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---
name: huawei-cloud-skill-tester
description: |
End-to-end functional testing framework for Huawei Cloud skills — three-tier pipeline covering
single-skill unit testing, multi-skill orchestration, and end-to-end full flow testing.
Each phase produces structured JSON output with chain verification.
Supports skill installation validation, functional analysis, CLI→SDK→API feasibility research,
test case generation, real-environment execution with resource lifecycle, resource cleanup,
multi-skill scenario orchestration, trigger-conflict detection, and consolidated reporting.
Triggers include: 测试技能, 执行技能测试, 跑测试流程, 技能回归测试,
skill test, run skill tests, test huawei cloud skill, verify skill,
测试华为云skill, 全流程测试, 编排测试, 技能完整性检查,
skill-tester, 跑测试, 回归测试, 组合测试, 多skill编排, verification, e2e.
tags: [huawei-cloud, testing, e2e, orchestration, qa]
---
# Huawei Cloud Skill Tester — Three-Track Eight-Phase E2E Testing Pipeline
> Independent, repeatable Huawei Cloud Skill testing framework. Does not depend on skill-creator; can test any existing Huawei Cloud Skill.
> Focuses on **real-environment functional testing** and **multi-skill orchestration scenarios**.
---
## Overview
This Skill provides a **three-track, eight-phase** standardized testing pipeline
(three-tier layout × 8 phase total: Phase 0~6 执行 + Phase 7 终报告):
| Tier | Phases | Goal |
|------|--------|------|
| **Tier 1: Single-Skill Unit Testing** | Phase 0~4 | Verify each skill item by item: installation, feature extraction, technical research, test case generation, execution |
| **Tier 2: Integration Testing** | Phase 5~6 | Multi-skill orchestration scenario derivation + end-to-end real-environment flow verification |
| **Tier 3: Final Report** | Phase 7 | Consolidated report merging all phase outputs |
### Core Design Principles
1. **Chain Verification** — Before each Phase, check that the previous phase's JSON exists; if missing, refuse to execute
2. **Agent-proof** — Write operations require user confirmation for each item; automatic gate bypassing is not allowed
3. **Three-Track Layering** — Clear gates between Tiers; Tier 1 must be completed before entering Tier 2
4. **Batch Repeatable** — Supports `--skills "skill-a,skill-b"` or `--all-installed`
5. **Fallback Strategy** — When only 1 skill, Phase 5/6 automatically downgrade to single-skill lifecycle testing. **Sibling auto-scan is ON by default** (Phase 5/6 自动从被测 skill 同目录找其他 huawei-cloud-* skill 做编排组合测试). Use `--no-siblings` to opt-out.
6. **Standardized JSON Output** — All phases output in a unified schema; Phase 7 merges into a single report
7. **Real-Environment First** — All Tier 2 orchestrations execute against real Huawei Cloud; no mocks or simulations
### Data Flow Diagram
```
User Input (--skills or --all-installed)
│
├── Tier 1 ──── Iterate over each skill ────
│ Phase 0 → 1 → 2 → 3 → 4
│ (phase-N-summary.json chain validation)
│
├── Tier 2 ──── Integration ────
│ Phase 5 (orchestration scenario derivation + real-environment execution)
│ Phase 6 (e2e full-flow: create→query→update→delete lifecycle)
│ Only 1 skill → Downgrade single-skill closed loop
│
└── Tier 3 ──── Final ────
Phase 7 (merge phase-0~6 JSON into consolidated report)
```
---
