mobile-testing
Use this skill when you need to design mobile test plans for iOS or Android covering functionality, compatibility, performance, network, and security; triggers include mobile testing and app testing.
Install
npx skills add https://github.com/naodeng/awesome-qa-skills/tree/main/skills/en/testing-types/mobile-testing
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install naodeng-awesome-qa-skills@llmmart
git clone https://github.com/naodeng/awesome-qa-skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole naodeng/awesome-qa-skills collection as a plugin from our marketplace. Git is the plain clone.
README
Mobile Testing
Skill Overview
Need help with mobile testing in a real project context; Need an output that can be used directly for execution, review, or follow-up.
How to Use
- Open
SKILL.mdin this folder and confirm this skill fits your task. - In your AI tool, call
@skill mobile-testing, then add your real project context and goal. - If you need a specific output format (table, checklist, report), include it directly in your request.
One-Click Install Script
Run from the repository root:
macOS / Linux
bash ./scripts/install-skills-mac.sh --tool codex --lang en --skill mobile-testing
Windows PowerShell
powershell -ExecutionPolicy Bypass -File .\scripts\install-skills-windows.ps1 -Tool codex -Lang en -Skill mobile-testing
Skill manifest
Mobile Testing (English)
Chinese version: See the corresponding Chinese skill.
When to Use
- Need help with mobile testing in a real project context.
- Need an output that can be used directly for execution, review, or follow-up.
Workflow
- Read and follow the main prompt listed under Progressive disclosure (coverage, structure, quality bar).
- Add only project context that changes the result: scope, environment, constraints, risks, dependencies, expected deliverable.
- If input is incomplete, return a usable first draft and explicitly mark assumptions and gaps.
- Default to Markdown; switch formats only when the user asks.
Core Constraints
- Prioritize by risk / business impact — do not treat everything equally.
- Separate confirmed facts from current assumptions.
- Do not invent endpoints, fields, environments, or root causes the user did not provide.
- Keep output executable: concrete scenarios, clear priority, clear next steps.
Progressive Disclosure
- Before producing output, read and follow
prompts/mobile-testing.md(minimum coverage, output structure, quality bar). - When Excel/CSV/JSON/Word is requested: read
output-formats.mdand honor the format. - When a ready-made template fits: use matching files under
output-templates/. - For deep framework/troubleshoot/schema notes: read only the relevant file(s) under
references/, do not load the whole directory. - For format conversion or helper checks: prefer existing
scripts/over reinventing. - For evaluating/regressing this skill: use
evals/with skill-up.
Pre-delivery Checklist
- Followed the main prompt's output structure
- Minimum coverage focus: scope, device and OS coverage, install or upgrade checks, core flows, permission handling, network and interruption behavior, push or deep link behavior if relevant, performance or battery concerns, ... (details in main prompt)
- Covered the minimum checklist, or explained omissions
- High-risk items have explicit priority
- Did not invent details the user did not provide
- Assumptions and gaps are marked
Common Pitfalls
- Do not pretend completeness when scope/context is missing.
- Do not treat every item as equally important.
- Do not skip assumptions and information gaps.
- Do not dump generic theory unrelated to the current toolchain.
Files (awesome-qa-skills)
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agents
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openai.yaml 456 B
version: 1 metadata: key: "mobile-testing" interface: display_name: "Mobile Testing (English)" short_description: "Use this skill when you need to design mobile test plans for iOS or Android covering functionality, compatibility, performance, network, and security; triggers…" default_prompt: "Use the mobile-testing skill to complete this testing task with structured outputs and practical next steps." policy: allow_implicit_invocation: true
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evals
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cases
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basic-success.yaml 725 B
id: basic-success title: "Mobile: device matrix and high-risk checks" description: | Return device matrix and mobile-specific risks (network, deeplink, etc.). input: prompt: | Use mobile-testing. App: buyer checkout on iOS/Android. Risks: weak-network payment status drift; push deeplink sometimes drops params. Produce a mobile plan: device matrix, high-risk checks, execution order. expect: must_contain: - "device" - "deeplink" - "network" - "compatibility" must_not_contain: - "TODO" - "I cannot" judge: type: rule_based success: - output_contains: all: - "Task Understanding" - "Device Matrix" - "device" - "network" -
edge-domain-boundary.yaml 751 B
id: edge-domain-boundary title: "Mobile: not desktop-web cases copy-pasted" description: | If given a desktop suite, emphasize mobile-only risks that must be added. input: prompt: | Use mobile-testing. A teammate hands a desktop web functional suite and says run it as-is on the app. Explain why that is insufficient and list must-add mobile high-risk checks (network interrupt, permissions, push/deeplink). expect: must_contain: - "mobile" - "network" - "scope" - "real device" - "simulator" must_not_contain: - "TODO" - "I cannot" judge: type: rule_based success: - output_contains: all: - "Device Matrix" - "High-Risk" - "scope" - "real device" -
