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Testany platform case 注册与 CRUD - 将已准备好的 platform case package 注册到平台，并管理 metadata、脚本与生命周期
Registry indexed
Testany platform case 注册与 CRUD - 将已准备好的 platform case package 注册到平台，并管理 metadata、脚本与生命周期
Testany platform case 注册与 CRUD - 将已准备好的 platform case package 注册到平台，并管理 metadata、脚本与生命周期
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本 skill 通过 Testany MCP 工具管理 Testany 平台上的 platform cases。 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：
case 是可复用原子自动化步骤包testany-pipeline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 cases，并产出脚本、ZIP 与 decompositiontestany-pipeline 负责把 platform cases 组装成可执行 pipelinetestany-trigger 负责配置 Plan / Manual Trigger / Gatekeeper重要结论：
testany-case-writing 已产出的 platform case packagestestany-case-writingtestany-pipelinetestany-trigger| 用户意图 | 操作类型 | 工具 |
|---|---|---|
| 注册新的 platform case | Create | testany_create_case → testany_update_case → testany_update_case_script |
| 查看 case 详情 | Read | testany_get_case |
| 查看 case 脚本内容 | Read | testany_get_case_script |
| 搜索/列出 cases | Read | testany_list_cases |
| 列出我的 cases | Read | testany_list_my_cases |
| 更新 metadata / script | Update | testany_update_case / testany_update_case_script |
| 删除 case | Delete | testany_delete_case |
| 批量更新 cases | Bulk Update | testany_bulk_update_cases |
| 批量删除 cases | Bulk Delete | testany_bulk_delete_cases |
| dry run 验证 | Validate | testany_dry_run_case → testany_get_dry_run_result |
| 查看 dry run 日志 | Read | testany_get_dry_run_log（拼接出 logUrl + curlCommand，agent 代为执行） |
按以下优先级选择输入模式：
Primary：已有 platform case package
testany-case-writingSecondary：已有脚本/ZIP，但 metadata 不完整
Fallback：只想先创建草稿 shell case
如果用户只有传统测试场景，没有脚本、ZIP、decomposition：
testany-case-writing并行获取：
testany_filter_case_runtimestestany_get_my_workspacestestany_get_tenant_config（拿 deployment_type，决定 visibility 默认值，见 case-visibility-policy.md）如涉及 labels，先：
testany_list_labelstestany_create_label优先一次性收集以下内容：
| 字段 | 必填 | 说明 |
|---|---|---|
name | 是 | platform case 名称 |
runtime_uuid | 是 | 运行环境 UUID，推荐 cloudprime |
is_private | 是 | Global / Private — 受 deployment_type 约束，见 case-visibility-policy.md |
workspace_keys | 条件必填 | is_private=true 时必填；详见 policy 文档 |
description | 建议 | 说明该 platform case 的原子职责 |
case_labels | 建议 | 用于目录视图和检索 |
case_meta | 条件必填 | 运行所需配置，具体字段见 executors reference |
| ZIP / 脚本包 | 条件必填 | 若目标是注册 runnable case，通常需要 |
收集原则：
调用 testany_create_case：
nameruntime_uuidis_privateworkspace_keys调用 testany_update_case 设置：
descriptioncase_labelsenvironmentsowned_bycase_versioncase_meta这里的 case_meta 后端字段名仍然是 trigger_method，但它表示的是 case 级运行入口配置：
executortrigger_pathtrigger_command它不等于 Plan / Manual Trigger / Gatekeeper 这类 pipeline trigger。