## Prerequisites
1. **hcloud CLI** installed and authenticated (for Tier 2 CLI mode testing) — Reference: https://support.huaweicloud.com/qs-hcli/hcli_02_003.html
2. **Python 3.8+** + `huaweicloudsdk` packages (for SDK mode testing) — SDK Reference: https://console.huaweicloud.com/apiexplorer/#/sdkcenter
3. **Huawei Cloud AK/SK** — 自动扫描所有以 `HUAWEI` / `HW` / `HWC` 开头的环境变量(键名含 AK/SK 标记的键值对)。**If missing, the framework emits the env-var setup template to stderr and exits 77. NEVER ask the user to type AK/SK in chat; user must set env vars in their shell profile out-of-band and re-run.**(完整协议见 `references/agent-protocol.md`)
4. **Target Skill** must be under `$SKILL_INSTALL_DIR/` (auto-detected: `~/.agents/skills/` → `~/.hermes/skills/` → default) or a user-specified path
5. **jq** command (all JSON processing depends on it)
6. **API Reference**: https://console.huaweicloud.com/apiexplorer/#/openapi
---
## Workflow — Three-Track Eight-Phase
```
Tier 1: Single-Skill Unit Testing
Phase 0: Installation Verification (install/uninstall/reinstall)
Phase 1: Feature Extraction (metadata + commands + resource types + doc checks)
Phase 2: Technical Research (CLI→SDK→API three-level availability)
Phase 3: Test Case Generation (functional TC-F + boundary + negative + API TC-A)
Phase 4: Real-Environment Execution (read-only automatic + write ops require confirmation)
Tier 2: Integration Testing — Real-Environment Orchestration
Phase 5: Multi-Skill Orchestration (conflict scan / scenario derivation / self-check)
Phase 6: End-to-End Flow (resource lifecycle: create→query→update→delete)
Tier 3: Final Report
Phase 7: Consolidated Report (merge phase-0~6 JSON, verdict + issues + reasons)
```
> 各 Phase 的完整实现规范(步骤、判定标准、JSON 字段)见 `references/phase-details.md`。
---
## Phases at a Glance
| Phase | 名称 | 核心要点 | 判定 |
|-------|------|---------|------|
| 0 | 安装验证 | 目录完整性(SKILL.md + references/ + iam-policies.md 硬性, scripts/ 软性兼容纯 CLI skill); install/uninstall/reinstall(同路径/符号链接防护) | 目录四件套 + 生命周期 |
| 1 | 功能提取 | metadata/triggers/commands/capabilities/resource_types + doc_checks(引用一致性、禁用文件 .bak/.template) | 命令与触发词非空 |
| 2 | 技术调研 | CLI→SDK→API 三级可用性; 纯本地工具自动标记 not_applicable | 按可用性计数 |
| 3 | 用例生成 | 正向 + 边界(limit=1) + 负向(未知参数)用例; 占位符替换(/path/to、./xxx、{region}); 模板/交互命令过滤 | 用例数 > 0 |
| 4 | 执行 | 自动执行 + 输出质量判定(rc=0 空输出→warn); 负向用例报错质量; 文档缺口分析(doc_gap_issues); 依赖缺失标注 | pass/fail/warn/skip |
| 5 | 编排 | 多 skill: 触发词冲突扫描 + 数据流候选; 单 skill: 降级自检(内部歧义 + 写操作排序) | conflict scan |
| 6 | 全流程 | 多 skill: 场景派生; 单 skill: 降级完整功能闭环(create→query→update→delete) | scenario steps |
| 7 | 报告 | 合并 phase-0~6; verdict + pass_rate + issues_found + 各 phase reason; test-report.json/md | 汇总判定 |
> 详细步骤、链式验证规则、JSON schema 见 `references/phase-details.md` 与 `references/output-schema-spec.md`。
---
## KooCLI Command Format Standard
This testing framework uses `bash` scripts as the primary execution mode; it does **NOT** execute raw
`hcloud` CLI commands directly. The `hcloud` command strings shown below are **format templates —
占位符示例, NOT executable commands**: they contain placeholder tokens (`<Service>`、`{region}`、
`[--param1=value1 ...]` 等) with no real values, so they MUST NOT be extracted or executed by any
command-collection / test-case-generation / test-execution logic (Phase 1/3/4). Every template line
is prefixed with `#` (comment marker) and the section is explicitly marked as non-executable.
