户汇报：
automation design / explicit case keys / fallback inferencetestany-triggertestany-executionname: testany-pipeline description: Testany pipeline 编排与 CRUD - 基于 automation design 或现有 case keys 创建执行与编排单元 argument-hint: "[操作] [描述]，如：根据 decomposition 创建 pipeline、查看 Y2K-0001A、更新 relay 配置"
--- name: testany-pipeline description: Testany pipeline 编排与 CRUD - 基于 automation design 或现有 case keys 创建执行与编排单元 argument-hint: "[操作] [描述]，如：根据 decomposition 创建 pipeline、查看 Y2K-0001A、更新 relay 配置" --- # Testany Pipeline 本 skill 通过 Testany MCP 工具管理 **Testany 平台上的 pipeline**。 所有操作都是对 Testany 平台的远程 API 调用，不涉及本地文件系统。 **关键前提**： - pipeline 是 Testany 的**执行与编排单元** - Testany **不支持直接执行单条 case** - trigger 只是 pipeline 的执行入口，不是编排层 用户输入: $ARGUMENTS --- ## 宿主能力适配 - 优先使用宿主提供的结构化提问工具（如 AskUserQuestion）一次性收集缺失信息。 - 如果宿主不支持该工具，则用一条普通消息集中提问相同问题；低风险字段可给出默认值建议。 - 如果宿主支持 slash command，可推荐相关 workflow 的命令入口；否则直接在当前线程继续对应 workflow。 --- ## 先统一心智模型 使用本 skill 前，先按 [automation-model.md](../testany-guide/references/automation-model.md) 理解边界： - 上游给出的通常是 **traditional test scenario** - `testany-case-writing` 负责把它拆成 **platform cases** - 本 skill 负责把这些 platform cases 编排成 **pipeline** - `testany-trigger` 负责为 pipeline 配置 `Plan / Manual Trigger / Gatekeeper` **重要结论**： - 本 skill 的主输入不应该是“让我从 case 描述里猜业务流程” - 本 skill 的主输入应该是上游明确给出的 **automation design / decomposition** --- ## 上游输入优先级 按以下优先级选择输入模式： 1. **Primary：automation design / decomposition** - 来自 `testany-case-writing` - 最好是基于 approved Test Spec 的 `Testany Automation Handoff` 生成 - 已明确 case inventory、依赖关系、relay map、是否有分支 2. **Secondary：用户明确给出的 case keys + 依赖描述** - 例如“用 A1B2C3D4 先登录，再用 E5F6A7B8 查询” 3. **Fallback：从现有 case metadata 反推** - 只在前两者都没有时使用 - 必须把结果回显给用户确认 - 不能把“猜出来的流程”当主路径 --- ## 操作速查 | 用户意图 | 操作类型 | 工具 | |---------|---------|------| | 创建新 pipeline | Create | `testany_create_pipeline` | | 查看 pipeline 详情 | Read | `testany_get_pipeline` | | 查看 pipeline YAML | Read | `testany_get_pipeline_yaml` | | 搜索/列出 pipelines（按 workspace） | Read | `testany_list_pipelines` | | 列出我的 pipelines（按 workspace） | Read | `testany_list_my_pipelines` | | 修改 pipeline 配置 | Update | `testany_update_pipeline` | | 删除 pipeline | Delete | `testany_get_pipeline_used_by` → `testany_delete_pipeline` | | 验证 YAML 语法 | Validate | `testany_verify_pipeline` | | 检查被引用情况 | Query | `testany_get_pipeline_used_by` | --- ## Create（创建） ### Phase 0: 先判断输入模式 #### Primary：已有 automation design / decomposition 如果上游已给出以下内容，直接按它编排： - platform case inventory - 每个 case 的职责 - `source_case_ids` / `scenario_group`（若来自 Test Spec handoff） - dependencies - relay map - 是否有 `whenFailed` / `expect: fail` #### Secondary：用户已明确给出 case keys 与顺序 如果用户直接给出： - case keys - 执行顺序 - relay 关系 则直接进入 YAML 构建。 #### Fallback：只能从现有 cases 反推 仅在没有上游 design 时使用： - `testany_list_cases` / `testany_get_case` - 结合 `case_labels`、`description`、`environment_variables[].description` - 给出候选编排方案 - **必须让用户确认** --- ### Phase 1: 准备数据 并行获取： - `testany_get_my_workspaces` - `testany_list_cases` 或 `testany_list_my_cases` 如果用户还没有把 platform cases 注册到 Testany 平台： - 停止创建 pipeline - 提示先走 `testany-case` --- ### Phase 2: 构建 pipeline 设计 根据输入模式，确定： - pipeline 名称 - 所属 workspace - 包含哪些 case keys - 顺序与前置依赖 - relay 变量关系 - 是否有失败分支 - 是否存在 `expect: fail` #### 何时使用 `case_keys` 仅当满足以下条件时，允许直接用 `case_keys` 自动生成简单顺序 pipeline： - 无条件分支 - 无 relay - 无 `expect: fail` - 用户只要最简单的顺序执行 #### 何时必须手写 YAML 出现以下任一情况时，必须显式生成 YAML： - 有 relay - 有 `whenPassed` / `whenFailed` - 有 `expect: fail` - 需要表达分支、前置、清理或失败路径 --- ### Phase 3: 验证 relay 与依赖 如有 relay，必须： 1. `testany_get_case` 检查源 case 是否有 `type='output'` 变量 2. `testany_get_case` 检查目标 case 是否有 `type='env'` 变量 3. 确保源 case 在 rules 中位于目标 case 之前 4. 确保 relay 不与 `whenFailed` 组合 5. **禁止把 `type='secrets'` 行作为 relay 源或目标**：secrets 的值来自 workspace Credential Safe，不经过 relay 传递；目标端也不能被 relay 覆写。