case_meta.environment_variablescase 运行时可见的变量列表，每条有一个 type：
| type | 用途 | 填值方式 |
|---|---|---|
env（默认） | 普通环境变量、relay 输入 | 填 value |
output | 供 pipeline 中其他 case relay 消费 | 填 value（运行时由脚本写入） |
secrets | 引用 workspace 的 Credential Safe 条目 | 填 secret_ref: { workspace_key, credential_safe_key, credential_key }；禁止填 value |
关于 type=secrets：
os.getenv("DB_PASSWORD")），不需要额外的取值代码或 SDKcredential_safe_key / credential_key，用 testany_list_credential_safes → testany_list_credential_keys 两步查询（runtime_uuid 必须与 case 一致；两个工具返回签名 curl，需 agent 代为执行）。详细流程见 executors.md 的"查询 credential_safe_key / credential_key"status（valid / blocked / invalid）和 status_reasons[]
valid 要向用户报告原因。常见 reason：owner_access_not_satisfied（owner 没访问权）、visibility_not_satisfied（case 可见性收窄）、target_not_found_or_unresolvable（safe/key 不存在）、secret_ref_malformed（引用字段不完整）value / status / status_reasons；传了会被后端拒绝testany_update_case / testany_bulk_update_cases / testany_bulk_append_cases 返回错误码 E400002（case_secrets_feature_disabled），向用户说明：当前 workspace 的 secrets 功能可能未开启，请联系 workspace 管理员写入注意（整集合替换语义）：environment_variables 是整数组替换。若只想新增或修改单条 secret，必须先 testany_get_case 读出现有条目，在内存里合并后再写回；否则其他 env / output / secrets 行会被一并清空。
详细字段规则见：
如果用户已经准备好脚本包，调用 testany_update_case_script 上传。
如脚本中包含以下能力，提醒用户同步补齐配置：
case_meta.environment_variables 中声明对应的 type=output 行case_meta.environment_variables 中声明 type=secrets 行 + secret_ref，脚本里直接读同名环境变量即可如用户要求验证，或刚补齐了必填字段：
testany_dry_run_casetestany_get_dry_run_result 轮询直到进入终态testany_get_dry_run_log 拿 curlCommand 后由 agent 代为执行拉取日志创建完成后，必须显式说明：
testany-pipeline| 场景 | 工具 | 说明 |
|---|---|---|
| 获取单个 case 详情 | testany_get_case | 传入 case key |
| 获取 case 脚本内容 | testany_get_case_script | 下载 ZIP 并返回文件内容 |
| 搜索所有 cases | testany_list_cases | 支持 workspace / keyword / page 等过滤 |
| 列出我的 cases | testany_list_my_cases | 适合个人资产盘点 |
| 字段 | 说明 |
|---|---|
name | case 名称 |
description | 原子职责说明 |
is_private | 可见性 |
workspace_keys | 私有 case 的工作空间列表 |
environments | 环境标签 |
case_labels | 分类标签 |
case_version | 版本号 |
owned_by | 所有者 |
case_meta | 运行配置 |
| 脚本 ZIP | 通过 testany_update_case_script 上传 |
testany_get_case 获取当前配置testany_update_case 提交 metadata 更新testany_update_case_scriptis_private / workspace_keys 的更新受 deployment_type 约束：restricted → global 在 type=2 租户下会被拒（E400001）。见 case-visibility-policy.md。bulk_update_cases 走同一套校验。
如果修改了以下内容，必须提示用户同步检查相关 pipeline：
原因：
如果用户下一步就要修这些引用关系，切到 testany-pipeline。
调用 testany_delete_case 前，必须先明确告知用户：
409当前限制：
如果删除失败并返回 409：
testany-pipeline 解除组装关系，再重试testany_bulk_delete_cases 同样受上述约束：
Testany 使用 case_labels 实现虚拟目录结构：
典型流程：
testany_list_labelstestany_create_labeltestany_update_case / testany_bulk_update_cases / testany_bulk_append_casesdry run 只验证 case 本身是否 ready，不替代 pipeline 编排验证。
