用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/jleechanorg/claude-commands --skill dogfood命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
Token-efficient second opinion slash command /advice. Extracts decision point + artifact (≤150 lines), then fans out in parallel: (1) Opus subagent reviewer with fallback chain codex→agy→cursor, (2) /research on the decision topic, (3) /secondo multi-model opinion. Use instead of advisor() which ships the full conversation uncached.
Use this skill when working in repositories managed by Agent Orchestrator or when the user asks how to use `ao` properly. Covers the default AO workflow: bootstrap with `ao start`, dispatch work with `ao spawn`, inspect progress with `ao status` or `ao session ls`, steer sessions with `ao send`, and recover or clean up sessions safely. Includes strict parameter fidelity, pre-spawn cap cleanup, quota-wall fallback, and post-spawn verification.
Generate a full agento PR status report — draft readiness, canonical /green, zero-touch rate, inline display, and Slack summary.
基于 SOC 职业分类
正在显示 SKILL.md
| name | dogfood |
| description | Exploratory QA of web apps: find bugs, evidence, reports. |
| version | 1.0.0 |
| platforms | ["linux","macos","windows"] |
| metadata | {"hermes":{"tags":["qa","testing","browser","web","dogfood"],"related_skills":[]}} |
This skill guides you through systematic exploratory QA testing of web applications using the browser toolset. You will navigate the application, interact with elements, capture evidence of issues, and produce a structured bug report.
browser_navigate, browser_snapshot, browser_click, browser_type, browser_vision, browser_console, browser_scroll, browser_back, browser_press)The user provides:
./dogfood-output)Follow this 5-phase systematic workflow:
{output_dir}/
├── screenshots/ # Evidence screenshots
└── report.md # Final report (generated in Phase 5)
For each page or feature in your plan:
Navigate to the page:
browser_navigate(url="https://example.com/page")
Take a snapshot to understand the DOM structure:
browser_snapshot()
Check the console for JavaScript errors:
browser_console(clear=true)
Do this after every navigation and after every significant interaction. Silent JS errors are high-value findings.
Take an annotated screenshot to visually assess the page and identify interactive elements:
browser_vision(question="Describe the page layout, identify any visual issues, broken elements, or accessibility concerns", annotate=true)
The annotate=true flag overlays numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands.
Test interactive elements systematically:
browser_click(ref="@eN")browser_type(ref="@eN", text="test input")browser_press(key="Tab"), browser_press(key="Enter")browser_scroll(direction="down")After each interaction, check for:
browser_console()browser_vision(question="What changed after the interaction?")For every issue found:
Take a screenshot showing the issue:
browser_vision(question="Capture and describe the issue visible on this page", annotate=false)
Save the screenshot_path from the response — you will reference it in the report.
Record the details:
Classify the issue using the issue taxonomy (see references/issue-taxonomy.md):
Generate the final report using the template at templates/dogfood-report-template.md.
The report must include:
MEDIA:<screenshot_path> for inline images)Save the report to {output_dir}/report.md.
| Tool | Purpose |
|---|---|
browser_navigate | Go to a URL |
browser_snapshot | Get DOM text snapshot (accessibility tree) |
browser_click | Click an element by ref (@eN) or text |
browser_type | Type into an input field |
browser_scroll | Scroll up/down on the page |
browser_back | Go back in browser history |
browser_press | Press a keyboard key |
browser_vision | Screenshot + AI analysis; use annotate=true for element labels |
browser_console | Get JS console output and errors |
browser_navigate times out twice, switch to playwright screenshot CLI. The browser tool can hang on complex pages. Fall back to:
playwright screenshot --viewport-size "1280,720" --wait-for-timeout 2000 "$URL" "/tmp/dogfood-$(date +%s).png"
You can still share screenshots as MEDIA:/path even without browser tool interaction. See skill: web-page-screenshots.browser_console() after navigating and after significant interactions. Silent JS errors are among the most valuable findings.annotate=true with browser_vision when you need to reason about interactive element positions or when the snapshot refs are unclear.MEDIA:<screenshot_path> so they can see the evidence inline.