edge-incomplete-input.yaml 691 B
id: edge-incomplete-input title: "Mobile: draft without a device list" description: | Missing models/OS versions must be marked as assumptions/gaps. input: prompt: | Use mobile-testing. Product says 'test points redemption on mobile' with no device list, OS versions, or permissions. Draft a plan and list device/environment questions to confirm. expect: must_contain: - "assumption" - "Open Questions" - "gaps" - "assumptions" - "confirm" must_not_contain: - "TODO" - "I cannot" judge: type: rule_based success: - output_contains: all: - "assumption" - "device" - "gaps" - "assumptions"
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eval.yaml 559 B
schema_version: v1alpha1 environment: type: none skills: - source: local_path path: . engine: name: claude_code # model is optional; omit to use engine default # model: # provider: anthropic # name: claude-sonnet-4-6 cases: files: - evals/cases/basic-success.yaml - evals/cases/edge-incomplete-input.yaml - evals/cases/edge-domain-boundary.yaml defaults: timeout_seconds: 180 max_turns: 8 expect: exit_code: 0 must_not_contain: - "TODO" - "I cannot" report: formats: [json]
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output-templates
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template-csv.csv 206 B · in bundle
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template-excel.tsv 358 B · in bundle
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template-json.json 393 B
{ "meta": { "skill": "", "scope": "", "environment": "", "priority": "" }, "inputs": { "requirement": "", "constraints": [], "risks": [] }, "execution": [ { "step": 1, "action": "", "expected": "" } ], "results": { "status": "", "evidence": [], "defects": [] }, "next_actions": [ { "owner": "", "eta": "", "action": "" } ] } -
template-markdown.md 250 B
# QA Output Template ## Summary - Skill: - Scope: - Environment: - Priority: ## Inputs - Requirement: - Constraints: - Risks: ## Execution 1. Step 1 2. Step 2 3. Step 3 ## Results - Status: - Evidence: - Defects: ## Next Actions - Owner: - ETA: -
template-word.md 302 B
QA Report ========= 1. Basic Information - Skill: - Scope: - Environment: - Priority: 2. Requirement and Constraints - Requirement: - Constraints: - Risks: 3. Test/Review Process - Step 1: - Step 2: - Step 3: 4. Outcome - Status: - Evidence: - Defects: 5. Follow-up Plan - Owner: - ETA: - Action: -
template-xmind.md 317 B
# QA Output Mindmap - QA Output - Meta - Skill - Scope - Environment - Priority - Inputs - Requirement - Constraints - Risks - Execution - Step 1 - Step 2 - Step 3 - Results - Status - Evidence - Defects - Next Actions - Owner - ETA - Action
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prompts
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mobile-testing.md 1.7 KB
# Mobile Testing Prompt Design mobile testing coverage for the most important device, OS, network, and interaction risks. ## Role - Act as a senior QA and mobile testing expert who understands device, OS, network, and interruption risks. ## Input - app scope, platform details, release notes, and user flows - target devices, OS versions, screen sizes, and network conditions - known crash areas, permission usage, and dependency details ## What to do 1. Understand the mobile context, user journeys, and release-critical changes. 2. Prioritize device, OS, and interaction risks that can block user success. 3. Produce a practical test plan or scenario list for execution. ## Execution Rules - Consider installation, upgrade, login, permissions, interruptions, background or foreground behavior, and network changes when relevant. - Keep the device matrix realistic instead of trying to test everything everywhere. - Separate platform-common checks from iOS- or Android-specific checks. ## Minimum Coverage Checklist Unless the user explicitly narrows the scope, make sure the result addresses these items: - scope - device and OS coverage - install or upgrade checks - core flows - permission handling - network and interruption behavior - push or deep link behavior if relevant - performance or battery concerns - priority by user impact - missing information and assumptions ## Output Return the result in this order: ### 1. Task Understanding ### 2. Recommended Device Matrix ### 3. High-Risk Mobile Checks ### 4. Core Scenario Coverage ### 5. Execution Order ### 6. Open Questions ## Quality Bar - Be practical about device coverage. - Do not skip interruption and environment risks. - Avoid generic mobile theory.
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references
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local
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testing-types-mobile-testing-examples-appium-android-README.md 604 B
# Local Example Reference This file keeps a short note for an example package or runnable sample connected to this skill. ## What It Is - A sample or example README reference. - Useful when you need an example structure, sample assets, or a runnable package to inspect. ## Prefer These Files - `SKILL.md` - `prompts/mobile-testing.md` - `references/` ## Notes - This file is now a short local reference instead of a full snapshot copy. - Use it only when you need extra background beyond the main prompt and `SKILL.md`. - If the current prompt conflicts with this file, follow the current prompt.