流程：
testany_dry_run_case —— 触发 dry run，拿到 dry_run_idtestany_get_dry_run_result —— 轮询直到 dry_run_status 进入终态testany_get_dry_run_log —— 拼接 logUrl + 签名 curl，由 agent 代为执行拉日志dry_run_status 与 execution status 共用同一套数值：
| 值 | 含义 | 是否终态 |
|---|---|---|
| -1 | NOT_STARTED（排队中） | 否 |
| 0 | RUNNING | 否 |
| 1 | SUCCESS | 是 |
| 2 | FAILURE | 是 |
| 5 | CANCELLED | 是 |
| 99 | ERROR | 是 |
常见误用：把 1 (SUCCESS) 当成 RUNNING 持续轮询。看到 1 就该停下来，要么报告成功、要么调 testany_get_dry_run_log 看输出。
典型用途：
testany_get_dry_run_log 看 stdout / 错误堆栈，定位是脚本 bug 还是配置 bug| 场景 | 处理方式 |
|---|---|
| 用户只有传统测试场景，没有 package | 先去 testany-case-writing |
| 用户要注册多个原子步骤 | 按 package inventory 逐个创建/更新 case |
| 用户希望形成可执行链路 | case 注册后继续到 testany-pipeline |
| 用户想删除 case | 先提醒 pipeline 组装约束与 409 风险 |
| 用户更新了 relay / 输入输出相关字段 | 提醒同步检查相关 pipeline |
任务完成后，向用户汇报：
A1B2C3D4）testany-pipelinetestany-triggername: testany-case description: Testany platform case 注册与 CRUD - 将已准备好的 platform case package 注册到平台，并管理 metadata、脚本与生命周期 argument-hint: "[操作] [描述]，如：注册这些 case packages、查看 A1B2C3D4、更新脚本、删除一个 case"
---
name: testany-case
description: Testany platform case 注册与 CRUD - 将已准备好的 platform case package 注册到平台，并管理 metadata、脚本与生命周期
argument-hint: "[操作] [描述]，如：注册这些 case packages、查看 A1B2C3D4、更新脚本、删除一个 case"
---
# Testany Platform Case Registration & CRUD
本 skill 通过 Testany MCP 工具管理 **Testany 平台上的 platform cases**。
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**：
- Testany `case` 是**可复用原子自动化步骤包**
- Testany **不支持直接执行单条 case**
- 如果用户要真正执行，后续仍需要 `testany-pipeline`
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**，并产出脚本、ZIP 与 decomposition
- 本 skill 负责把这些 **platform case packages 注册到 Testany 平台**
- `testany-pipeline` 负责把 platform cases 组装成可执行 pipeline
- `testany-trigger` 负责配置 `Plan / Manual Trigger / Gatekeeper`
**重要结论**：
- 本 skill 的主路径不应该是“现场理解业务场景并写 case”
- 本 skill 的主路径应该是“消费上游已准备好的 package / metadata / decomposition，完成平台注册与生命周期管理”
---
## 职责
- 注册 `testany-case-writing` 已产出的 platform case packages
- 创建 case shell、补齐 case metadata、上传脚本 ZIP
- 查询、更新、批量更新、删除平台上的 platform cases
- 在变更后提醒用户检查下游 pipeline 影响面
- 在可行时触发 dry run 验证 case 是否 ready
## 不负责的事情
- **不**负责把传统测试场景拆解成 platform cases；这属于 `testany-case-writing`
- **不**负责创建或更新 pipeline；这属于 `testany-pipeline`
- **不**负责配置 Plan / Manual Trigger / Gatekeeper；这属于 `testany-trigger`
---
## 操作速查
| 用户意图 | 操作类型 | 工具 |
|---------|---------|------|
| 注册新的 platform case | Create | `testany_create_case` → `testany_update_case` → `testany_update_case_script` |
| 查看 case 详情 | Read | `testany_get_case` |
| 查看 case 脚本内容 | Read | `testany_get_case_script` |
| 搜索/列出 cases | Read | `testany_list_cases` |
| 列出我的 cases | Read | `testany_list_my_cases` |