如果 relay 源/目标命中 secrets 行，停下来向用户说明并请求改用 `env` 或 `output` 行 --- ### Phase 4: 创建 pipeline 调用 `testany_create_pipeline`： | 参数 | 必填 | 说明 | |------|-----|------| | `name` | 是 | pipeline 名称 | | `workspace` | 是 | 所属工作空间 key | | `description` | 否 | 描述 | | `definition` | 否 | Pipeline YAML 配置 | | `case_keys` | 否 | Case keys 数组（仅简单顺序场景） | --- ### Phase 5: 验证 调用 `testany_verify_pipeline`： - 检查 `kind` 是否在支持范围内（`rule/v1.2` 或 `rule/v1.3`） - 检查 `rules` 结构是否合法 - 检查 relay 与依赖约束 --- ## Fallback：从现有 cases 反推（仅兜底） 当且仅当前两种输入模式都不存在时，才允许从现有 cases 反推。 ### 可用于判断的信息 | 字段 | 用途 | 可靠程度 | |------|------|---------| | `case_labels` | 按 User Story 编号、功能模块筛选 | 高 | | `description` | 理解动作、前置条件、验证目标 | 中 | | `environment_variables[].description` | 理解输入/输出变量语义 | 中 | | `name` | 辅助判断 | 低 | ### 禁止猜测 如果仍然无法确定： - 哪些 cases 应被包含 - 顺序如何安排 - relay 如何配置 必须向用户确认，而不是猜测。 --- ## Read（查询） | 场景 | 工具 | 说明 | |------|------|------| | 获取 pipeline 详情 | `testany_get_pipeline` | 传入 pipeline key | | 获取 YAML 内容 | `testany_get_pipeline_yaml` | 传入 pipeline key | | 搜索/列出 pipelines（按 workspace） | `testany_list_pipelines` | `workspace` 必填 | | 仅列出我的 pipelines（按 workspace） | `testany_list_my_pipelines` | `workspace` 必填 | --- ## Update（更新） ### 可更新的字段 | 参数 | 说明 | |------|------| | `name` | pipeline 名称 | | `description` | 描述 | | `definition` | YAML 定义 | | `case_keys` | 简单顺序执行的 case keys | | `environments` | 环境标签列表 | | `owned_by` | 所有者邮箱 | | `pipeline_labels` | Pipeline 标签列表 | ### 更新流程 1. `testany_get_pipeline` 读取当前配置 2. `testany_get_pipeline_yaml` 读取当前 YAML（如需修改编排） 3. 优先按已有 automation design 更新，而不是现场重猜 4. 如修改 YAML，重新验证 relay 与依赖 5. `testany_update_pipeline` 提交更新 --- ## Delete（删除） 删除前必须检查引用情况： 1. `testany_get_pipeline_used_by` 2. 如被 `Plan / Manual Trigger / Gatekeeper` 引用，先提示用户解除引用 3. 无引用后再删除 **警告**：此操作不可撤销。 --- ## 常见问题处理 | 场景 | 处理方式 | |------|---------| | 用户只有场景，没有已注册 case | 先去 `testany-case-writing` + `testany-case` | | 用户只有一个 case，想直接执行 | 仍需创建一条单 case pipeline | | 有 relay 但没给清楚源/目标 | 回到上游确认 decomposition | | 只有现有 case 库，没有 design | 可 fallback 反推，但必须让用户确认 | | 用户想配置什么时候运行 | 切到 `testany-trigger` | | 用户想立即执行 pipeline | 切到 `testany-trigger` | | 用户想看 execution 进度或历史 | 切到 `testany-execution` | --- ## 返回格式 任务完成后，向用户汇报： - Pipeline Key - Pipeline 名称 - 所属工作空间 - 来源输入模式：`automation design / explicit case keys / fallback inference` - 包含的 case 数量与顺序 - relay 配置摘要 - 是否建议继续到 `testany-trigger` - 如已发起执行，是否建议继续到 `testany-execution` --- ## 参考文档 - [Testany 自动化对象模型](../testany-guide/references/automation-model.md) - [Pipeline YAML 语法](./references/pipeline-yaml.md) - [Pipeline 相关概念](./references/concepts.md)
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
66/100
Promising
Trust
55/100
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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"repository": "https://github.com/TestAny-io/testany-agent-skills/tree/main/plugins/testany-bot/skills/testany-pipeline",
"install": "npx skills add TestAny-io/testany-agent-skills --skill testany-pipeline",
"installSafety": "standard package or runtime install path",
"permissionSurface": "secrets or environment access, shell or command execution",
"documentation": "Thin public metadata",
"agentOutcomes": "No agent outcome data yet"
},
"outcome_evidence": {
"total": 0,
"successes": 0,
"failures": 0,
"not_relevant": 0,
"success_rate": null,
"recent_success_rate": null,
"recent_failure_rate": null,
"install_attempts": 0,
"install_success_rate": null,
"risk_blocked": 0,
"setup_required": 0,
"avg_output_quality": null,
"production_outcomes": 0,
"last_outcome_at": null,
"label": "No agent outcome data yet"
},
"auto_install": {
"allowed": false,
"sandbox_required": true,
"reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"best_for": [