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scripts
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batch_convert_templates.py 2.7 KB
#!/usr/bin/env python3 import argparse import subprocess import sys from pathlib import Path def detect_from(file: Path) -> str: ext = file.suffix.lower() if file.name.endswith('.word.md'): return 'markdown' return { '.md': 'markdown', '.markdown': 'markdown', '.json': 'json', '.csv': 'csv', '.tsv': 'excel', '.docx': 'word', '.xlsx': 'excel', '.xmind': 'xmind', }.get(ext, 'markdown') def run_convert(convert_script: Path, src: Path, to_fmt: str, out: Path) -> int: cmd = [sys.executable, str(convert_script), str(src), '--from', detect_from(src), '--to', to_fmt, '--output', str(out)] return subprocess.call(cmd) def main() -> None: parser = argparse.ArgumentParser(description='Batch convert all template files into target formats.') parser.add_argument('--templates-dir', type=Path, default=Path('output-templates')) parser.add_argument('--artifacts-dir', type=Path, default=Path('artifacts')) parser.add_argument('--targets', default='word,excel,xmind,json,csv,markdown', help='comma-separated target formats') parser.add_argument('--skip-same', action='store_true', help='skip conversion when source format equals target format') args = parser.parse_args() cwd = Path.cwd() templates_dir = (cwd / args.templates_dir).resolve() artifacts_dir = (cwd / args.artifacts_dir).resolve() artifacts_dir.mkdir(parents=True, exist_ok=True) local_convert = (Path(__file__).resolve().parent / 'convert_formats.py').resolve() targets = [t.strip() for t in args.targets.split(',') if t.strip()] if not templates_dir.exists(): raise SystemExit(f'templates directory not found: {templates_dir}') files = [p for p in sorted(templates_dir.iterdir()) if p.is_file()] total = 0 failed = 0 for src in files: src_fmt = detect_from(src) for to_fmt in targets: if args.skip_same and src_fmt == to_fmt: continue out_ext = { 'json': '.json', 'csv': '.csv', 'excel': '.tsv', 'markdown': '.md', 'word': '.word.md', 'xmind': '.xmind.md', }[to_fmt] out = artifacts_dir / f"{src.stem}.to-{to_fmt}{out_ext}" total += 1 rc = run_convert(local_convert, src, to_fmt, out) if rc != 0: failed += 1 print(f'[FAILED] {src.name} -> {to_fmt}') else: print(f'[OK] {src.name} -> {out.name}') print(f'\nDone. total={total}, failed={failed}, artifacts={artifacts_dir}') if failed: raise SystemExit(1) if __name__ == '__main__': main() -
convert_formats.py 10.4 KB
#!/usr/bin/env python3 import argparse import csv import json import re import zipfile from pathlib import Path from typing import Any from xml.etree import ElementTree as ET # ---- parsing ---- def parse_markdown(path: Path) -> dict[str, Any]: text = path.read_text(encoding="utf-8", errors="ignore") lines = text.splitlines() headings: list[dict[str, Any]] = [] for line in lines: m = re.match(r"^(#{1,6})\s+(.*)$", line.strip()) if m: headings.append({"level": len(m.group(1)), "title": m.group(2).strip()}) return {"title": headings[0]["title"] if headings else path.stem, "headings": headings, "text": text} def parse_json(path: Path) -> dict[str, Any]: data = json.loads(path.read_text(encoding="utf-8", errors="ignore")) return {"title": path.stem, "data": data} def parse_csv_file(path: Path) -> dict[str, Any]: with path.open("r", encoding="utf-8", errors="ignore", newline="") as f: reader = csv.DictReader(f) rows = list(reader) return {"title": path.stem, "columns": reader.fieldnames or [], "rows": rows} def parse_docx(path: Path) -> dict[str, Any]: paragraphs: list[str] = [] with zipfile.ZipFile(path) as zf: with zf.open("word/document.xml") as f: root = ET.fromstring(f.read()) ns = {"w": "http://schemas.openxmlformats.org/wordprocessingml/2006/main"} for p in root.findall(".//w:p", ns): texts = [t.text for t in p.findall(".//w:t", ns) if t.text] s = "".join(texts).strip() if s: paragraphs.append(s) return {"title": path.stem, "paragraphs": paragraphs} def _shared_strings(zf: zipfile.ZipFile) -> list[str]: out: list[str] = [] try: with zf.open("xl/sharedStrings.xml") as f: root = ET.fromstring(f.read()) ns = {"a": "http://schemas.openxmlformats.org/spreadsheetml/2006/main"} for si in root.findall(".//a:si", ns): out.append("".join((t.text or "") for t in si.findall(".//a:t", ns))) except KeyError: pass return out def parse_xlsx(path: Path) -> dict[str, Any]: rows: list[list[str]] = [] with zipfile.ZipFile(path) as zf: shared = _shared_strings(zf) with zf.open("xl/worksheets/sheet1.xml") as f: root = ET.fromstring(f.read()) ns = {"a": "http://schemas.openxmlformats.org/spreadsheetml/2006/main"} for row in root.findall(".//a:sheetData/a:row", ns): vals = [] for c in row.findall("a:c", ns): t = c.attrib.get("t") v = c.find("a:v", ns) if v is None or v.text is None: vals.append("") elif t == "s": idx = int(v.text) vals.append(shared[idx] if 0 <= idx < len(shared) else "") else: vals.append(v.text) rows.append(vals) return {"title": path.stem, "rows": rows} def parse_xmind(path: Path) -> dict[str, Any]: with zipfile.ZipFile(path) as zf: names = set(zf.namelist()) topics: list[str] = [] if "content.json" in names: data = json.loads(zf.read("content.json").decode("utf-8", errors="ignore")) def walk(node: Any): if isinstance(node, dict): t = node.get("title") if isinstance(t, str) and t.strip(): topics.append(t.strip()) for k in ("children", "topics", "rootTopic", "attached"): walk(node.get(k)) elif isinstance(node, list): for i in node: walk(i) walk(data) elif "content.xml" in names: root = ET.fromstring(zf.read("content.xml")) topics = [e.text.strip() for e in root.findall(".