| 更新 metadata / script | Update | `testany_update_case` / `testany_update_case_script` |
| 删除 case | Delete | `testany_delete_case` |
| 批量更新 cases | Bulk Update | `testany_bulk_update_cases` |
| 批量删除 cases | Bulk Delete | `testany_bulk_delete_cases` |
| dry run 验证 | Validate | `testany_dry_run_case` → `testany_get_dry_run_result` |
| 查看 dry run 日志 | Read | `testany_get_dry_run_log`（拼接出 logUrl + curlCommand，agent 代为执行） |
---
## Create（注册新的 platform case）
### Phase 0: 先判断输入模式
按以下优先级选择输入模式：
1. **Primary：已有 platform case package**
- 来自 `testany-case-writing`
- 已准备好脚本、ZIP、metadata、executor 选择
- 最适合本 skill
2. **Secondary：已有脚本/ZIP，但 metadata 不完整**
- 可以在本 skill 中补齐名称、可见性、labels、case_meta 等字段
3. **Fallback：只想先创建草稿 shell case**
- 仅当用户明确要求占位、预留 key、先建空壳时使用
- 不能把它包装成“已经完成自动化落地”
如果用户只有传统测试场景，没有脚本、ZIP、decomposition：
- 停止直接创建
- 切到 `testany-case-writing`
### Phase 1: 准备可选项
并行获取：
- `testany_filter_case_runtimes`
- `testany_get_my_workspaces`
- `testany_get_tenant_config`（拿 `deployment_type`，决定 visibility 默认值，见 [case-visibility-policy.md](../testany-guide/references/case-visibility-policy.md)）
如涉及 labels，先：
- `testany_list_labels`
- 如缺失再 `testany_create_label`
### Phase 2: 收集注册所需字段
优先一次性收集以下内容：
| 字段 | 必填 | 说明 |
|------|------|------|
| `name` | 是 | platform case 名称 |
| `runtime_uuid` | 是 | 运行环境 UUID，推荐 cloudprime |
| `is_private` | 是 | Global / Private — **受 `deployment_type` 约束**，见 [case-visibility-policy.md](../testany-guide/references/case-visibility-policy.md) |
| `workspace_keys` | 条件必填 | `is_private=true` 时必填；详见 policy 文档 |
| `description` | 建议 | 说明该 platform case 的原子职责 |
| `case_labels` | 建议 | 用于目录视图和检索 |
| `case_meta` | 条件必填 | 运行所需配置，具体字段见 executors reference |
| ZIP / 脚本包 | 条件必填 | 若目标是注册 runnable case，通常需要 |
**收集原则**：
- 主路径假设用户已经有 package；本 skill 只做“平台注册与补齐元数据”
- 如果用户明确只要草稿 case，可暂不上传 ZIP，但必须明确这是占位资产，不可直接执行
### Phase 3: 创建 shell case
调用 `testany_create_case`：
- `name`
- `runtime_uuid`
- `is_private`
- `workspace_keys`
### Phase 4: 补齐 metadata / 运行配置
调用 `testany_update_case` 设置：
- `description`
- `case_labels`
- `environments`
- `owned_by`
- `case_version`
- `case_meta`
这里的 `case_meta` 后端字段名仍然是 `trigger_method`，但它表示的是 **case 级运行入口配置**：
- `executor`
- `trigger_path`
- `trigger_command`
它不等于 `Plan / Manual Trigger / Gatekeeper` 这类 pipeline trigger。
#### `case_meta.environment_variables`
case 运行时可见的变量列表，每条有一个 `type`：
| type | 用途 | 填值方式 |
|------|------|---------|
| `env`（默认） | 普通环境变量、relay 输入 | 填 `value` |
| `output` | 供 pipeline 中其他 case relay 消费 | 填 `value`（运行时由脚本写入） |
| `secrets` | 引用 workspace 的 Credential Safe 条目 | 填 `secret_ref: { workspace_key, credential_safe_key, credential_key }`；**禁止**填 `value` |