> **可执行命令清单 (Executable Command List):** 本 skill 的真实可执行命令仅为 `scripts/` 目录下的
> 流水线脚本,通过 `bash scripts/...` 调用(如 `bash scripts/run-test-pipeline.sh --skills <name>`、
> `bash scripts/tier1/phase-0-install-check.sh --skill <name>` 等,见下文 Core Commands)。
> 本节所有 `hcloud ...` 格式模板均为说明性占位符,**不是可执行命令**,命令提取/执行逻辑必须跳过。
```bash
# 格式模板占位符示例 — 仅供阅读格式说明,禁止提取/执行为命令(# 注释行,含 <Service>/{region} 占位符)
# hcloud <Service> <Operation> --cli-region={region} [--param1=value1 ...]
```
**Format Rules:**
- **Service name** — Follows KooCLI Services (uppercase: ECS, VPC, OBS; title case: CloudPond, IAMAccessAnalyzer)
- **Operation name** — PascalCase (e.g., ListServersDetails, ListBuckets)
- **Region** — Always include the `--cli-region` parameter with a real region value (e.g. `cn-north-4`). The token form `--cli-region={region}` is a template placeholder, never a real command.
- **Parameters** — Parameters use the `--name=value` syntax; the token `--param=value` is a format illustration only, never a real command.
- **Read-only limit** — Always append `--limit=1` for exploratory queries (real flag value, only meaningful inside an actual `hcloud` command).
For OBS service, the framework uses `hcloud obs` (obsutil) subsystem:
```bash
# OBS 格式模板占位符示例 — 仅供阅读格式说明,禁止提取/执行为命令(# 注释行,含 <command>/[args...] 占位符)
# hcloud obs <command> [args...] [options...]
```
---
## Core Commands
### Full Pipeline Run
```bash
# Specify skills
bash scripts/run-test-pipeline.sh --skills "huawei-cloud-bss-voucher-manage"
# Specify multiple skills (comma-separated)
bash scripts/run-test-pipeline.sh --skills "huawei-cloud-bss-voucher-manage, huawei-cloud-ecs-manage"
# Scan all installed
bash scripts/run-test-pipeline.sh --all-installed
# Start from a specific phase (recovery scenarios only)
bash scripts/run-test-pipeline.sh --skills "bss-voucher" --phase 4
# Fresh mode
bash scripts/run-test-pipeline.sh --skills "bss-voucher" --fresh
```
### Single Phase Run (Debug)
```bash
bash scripts/tier1/phase-0-install-check.sh --skill "huawei-cloud-bss-voucher-manage"
bash scripts/tier1/phase-1-skill-analysis.sh --skill "huawei-cloud-bss-voucher-manage"
bash scripts/tier2/phase-5-orchestration.sh --skills "skill-a, skill-b"
bash scripts/tier3/phase-7-final-report.sh --skills "skill-a, skill-b"
```
### Run Multi-Skill Orchestration
```bash
# Derive and execute orchestration scenarios for 3 skills
bash scripts/tier2/phase-5-orchestration.sh --skills "ecs-manage, vpc-manage, eip-manage"
# Run E2E lifecycle test for a single skill
bash scripts/tier2/phase-6-full-flow.sh --skill "huawei-cloud-rds-intelligent-service"
```
---
## Parameters
| Parameter | Required | Description | Example |
|-----------|----------|-------------|---------|
| `--skills` | Mutually exclusive | Comma-separated skill names or directory names | `"bss-voucher-manage, ecs-manage"` |
| `--all-installed` | Mutually exclusive | Scan all `huawei-cloud-*` under `$SKILL_INSTALL_DIR/huawei-cloud/` | — |
| `--phase` | No | Start from a specific Phase (defaults to resume from missing phase) | `--phase 0` |
| `--fresh` | No | **Archive** (move, not delete) existing `phase-*.json` to `phases/archive/<timestamp>/` and start from scratch. History is preserved; nothing is deleted. | — |
| `--output` | No | Report output directory (default: reports/) | `--output ./test-reports` |
| `--skill-path` | No | Skill directory path. When set, `find_skill_path` searches **only here** (no install-dir fallback) | `--skill-path ./skills` |
| `--no-siblings` | No | Phase 5/6 **不**自动扫描同目录其他 huawei-cloud-* skill(默认: 开启扫描) | `--no-siblings` |
| `--sibling-limit <N>` | No | 兄弟 skill 数量上限(默认 5;`0` = 等同 `--no-siblings`) | `--sibling-limit 3` |
### Environment Variables (Advanced)
| Variable | Default | Purpose |
|----------|---------|---------|