//title") if e.text and e.text.strip()] else: raise ValueError("Unsupported XMind package structure") return {"title": topics[0] if topics else path.stem, "topics": topics} def detect_in_format(path: Path, forced: str | None) -> str: if forced and forced != "auto": return forced return { ".md": "markdown", ".markdown": "markdown", ".json": "json", ".csv": "csv", ".docx": "word", ".xlsx": "excel", ".xmind": "xmind", ".tsv": "excel", }.get(path.suffix.lower(), "markdown") def normalize(parsed: dict[str, Any]) -> dict[str, Any]: title = parsed.get("title") or "QA Output" sections: list[dict[str, Any]] = [] if "text" in parsed: sections.append({"name": "content", "items": [{"key": "text", "value": parsed["text"]}]}) if "headings" in parsed: sections.append({"name": "headings", "items": [{"key": "heading", "value": h.get("title", "")} for h in parsed["headings"]]}) if "data" in parsed: data = parsed["data"] if isinstance(data, dict): items = [{"key": k, "value": v} for k, v in list(data.items())[:100]] sections.append({"name": "json_object", "items": items}) elif isinstance(data, list): sections.append({"name": "json_array", "items": [{"key": "row", "value": v} for v in data[:200]]}) else: sections.append({"name": "json_value", "items": [{"key": "value", "value": data}]}) if "rows" in parsed: rows = parsed["rows"] sections.append({"name": "rows", "items": [{"key": f"row_{i+1}", "value": r} for i, r in enumerate(rows[:200])]}) if "columns" in parsed: sections.append({"name": "columns", "items": [{"key": "column", "value": c} for c in parsed["columns"]]}) if "paragraphs" in parsed: sections.append({"name": "paragraphs", "items": [{"key": f"p{i+1}", "value": p} for i, p in enumerate(parsed["paragraphs"][:200])]}) if "topics" in parsed: sections.append({"name": "topics", "items": [{"key": "topic", "value": t} for t in parsed["topics"][:300]]}) return {"title": title, "sections": sections} # ---- writers ---- def write_json(model: dict[str, Any], output: Path) -> None: output.write_text(json.dumps(model, ensure_ascii=False, indent=2), encoding="utf-8") def _scalar(v: Any) -> str: if isinstance(v, (dict, list)): return json.dumps(v, ensure_ascii=False) return str(v) def write_csv(model: dict[str, Any], output: Path) -> None: with output.open("w", encoding="utf-8", newline="") as f: writer = csv.writer(f) writer.writerow(["section", "key", "value"]) for s in model.get("sections", []): for item in s.get("items", []): writer.writerow([s.get("name", ""), item.get("key", ""), _scalar(item.get("value", ""))]) def write_excel_tsv(model: dict[str, Any], output: Path) -> None: lines = ["Section\tKey\tValue"] for s in model.get("sections", []): for item in s.get("items", []): lines.append(f"{s.get('name','')}\t{item.get('key','')}\t{_scalar(item.get('value','')).replace(chr(9), ' ')}") output.write_text("\n".join(lines) + "\n", encoding="utf-8") def write_markdown(model: dict[str, Any], output: Path) -> None: lines = [f"# {model.get('title', 'QA Output')}", ""] for s in model.get("sections", []): lines.append(f"## {s.get('name', 'section')}") for item in s.get("items", []): lines.append(f"- **{item.get('key','key')}**: {_scalar(item.get('value',''))}") lines.append("") output.write_text("\n".join(lines).rstrip() + "\n", encoding="utf-8") def write_word_md(model: dict[str, Any], output: Path) -> None: lines = [model.get("title", "QA Output"), "=" * len(model.get("title", "QA Output")), ""] idx = 1 for s in model.get("sections", []): lines.append(f"{idx}. {s.get('name', 'section').replace('_', ' ').title()}") for item in s.get("items", []): lines.append(f"- {item.get('key','key')}: {_scalar(item.get('value',''))}") lines.append("") idx += 1 output.write_text("\n".join(lines).rstrip() + "\n", encoding="utf-8") def write_xmind_md(model: dict[str, Any], output: Path) -> None: lines = [f"# {model.get('title', 'QA Output')}", "", f"- {model.get('title', 'QA Output')}"] for s in model.get("sections", []): lines.append(f" - {s.get('name', 'section')}") for item in s.get("items", []): lines.append(f" - {item.get('key','key')}: {_scalar(item.get('value',''))}") output.write_text("\n".join(lines).rstrip() + "\n", encoding="utf-8") def default_output(input_path: Path, to_fmt: str) -> Path: ext = { "json": ".json", "csv": ".csv", "excel": ".tsv", "markdown": ".md", "word": ".word.md", "xmind": ".xmind.md", }[to_fmt] return input_path.with_name(input_path.stem + ".converted" + ext) def main() -> None: parser = argparse.ArgumentParser(description="Convert QA output files between common formats") parser.add_argument("input", type=Path, help="Input file