**关于 `type=secrets`**：
- 声明后，脚本里直接用同名环境变量读取凭证值即可（例：`os.getenv("DB_PASSWORD")`），不需要额外的取值代码或 SDK
- 如果用户没有现成的 `credential_safe_key` / `credential_key`，用 `testany_list_credential_safes` → `testany_list_credential_keys` 两步查询（`runtime_uuid` 必须与 case 一致；两个工具返回签名 curl，需 agent 代为执行）。详细流程见 [executors.md 的"查询 credential_safe_key / credential_key"](./references/executors.md)
- 读回 case 时，每条 secrets 行附带只读字段 `status`（`valid` / `blocked` / `invalid`）和 `status_reasons[]`
- 非 `valid` 要向用户报告原因。常见 reason：`owner_access_not_satisfied`（owner 没访问权）、`visibility_not_satisfied`（case 可见性收窄）、`target_not_found_or_unresolvable`（safe/key 不存在）、`secret_ref_malformed`（引用字段不完整）
- 写入时不要传 `value` / `status` / `status_reasons`；传了会被后端拒绝
- 如果 `testany_update_case` / `testany_bulk_update_cases` / `testany_bulk_append_cases` 返回错误码 `E400002`（`case_secrets_feature_disabled`），向用户说明：**当前 workspace 的 secrets 功能可能未开启，请联系 workspace 管理员**
**写入注意（整集合替换语义）**：`environment_variables` 是整数组替换。若只想新增或修改单条 secret，必须先 `testany_get_case` 读出现有条目，在内存里合并后再写回；否则其他 env / output / secrets 行会被一并清空。
详细字段规则见：
- [Case 元数据规范](./references/case-metadata-spec.md)
- [Executor 配置详解](./references/executors.md)
### Phase 5: 上传脚本 ZIP
如果用户已经准备好脚本包，调用 `testany_update_case_script` 上传。
如脚本中包含以下能力，提醒用户同步补齐配置：
- Relay 输出 → 在 `case_meta.environment_variables` 中声明对应的 `type=output` 行
- 凭证 / 敏感值访问 → 在 `case_meta.environment_variables` 中声明 `type=secrets` 行 + `secret_ref`，脚本里直接读同名环境变量即可
### Phase 6: 可选 dry run
如用户要求验证，或刚补齐了必填字段：
1. `testany_dry_run_case`
2. `testany_get_dry_run_result` 轮询直到进入终态
3. 如需排查（例如失败、想看实际 stdout），调 `testany_get_dry_run_log` 拿 `curlCommand` 后由 agent 代为执行拉取日志
### Phase 7: 明确 downstream handoff
创建完成后，必须显式说明：
- 这是已注册的 **platform case**
- 如果用户要形成可执行链路，下一步需要 `testany-pipeline`
- 即使只有一个 case，要在 Testany 中执行也仍需一条 pipeline
---
## Read（查询）
| 场景 | 工具 | 说明 |
|------|------|------|
| 获取单个 case 详情 | `testany_get_case` | 传入 case key |
| 获取 case 脚本内容 | `testany_get_case_script` | 下载 ZIP 并返回文件内容 |
| 搜索所有 cases | `testany_list_cases` | 支持 workspace / keyword / page 等过滤 |
| 列出我的 cases | `testany_list_my_cases` | 适合个人资产盘点 |
---
## Update（更新）
### 可更新的字段
| 字段 | 说明 |
|------|------|
| `name` | case 名称 |
| `description` | 原子职责说明 |
| `is_private` | 可见性 |
| `workspace_keys` | 私有 case 的工作空间列表 |
| `environments` | 环境标签 |
| `case_labels` | 分类标签 |
| `case_version` | 版本号 |
| `owned_by` | 所有者 |
| `case_meta` | 运行配置 |
| 脚本 ZIP | 通过 `testany_update_case_script` 上传 |
### 更新流程
1. `testany_get_case` 获取当前配置
2. 确认要修改的字段
3. `testany_update_case` 提交 metadata 更新
4. 如需替换脚本，再 `testany_update_case_script`
### Visibility 变更的特殊约束
`is_private` / `workspace_keys` 的更新受 `deployment_type` 约束：restricted → global 在 `type=2` 租户下会被拒（`E400001`）。见 [case-visibility-policy.md](../testany-guide/references/case-visibility-policy.md)。`bulk_update_cases` 走同一套校验。