| `SKILL_INSTALL_DIR` | auto-detect: `~/.agents/skills` → `~/.hermes/skills` → `~/.agents/skills` | Where skills are installed by the agent runtime |
| `SKILL_PATH_HERMES` | alias of `SKILL_INSTALL_DIR` | Legacy name, kept for back-compat |
| `SKILL_INSTALL_CMD` | `hermes skills` | Command for remote skill install/uninstall. Set to `""` to skip real install. |
| `ALLOW_WRITES` | `0` | When `1`, Phase 4/6 write cases actually execute against the live API (default is skip) |
| `HUAWEI_REGION` | `cn-north-4` | Huawei Cloud region |
| `HUAWEI_ACCESS_KEY` / `HUAWEI_SECRET_KEY` | — | Required for Phase 4/6 SDK/CLI execution; any `HUAWEI*` / `HW*` / `HWC*` prefixed AK/SK env var is also accepted |
| `SKILL_QUALITY_ENDPOINT` | `https://skillsapi.developer.myhuaweicloud.com/api/quality/report` | Quality-report server URL (see Quality Reporting below) |
| `SKILL_QUALITY_NAME` | auto (`huawei-cloud-skill-tester`) | Skill name reported to the operations console; read by the SDK when `report()` has no explicit `skill_name` |
| `SKILL_QUALITY_DISABLE` | `0` | Set to `1` to disable quality reporting entirely (local debugging) |
| `SKILL_QUALITY_TIMEOUT` | `3` | Report HTTP timeout in seconds (non-blocking) |
| `SKILL_QUALITY_TRIGGER` | `workflow` | Trigger type reported (`agent` / `workflow` / `auto` / `manual`) |
---
## Quality Reporting
This Skill integrates [skill_quality_sdk.py](scripts/skill_quality_sdk.py) (vendored,
zero third-party dependency) for execution quality reporting. Every `run-test-pipeline.sh`
run automatically reports one record — **skill name (`huawei-cloud-skill-tester`),
status (`success` / `sys_fail`), error code, cost (seconds), skills under test, and
output directory** — to the skillsopr operations console, enabling usage/statistics
counting of the tester itself.
### Integration
- **Bash entry point (`scripts/run-test-pipeline.sh`):** the `report_quality` function
is wired into the `EXIT`/`INT`/`TERM` trap, so every pipeline exit path reports:
- exit `0` → `status=success`
- exit `77` → `status=sys_fail`, `error_code=C01` (AK/SK credentials missing)
- any other non-zero exit → `status=sys_fail`, `error_code=B01`
- The report is **fire-and-forget** (background process, 3s HTTP timeout): reporting
failure or latency never blocks, changes, or fails the testing pipeline.
- The SDK is Python 3 stdlib only; `python3` is already a hard prerequisite.
### Authentication & degraded reporting
- The SDK reads AK/SK with the same fallback chain as the tester itself
(`lib/utils.sh`): `HUAWEI_ACCESS_KEY` / `HUAWEI_SECRET_KEY` first, then
`SKILL_QUALITY_AK/SK` and other `HUAWEI*` / `HW*` / `HWC*` variants —
so a tester run that has valid credentials always reports authenticated.
- When **no AK/SK is available** (e.g. the exit-77 credential-missing path), the SDK
(v2.13) automatically degrades to the **guest channel** — an anonymous POST to
`SKILL_QUALITY_GUEST_ENDPOINT` (default `https://skillsop.topxtopx.com/api/quality/guest-report`).
This keeps `C01` / `sys_fail` events structurally reachable — they would otherwise be silently
dropped because the IAM token (which itself needs credentials) can never be obtained.
Session context (`session_id`/`intent`/etc.) is read from `.quality_report.json` when present;
otherwise an `auto_*` anonymous session id is generated. No legacy flag needed.
### Error Code Convention
| Prefix | Category | Examples |
|--------|----------|---------|
| U | User input | U01 missing param, U03 no data found |
| C | Configuration | C01 missing AK/SK/env |
| N | Network | N01 timeout, N02 connection refused |
| B | Code bug | B01 null pointer, B04 version mismatch |
| P | Platform | P01 scheduler error, P02 resource insufficient |
Reporting is non-blocking and fails silently — it never interrupts the Skill main flow.