path") parser.add_argument("--from", dest="from_fmt", default="auto", choices=["auto", "word", "excel", "xmind", "json", "csv", "markdown"]) parser.add_argument("--to", required=True, choices=["word", "excel", "xmind", "json", "csv", "markdown"]) parser.add_argument("--output", type=Path, help="Output file path") args = parser.parse_args() in_fmt = detect_in_format(args.input, args.from_fmt) if in_fmt == "word": parsed = parse_docx(args.input) elif in_fmt == "excel": if args.input.suffix.lower() == ".tsv": rows = [line.rstrip("\n").split("\t") for line in args.input.read_text(encoding="utf-8", errors="ignore").splitlines() if line] parsed = {"title": args.input.stem, "rows": rows} else: parsed = parse_xlsx(args.input) elif in_fmt == "xmind": parsed = parse_xmind(args.input) elif in_fmt == "json": parsed = parse_json(args.input) elif in_fmt == "csv": parsed = parse_csv_file(args.input) else: parsed = parse_markdown(args.input) model = normalize(parsed) output = args.output or default_output(args.input, args.to) if args.to == "json": write_json(model, output) elif args.to == "csv": write_csv(model, output) elif args.to == "excel": write_excel_tsv(model, output) elif args.to == "markdown": write_markdown(model, output) elif args.to == "word": write_word_md(model, output) else: write_xmind_md(model, output) print(str(output)) if __name__ == "__main__": main() -
convert_output_formats.py 255 B
#!/usr/bin/env python3 import os import subprocess import sys LOCAL = os.path.normpath(os.path.join(os.path.dirname(__file__), 'convert_formats.py')) if __name__ == '__main__': raise SystemExit(subprocess.call([sys.executable, LOCAL] + sys.argv[1:])) -
convert_to_csv.py 270 B
#!/usr/bin/env python3 import os import subprocess import sys LOCAL = os.path.normpath(os.path.join(os.path.dirname(__file__), 'convert_formats.py')) if __name__ == '__main__': raise SystemExit(subprocess.call([sys.executable, LOCAL, '--to', 'csv'] + sys.argv[1:])) -
convert_to_excel.py 272 B
#!/usr/bin/env python3 import os import subprocess import sys LOCAL = os.path.normpath(os.path.join(os.path.dirname(__file__), 'convert_formats.py')) if __name__ == '__main__': raise SystemExit(subprocess.call([sys.executable, LOCAL, '--to', 'excel'] + sys.argv[1:])) -
convert_to_json.py 271 B
#!/usr/bin/env python3 import os import subprocess import sys LOCAL = os.path.normpath(os.path.join(os.path.dirname(__file__), 'convert_formats.py')) if __name__ == '__main__': raise SystemExit(subprocess.call([sys.executable, LOCAL, '--to', 'json'] + sys.argv[1:])) -
convert_to_markdown.py 275 B
#!/usr/bin/env python3 import os import subprocess import sys LOCAL = os.path.normpath(os.path.join(os.path.dirname(__file__), 'convert_formats.py')) if __name__ == '__main__': raise SystemExit(subprocess.call([sys.executable, LOCAL, '--to', 'markdown'] + sys.argv[1:])) -
convert_to_word.py 271 B
#!/usr/bin/env python3 import os import subprocess import sys LOCAL = os.path.normpath(os.path.join(os.path.dirname(__file__), 'convert_formats.py')) if __name__ == '__main__': raise SystemExit(subprocess.call([sys.executable, LOCAL, '--to', 'word'] + sys.argv[1:])) -
convert_to_xmind.py 272 B
#!/usr/bin/env python3 import os import subprocess import sys LOCAL = os.path.normpath(os.path.join(os.path.dirname(__file__), 'convert_formats.py')) if __name__ == '__main__': raise SystemExit(subprocess.call([sys.executable, LOCAL, '--to', 'xmind'] + sys.argv[1:])) -
parse_csv.py 272 B
#!/usr/bin/env python3 import os import subprocess import sys LOCAL = os.path.normpath(os.path.join(os.path.dirname(__file__), 'parse_formats.py')) if __name__ == '__main__': raise SystemExit(subprocess.call([sys.executable, LOCAL, '--format', 'csv'] + sys.argv[1:])) -
parse_excel.py 274 B
#!/usr/bin/env python3 import os import subprocess import sys LOCAL = os.path.normpath(os.path.join(os.path.dirname(__file__), 'parse_formats.py')) if __name__ == '__main__': raise SystemExit(subprocess.call([sys.executable, LOCAL, '--format', 'excel'] + sys.argv[1:])) -
parse_formats.py 5.9 KB
#!/usr/bin/env python3 import argparse import csv import json import re import zipfile from pathlib import Path from typing import Any from xml.etree import ElementTree as ET def parse_markdown(path: Path) -> dict[str, Any]: text = path.read_text(encoding="utf-8", errors="ignore") headings = [] for line in text.splitlines(): m = re.match(r"^(#{1,6})\s+(.*)$", line.strip()) if m: headings.append({"level": len(m.group(1)), "title": m.group(2).strip()}) return {"format": "markdown", "headings": headings, "preview": text[:500]} def parse_json(path: Path) -> dict[str, Any]: data = json.loads(path.read_text(encoding="utf-8", errors="ignore")) if isinstance(data, dict): shape = {"type": "object", "keys": list(data.keys())[:50]} elif isinstance(data, list): shape = {"type": "array", "size": len(data)} else: shape = {"type": type(data).__name__} return {"format": "json", "shape": shape, "data": data} def parse_csv_file(path: Path) -> dict[str, Any]: with path.open("r", encoding="utf-8", errors="ignore", newline="") as f: reader = csv.DictReader(f) rows = list(reader) return { "format": "csv", "columns": reader.fieldnames or [], "row_count": len(rows), "sample_rows": rows[:10], } def parse_docx(path: Path) -> dict[str, Any]: paragraphs = [] with zipfile.ZipFile(path) as zf: with zf.open("word/document.xml") as f: root = ET.fromstring(f.read()) ns = {"w": "http://schemas.openxmlformats.org/wordprocessingml/2006/main"} for p in root.findall(".