"design-creative",
"agent-skill"
],
"known_risks": [
"Skill relies on remote MCP tools with CRUD operations including delete; it must depend on the MCP server enforcing authentication, authorization, and audit logging.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"GitHub adoption: 81 GitHub stars",
"Stars/forks activity: 81 stars, 23 forks; issue activity unavailable in current metadata",
"README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context",
"Permission surface: secrets or environment access, shell or command execution"
]
},
"agent_proven": {
"version": "agent-proven-v1",
"score": 0,
"tier": "unproven",
"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
"totalOutcomes": 0,
"successfulOutcomes": 0,
"failedOutcomes": 0,
"installAttempts": 0,
"installSuccessRate": null,
"successRate": null,
"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 74,
"risk_level": "needs_review",
"risk_label": "Needs review",
"warnings": [
"Permission surface may require sandboxing",
"Skill relies on remote MCP tools with CRUD operations including delete; it must depend on the MCP server enforcing authentication, authorization, and audit logging.",
"Review input shows SKILL.md truncated at the Update section, so the complete update/delete workflow was not fully verified; based on available content, no blocking issue found.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"GitHub adoption: 81 GitHub stars",
"Stars/forks activity: 81 stars, 23 forks; issue activity unavailable in current metadata",
"README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 66,
"label": "Promising"
},
"supply": {
"track": "Design and creative production",
"scenario": "Design and creative",
"maintenance": "27d since push",
"risk": "Needs review"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"production agents without a repository review",
"Skill relies on remote MCP tools with CRUD operations including delete; it must depend on the MCP server enforcing authentication, authorization, and audit logging.",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Permission surface may require sandboxing",
"Review input shows SKILL.md truncated at the Update section, so the complete update/delete workflow was not fully verified; based on available content, no blocking issue found.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution"
],
"agent_contract": {
"task_input": "Use testany-pipeline in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 63/100 Manual review",
"Audit: 74/100 Needs review",
"Safety: 30/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "testany-io-testany-pipeline (testany-pipeline)",
"install_command": "npx skills add TestAny-io/testany-agent-skills --skill testany-pipeline",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "testany-io-testany-pipeline",
"task": "Use testany-pipeline in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/testany-io-testany-pipeline",
"api": "https://www.openagentskill.com/api/agent/skills/testany-io-testany-pipeline",
"audit": "https://www.openagentskill.com/skills/testany-io-testany-pipeline/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=testany-io-testany-pipeline&task=Use%20testany-pipeline%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20testany-pipeline%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20testany-pipeline%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/testany-io-testany-pipeline/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/testany-io-testany-pipeline"
}
}Listing source
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Do not auto-install
Audit
74/100
Needs review
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.