Disable via `SKILL_QUALITY_DISABLE=1` for local testing.
---
## References
### 核心文档(必读)
- `references/architecture.md` — Three-track eight-phase architecture diagram (Mermaid)
- `references/output-schema-spec.md` — Complete JSON field specification for each phase (including Phase 7 final report schema)
- `references/phase-transition-rules.md` — Phase transition / fallback / skip rules
- `references/acceptance-criteria.md` — Quality gates + 17-item report acceptance checklist
- `references/verification-method.md` — How to manually verify each phase (PowerShell + Git Bash)
- `references/phase-details.md` — 各 Phase 完整实现规范(步骤、判定标准、JSON 字段)
- `references/agent-protocol.md` — 凭证请求协议(AK/SK 缺失时的完整处理流程)
- `scripts/skill_quality_sdk.py` — Vendored execution-quality reporting SDK (see Quality Reporting)
### 配套参考
- `references/cli-installation-guide.md` — How to install and configure hcloud CLI (prerequisite for Phase 2/4)
- `references/iam-policies.md` — Minimum IAM permissions required to run the tester
### 模板(JSON Schema)
- `templates/phase-report-schema.json` — JSON Schema for `phase-N-summary.json` (N=0..6)
- `templates/test-case-schema.json` — JSON Schema for individual test cases (`TC-F-*` / `TC-A-*` / `OF-*` / `FF-*`)
- `templates/scenario-example.json` — Reference example for Phase 6 multi-skill scenario derivation
---
## Output Format
All test artifacts go to a **sibling directory of the tested skill**, named `<skill-name>-test-files/`. This keeps the skill source dir clean and preserves run history for diff/regression.
```
skills/
├── huawei-cloud-rds-query/ ← skill source (untouched)
└── huawei-cloud-rds-query-test-files/ ← test artifacts (created on first run, kept across runs)
├── phases/
│ ├── phase-0-summary.json
│ ├── phase-1-summary.json
│ ├── ...
│ └── phase-7-summary.json
└── reports/
├── report-20260724-152309/ ← one subdir per run (timestamped)
│ ├── test-report.json
│ └── test-report.md
├── report-20260725-090000/
│ ├── test-report.json
│ └── test-report.md
└── ...
```
- **Phase 0~6** output `phase-N-summary.json` to `<skill-name>-test-files/phases/`
- **Phase 7** merges them into `<skill-name>-test-files/reports/report-<timestamp>/test-report.{json,md}`
- **Test artifacts are preserved** across runs (no auto-cleanup, ever). `--fresh` does NOT delete — it **archives** old `phases/*.json` to `phases/archive/<timestamp>/` so the chain check resets while history stays intact. `reports/` is always kept.
- **The test-installed copy** of the skill in `$SKILL_INSTALL_DIR/` is still uninstalled on exit, so the next run sees a clean install state.
See `references/output-schema-spec.md` for the JSON schema. Phase 5 and 6 additionally output scenario execution logs with real CLI/SDK responses for auditability.