### 必须提醒用户检查下游 pipeline 的情况
如果修改了以下内容，必须提示用户同步检查相关 pipeline：
- executor 相关配置
- 脚本入口或运行命令
- Relay 输出变量
- 输入环境变量名称
- 脚本内部行为导致的输入/输出变化
原因：
- pipeline 可能依赖该 case 的 relay、顺序或输入输出约定
- 平台 case 是可复用资产，case 变更可能影响多个 pipeline
如果用户下一步就要修这些引用关系，切到 `testany-pipeline`。
---
## Delete（删除）
### 单个删除
调用 `testany_delete_case` 前，必须先明确告知用户：
- 如果该 case 已被编排到一个或多个 pipeline 中，平台会返回 `409`
- 需要先把该 case 从相关 pipeline 中移除，才能删除
- 如果该 case 是 Git 导入资产，也可能无法手动删除
**当前限制**：
- 如 MCP 侧没有现成的 “used by pipeline” 查询工具，则无法在删除前完全自动 preflight
- 因此应把删除结果视为“可能失败的受约束操作”，而不是无条件直删
如果删除失败并返回 `409`：
- 明确向用户解释原因
- 建议先去 `testany-pipeline` 解除组装关系，再重试
### 批量删除
`testany_bulk_delete_cases` 同样受上述约束：
- 任何已被 pipeline 组装的 case 都会导致删除受阻
- 先提醒风险，再执行
---
## Labels 与目录视图
Testany 使用 `case_labels` 实现虚拟目录结构：
- 一个 case 可以有多个 labels
- Labels 必须先存在，才能在 case 上引用
典型流程：
1. `testany_list_labels`
2. 如缺失，`testany_create_label`
3. `testany_update_case` / `testany_bulk_update_cases` / `testany_bulk_append_cases`
---
## Dry Run（验证）
dry run 只验证 **case 本身是否 ready**，不替代 pipeline 编排验证。
流程：
1. `testany_dry_run_case` —— 触发 dry run，拿到 `dry_run_id`
2. `testany_get_dry_run_result` —— 轮询直到 `dry_run_status` 进入终态
3. （需要时）`testany_get_dry_run_log` —— 拼接 logUrl + 签名 curl，由 agent 代为执行拉日志
`dry_run_status` 与 execution status 共用同一套数值：
| 值 | 含义 | 是否终态 |
|----|------|---------|
| -1 | NOT_STARTED（排队中） | 否 |
| 0 | RUNNING | 否 |
| 1 | SUCCESS | 是 |
| 2 | FAILURE | 是 |
| 5 | CANCELLED | 是 |
| 99 | ERROR | 是 |
**常见误用**：把 `1 (SUCCESS)` 当成 RUNNING 持续轮询。看到 `1` 就该停下来，要么报告成功、要么调 `testany_get_dry_run_log` 看输出。
典型用途：
- 新上传脚本后确认 case 已可运行
- 更新必填字段后确认配置完整
- 失败时通过 `testany_get_dry_run_log` 看 stdout / 错误堆栈，定位是脚本 bug 还是配置 bug
---
## 常见问题处理
| 场景 | 处理方式 |
|------|---------|
| 用户只有传统测试场景，没有 package | 先去 `testany-case-writing` |
| 用户要注册多个原子步骤 | 按 package inventory 逐个创建/更新 case |
| 用户希望形成可执行链路 | case 注册后继续到 `testany-pipeline` |
| 用户想删除 case | 先提醒 pipeline 组装约束与 409 风险 |
| 用户更新了 relay / 输入输出相关字段 | 提醒同步检查相关 pipeline |
---
## 返回格式
任务完成后，向用户汇报：
- Case Key（如 `A1B2C3D4`）
- Case 名称
- 该 case 的原子职责
- 是否已上传脚本 ZIP
- 可见性（Global / Private + 工作空间列表）
- 是否已 dry run
- 下一步建议：
- 注册完成但尚未可执行 → 去 `testany-pipeline`
- 已有 pipeline 但缺执行入口 → 去 `testany-trigger`
---
## 参考文档
- [Testany 自动化对象模型](../testany-guide/references/automation-model.md)
- [Case 元数据规范](./references/case-metadata-spec.md)
- [Executor 配置详解](./references/executors.md)
- [核心概念](./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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}Listing source
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Audit
73/100
Needs review
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.