//w:p", ns): texts = [t.text for t in p.findall(".//w:t", ns) if t.text] joined = "".join(texts).strip() if joined: paragraphs.append(joined) return {"format": "word", "paragraph_count": len(paragraphs), "paragraphs": paragraphs[:100]} def _read_shared_strings(zf: zipfile.ZipFile) -> list[str]: strings = [] try: with zf.open("xl/sharedStrings.xml") as f: root = ET.fromstring(f.read()) ns = {"a": "http://schemas.openxmlformats.org/spreadsheetml/2006/main"} for si in root.findall(".//a:si", ns): parts = [t.text or "" for t in si.findall(".//a:t", ns)] strings.append("".join(parts)) except KeyError: pass return strings def parse_xlsx(path: Path) -> dict[str, Any]: rows_out: list[list[str]] = [] with zipfile.ZipFile(path) as zf: shared = _read_shared_strings(zf) with zf.open("xl/worksheets/sheet1.xml") as f: root = ET.fromstring(f.read()) ns = {"a": "http://schemas.openxmlformats.org/spreadsheetml/2006/main"} for row in root.findall(".//a:sheetData/a:row", ns): vals = [] for c in row.findall("a:c", ns): cell_type = c.attrib.get("t") v = c.find("a:v", ns) if v is None or v.text is None: vals.append("") continue if cell_type == "s": idx = int(v.text) vals.append(shared[idx] if 0 <= idx < len(shared) else "") else: vals.append(v.text) rows_out.append(vals) return {"format": "excel", "row_count": len(rows_out), "sample_rows": rows_out[:20]} def parse_xmind(path: Path) -> dict[str, Any]: with zipfile.ZipFile(path) as zf: names = set(zf.namelist()) if "content.json" in names: data = json.loads(zf.read("content.json").decode("utf-8", errors="ignore")) titles: list[str] = [] def walk(node: Any): if isinstance(node, dict): title = node.get("title") if isinstance(title, str) and title.strip(): titles.append(title.strip()) for k in ("children", "topics", "rootTopic", "attached"): walk(node.get(k)) elif isinstance(node, list): for i in node: walk(i) walk(data) return {"format": "xmind", "topic_count": len(titles), "topics": titles[:200]} if "content.xml" in names: root = ET.fromstring(zf.read("content.xml")) titles = [el.text.strip() for el in root.findall(".//title") if el.text and el.text.strip()] return {"format": "xmind", "topic_count": len(titles), "topics": titles[:200]} raise ValueError("Unsupported XMind package structure") def detect_format(path: Path, forced: str | None) -> str: if forced and forced != "auto": return forced ext = path.suffix.lower() return { ".md": "markdown", ".markdown": "markdown", ".json": "json", ".csv": "csv", ".docx": "word", ".xlsx": "excel", ".xmind": "xmind", }.get(ext, "markdown") def main() -> None: parser = argparse.ArgumentParser(description="Parse common QA output formats into normalized JSON") parser.add_argument("input", type=Path, help="Input file path") parser.add_argument("--format", default="auto", choices=["auto", "word", "excel", "xmind", "json", "csv", "markdown"]) parser.add_argument("--output", type=Path, help="Output JSON path (default: stdout)") args = parser.parse_args() fmt = detect_format(args.input, args.format) if fmt == "word": result = parse_docx(args.input) elif fmt == "excel": result = parse_xlsx(args.input) elif fmt == "xmind": result = parse_xmind(args.input) elif fmt == "json": result = parse_json(args.input) elif fmt == "csv": result = parse_csv_file(args.input) else: result = parse_markdown(args.input) result["source"] = str(args.input) out = json.dumps(result, ensure_ascii=False, indent=2) if args.output: args.output.write_text(out, encoding="utf-8") else: print(out) if __name__ == "__main__": main() -
parse_json.py 273 B
#!/usr/bin/env python3 import os import subprocess import sys LOCAL = os.path.normpath(os.path.join(os.path.dirname(__file__), 'parse_formats.py')) if __name__ == '__main__': raise SystemExit(subprocess.call([sys.executable, LOCAL, '--format', 'json'] + sys.argv[1:])) -
parse_markdown.py 277 B
#!/usr/bin/env python3 import os import subprocess import sys LOCAL = os.path.normpath(os.path.join(os.path.dirname(__file__), 'parse_formats.py')) if __name__ == '__main__': raise SystemExit(subprocess.call([sys.executable, LOCAL, '--format', 'markdown'] + sys.argv[1:])) -
parse_output_formats.py 253 B
#!/usr/bin/env python3 import os import subprocess import sys LOCAL = os.path.normpath(os.path.join(os.path.dirname(__file__), 'parse_formats.py')) if __name__ == '__main__': raise SystemExit(subprocess.call([sys.executable, LOCAL] + sys.argv[1:])) -
parse_word.py 273 B
#!/usr/bin/env python3 import os import subprocess import sys LOCAL = os.path.normpath(os.path.join(os.path.dirname(__file__), 'parse_formats.py')) if __name__ == '__main__': raise SystemExit(subprocess.call([sys.executable, LOCAL, '--format', 'word'] + sys.argv[1:])) -
parse_xmind.py 274 B
#!/usr/bin/env python3 import os import subprocess import sys LOCAL = os.path.normpath(os.path.join(os.path.dirname(__file__), 'parse_formats.py')) if __name__ == '__main__': raise SystemExit(subprocess.call([sys.executable, LOCAL, '--format', 'xmind'] + sys.argv[1:]))