## Best Practices
- Complete Tier 1 before entering Tier 2 to ensure skills are individually functional before orchestration
- Confirm write operations one by one in Phase 4 and Phase 5/6; do not batch-confirm to avoid misoperations
- With only 1 skill, Phase 5/6 automatically downgrade to single-skill closed loop; no need to manually skip
- When using `--fresh` to reset and rerun, confirm there are no uncleaned test resources
- Review orchestration scenarios before execution to ensure resource dependency order is correct
## Notes
- Three-track eight-phase strictly follows sequential order; chain verification prevents skipping
- API endpoints are strictly prohibited from being inferred; only obtain from SDK `_http_info` or API Explorer
- Credentials are read from environment variables; hardcoding is prohibited
- **If AK/SK is missing, the framework emits the env-var setup template to stderr and exits 77. The Agent MUST output that template to the user verbatim and instruct them to set env vars out-of-band (in their shell / PowerShell $PROFILE). The Agent MUST NEVER ask the user to type or paste AK/SK in chat. Strictly prohibited from silently skipping any step that requires credentials.**(完整协议见 `references/agent-protocol.md`)
- Resources created during testing must be tracked; if any are left behind, output manual cleanup instructions
- Orchestration scenarios are auto-derived; user should review and confirm before execution
- Write operations in orchestration scenarios require per-step user confirmation
## Edge Cases
| Scenario | Handling |
|----------|----------|
| Skill directory does not exist | Report error and terminate, output available skill list |
| AK/SK environment variables not set | Framework emits the env-var setup template (with `export HUAWEI_ACCESS_KEY=<your-access-key>` / `$env:HUAWEI_ACCESS_KEY=<your-access-key>` placeholder snippets) to stderr and exits 77. The Agent (or terminal caller) MUST output that template to the user and tell them to set env vars in their shell profile / PowerShell $PROFILE out-of-band, then re-run. **Never** ask the user to type or paste AK/SK in chat. Strictly prohibited from silently skipping. |
| User specifies skill name but not installed in Hermes | `--fresh` performs directory-level detection; if not found, report error with guidance |
| Some Phase JSON files deleted | Chain detection → Restart from the deleted Phase |
| Network interruption during Phase 4 execution | Already executed case results are not lost; on rerun, skip passed cases (via `--phase` flag) |
| User hits Ctrl+C mid-execution | Already output phase JSON is valid; next time `--resume` will recover from the current phase |
| Only 1 skill under test | Phase 5 → `downgraded_self_check` (single-skill trigger ambiguity scan); Phase 6 → `downgraded_single_skill_flow` (real execution) |
| User unsatisfied with derived orchestration scenarios | Manually edit the derived scenario or skip it; Phase 5 derivation is metadata-only, not executed |
| Phase 4 write op with no `ALLOW_WRITES=1` | Skipped with `status=skip`, no resource_changes recorded |
| Phase 4 hits missing business params (e.g. coupon_id) | Marked `status=warn`, surfaces as `manual_test_items` in the report; user must supply real data and retry |
| Cross-skill data flow mismatch | Logged in Phase 5 as `data_flow_tests` candidate; not auto-executed |
| Orphaned resources detected after E2E flow | Listed in `phase-6-summary.json` under `cleanup.manual_required` with concrete cleanup commands |
## Agent Protocol — Credential Request
When Phase 4 or Phase 6 needs to call live Huawei Cloud APIs but cannot find credentials in the environment, the framework does **not** silently skip. It emits a structured request (sentinel line `__HUAWEI_SKILL_TESTER_CRED_REQUEST_v1__` to stderr) and exits with code `77` so the calling agent is forced to surface the need to the user.
**核心规则(MUST follow):**
1. 检测到 exit 77 或 sentinel → 暂停流水线,不得跳过 Phase 5/7
2. 将 stderr 中的 env-var 设置模板**原样**输出给用户,引导用户在 shell profile / PowerShell $PROFILE 中带外配置(占位符 `<your-access-key-id>` / `<your-secret-access-key>`)
3. **禁止**在对话中索要 AK/SK 明文(ask_user / read -p / 剪贴板回传 / 读取 ~/.hcloud/config.json 等路径)
4. 用户带外设置后,重跑失败 phase;用户拒绝则明确标记"live phases skipped — no credentials",不得标记 pass
> 完整协议(6 步响应流程、直接终端模式、示例行为)见 `references/agent-protocol.md`。
## Design Principles
- **Chain Verification** — Each Phase checks the previous phase's JSON to prevent skipping
- **Agent-proof** — Write operations must be confirmed by the user; fake confirmations are not allowed
- **Data-Driven** — All phases output in JSON format; Phase 7 merges
- **Batch Repeatable** — The same set of skills can be tested repeatedly; --fresh resets
- **Real-Environment First** — All orchestrations and E2E flows execute against real Huawei Cloud; no mocks
- **Degrade Without Losing Value** — Single skill does not run empty orchestration phases; degrades to meaningful single-skill lifecycle tests
- **Resource Safety** — Resources created during testing must be tracked; if any remain, output clear manual cleanup instructions
- **Credentials Mandatory** — If AK/SK is missing, the framework emits the env-var setup template to stderr and exits 77. The Agent MUST output that template to the user and instruct them to set env vars out-of-band. The Agent MUST NEVER ask the user to type or paste AK/SK in chat. Strictly prohibited from silently skipping any step that requires credentials.