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output-formats.md 401 B
# Output Format Options This skill **defaults to Markdown**. To get **Excel**, **CSV**, or **JSON**, add at the **end** of your request: - **Excel:** "Please output as tab-separated table for pasting into Excel." - **CSV:** "Please output as CSV (comma-separated, header row first)." - **JSON:** "Please output as JSON." See repo `skills/testing-types/_output-formats-template-en.md` for examples. -
quick-start.md 2.2 KB
# Mobile Testing: Quick Start Use the `mobile-testing` Skill to cover mobile behavior across devices, operating systems, networks, permissions, and lifecycle events. ## 1. Prepare the Minimum Context Provide what is available from this list: - supported devices - OS versions - app build - backend - permissions - network profile - scope, version, environment, time budget, and prohibited actions - known failures, existing tests, and evidence links If some information is unavailable, say so explicitly. The Skill should still return a bounded first pass with assumptions and open questions. ## 2. Invoke the Skill ```text @skill mobile-testing Scenario: Validate login and payment across Android versions with network switching and app resume. Prioritize the highest risks, distinguish facts from assumptions, and provide an executable result with evidence requirements and open questions. ``` ## 3. Follow the Execution Flow 1. Confirm the objective, subject, scope, and success criteria. 2. Audit the completeness and credibility of the supplied material. 3. Identify failure modes and rank them by impact, likelihood, and detectability. 4. Produce concrete scenarios, checks, or decisions with expected results. 5. Record evidence gaps, residual risk, and the smallest useful next action. ## 4. Minimum Coverage Unless the request narrows scope, cover: - installation - navigation - interruptions - backgrounding - permissions - connectivity - battery - accessibility - confirmed facts, working assumptions, and open questions - P0/P1 priorities and the rationale for lower-priority deferral - blockers, stop conditions, and residual risk ## 5. Review the Result - Every high-risk item has a concrete failure mode and expected behavior. - Priorities are justified rather than evenly distributed. - No field, API, metric, environment, or execution result is invented. - The artifact can be executed or reviewed without guessing the next step. - Production, security, and privacy work uses least privilege and sanitized data. ## 6. Continue Add missing evidence and ask the Skill to refine the same artifact. Keep confirmed facts separate from newly introduced assumptions so changes remain reviewable. -
README.md 800 B
# Mobile Testing ## Skill Overview Need help with mobile testing in a real project context; Need an output that can be used directly for execution, review, or follow-up. ## How to Use 1. Open `SKILL.md` in this folder and confirm this skill fits your task. 2. In your AI tool, call `@skill mobile-testing`, then add your real project context and goal. 3. If you need a specific output format (table, checklist, report), include it directly in your request. ## One-Click Install Script Run from the repository root: ### macOS / Linux ```bash bash ./scripts/install-skills-mac.sh --tool codex --lang en --skill mobile-testing ``` ### Windows PowerShell ```powershell powershell -ExecutionPolicy Bypass -File .\scripts\install-skills-windows.ps1 -Tool codex -Lang en -Skill mobile-testing ``` -
SKILL.md 2.5 KB
--- name: mobile-testing description: Use this skill when you need to design mobile test plans for iOS or Android covering functionality, compatibility, performance, network, and security; triggers include mobile testing and app testing. --- # Mobile Testing (English) **Chinese version:** See the corresponding Chinese skill. ## When to Use - Need help with mobile testing in a real project context. - Need an output that can be used directly for execution, review, or follow-up. ## Workflow 1. Read and follow the main prompt listed under Progressive disclosure (coverage, structure, quality bar). 2. Add only project context that changes the result: scope, environment, constraints, risks, dependencies, expected deliverable. 3. If input is incomplete, return a usable first draft and explicitly mark assumptions and gaps. 4. Default to Markdown; switch formats only when the user asks. ## Core Constraints - Prioritize by risk / business impact — do not treat everything equally. - Separate confirmed facts from current assumptions. - Do not invent endpoints, fields, environments, or root causes the user did not provide. - Keep output executable: concrete scenarios, clear priority, clear next steps. ## Progressive Disclosure - Before producing output, read and follow `prompts/mobile-testing.md` (minimum coverage, output structure, quality bar). - When Excel/CSV/JSON/Word is requested: read `output-formats.md` and honor the format. - When a ready-made template fits: use matching files under `output-templates/`. - For deep framework/troubleshoot/schema notes: read only the relevant file(s) under `references/`, do not load the whole directory. - For format conversion or helper checks: prefer existing `scripts/` over reinventing. - For evaluating/regressing this skill: use `evals/` with skill-up. ## Pre-delivery Checklist - [ ] Followed the main prompt's output structure - [ ] Minimum coverage focus: scope, device and OS coverage, install or upgrade checks, core flows, permission handling, network and interruption behavior, push or deep link behavior if relevant, performance or battery concerns, ... (details in main prompt) - [ ] Covered the minimum checklist, or explained omissions - [ ] High-risk items have explicit priority - [ ] Did not invent details the user did not provide - [ ] Assumptions and gaps are marked ## Common Pitfalls - Do not pretend completeness when scope/context is missing. - Do not treat every item as equally important. - Do not skip assumptions and information gaps. - Do not dump generic theory unrelated to the current toolchain. -
tutorial.md 4.1 KB
# Mobile Testing: Practical Tutorial This tutorial shows how to cover mobile behavior across devices, operating systems, networks, permissions, and lifecycle events with a repeatable, evidence-driven workflow. ## Learning Objectives By the end, you should be able to: - frame a bounded testing objective; - identify the evidence needed before making decisions; - turn domain risk into executable scenarios and assertions; - choose priorities without treating every check as equally important; - report residual risk without inventing certainty. ## Scenario Validate login and payment across Android versions with network switching and app resume. Use the scenario as a starting point. Replace it with real project material whenever possible. ## Step 1: Establish the Input Contract Collect: - supported devices - OS versions - app build - backend - permissions - network profile - the exact build, version, environment, and test window - authorized accounts, sanitized data, and allowed side effects - existing tests, defects, monitoring, and rollback constraints Create three lists before analysis: 1. **Confirmed facts** — directly supported by supplied material. 2. **Working assumptions** — necessary for a first pass but not yet proven. 3. **Open questions** — missing information that changes scope or risk. ## Step 2: Build the Risk Model For each capability or user journey, record: | Field | Meaning | | --- | --- | | Failure mode | What can go wrong | | Impact | User, business, security, or operational consequence | | Likelihood | Why the failure is plausible | | Detectability | Whether existing checks or telemetry reveal it | | Priority | P0, P1, P2, or P3 with rationale | | Evidence | What would confirm correct or incorrect behavior | Start with irreversible data loss, security exposure, financial impact, critical journey failure, and release blockers. ## Step 3: Design Coverage Minimum domain coverage: - installation - navigation - interruptions - backgrounding - permissions - connectivity - battery - accessibility For each important scenario, specify: ```text Preconditions: Test data: Action or stimulus: Expected behavior: Evidence to capture: Cleanup or rollback: ``` Avoid generic statements such as “test positive and negative cases” unless the concrete cases are listed. ## Step 4: Execute Safely - Use the lowest environment and privilege level that can answer the question. - Prefer mocks, sandboxes, dry runs, and synthetic or masked data. - Do not run destructive production actions without explicit authorization. - Record timestamps, versions, configuration, and identifiers needed for reproduction. - Stop when a predefined safety, data-integrity, or customer-impact condition is met. ## Step 5: Interpret Evidence Separate observation from explanation: ```text Observation: what the system or test actually showed Hypothesis: a possible explanation Counter-evidence: facts that weaken the hypothesis Verification: the smallest experiment that can distinguish alternatives Conclusion: only what the available evidence supports ``` One failure message, high resource value, or correlated metric is not automatically a root cause. ## Step 6: Report the Result Use this order: 1. Task understanding and scope 2. Input audit 3. Risks and priorities 4. Executed or proposed coverage 5. Results and evidence 6. Blockers and residual risk 7. Next actions and owners ## Reusable Request ```text @skill mobile-testing Analyze this real project context using the Skill's complete prompt contract. Separate confirmed facts, working assumptions, and open questions. Prioritize P0/P1 risks, provide executable scenarios with expected results and evidence, and state stop conditions and residual risk. ``` ## Completion Checklist - [ ] The objective and success criteria are explicit. - [ ] The environment, version, and data boundary are recorded. - [ ] High-risk paths have concrete scenarios and expected results. - [ ] Evidence supports conclusions. - [ ] Missing information and assumptions remain visible. - [ ] Cleanup, rollback, or human-handoff conditions are defined. - [ ] The next action is small, owned, and verifiable.
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