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Agent Skill · 研究检索

proofrun(proofrun 搜索)

proofrun 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

proofrun 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 62,606。

总安装 329周安装 14GitHub Stars 10下载 115核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:proofrun(proofrun 搜索)
来源仓库:https://github.com/rokabytedev/proofrun
仓库路径:skills/proofrun
安装命令:
npx skills add https://github.com/rokabytedev/proofrun --skill proofrun
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/rokabytedev/proofrun --skill proofrun

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找和检索运行验证、测试执行或结果校验相关信息。适合在 CI/CD 流程、自动化测试或性能基准中使用。使用时需确认运行环境配置和依赖项版本。proofrun 属于研究检索类 Skill,可作为该场景下的辅助能力补充。建议结合原始仓库文档了解输入输出格式和失败处理机制。涉及生产环境运行时应先在小范围验证稳定性。

来源仓库内路径:skills/proofrun

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/rokabytedev/proofrun --skill proofrun;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

proofrun 怎么安装?

在终端执行 npx skills add https://github.com/rokabytedev/proofrun --skill proofrun。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

proofrun 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

proofrun 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

proofrun 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

proofrun 用的人多吗?

公开数据是累计安装 329 次,近一周安装 14 次,下载 115 次,GitHub 10 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

proofrun 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
proofrun

proofrun 搜索 · 本页

32910操作浏览器未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Proofrun — Mobile App Verification

You are an AI agent producing provable verification evidence for mobile app behavior. You interact with a running app in a simulator or emulator, capture auditable evidence (steps, screenshots, judgments), and generate an interactive HTML report for human review.

The report is your proof of work — without it, you're just claiming you verified something.

When to Trigger

Use proofrun when:

  • You have completed implementing a change with verifiable acceptance criteria, OR
  • The user asks you to verify something about the app (e.g., "check all screens for missing translations", "verify the onboarding flow works end-to-end")
  • AND the app runs in a simulator or emulator

Getting Started

  1. Ensure proofrun is available: npx proofrun --help
  2. Check project readiness: npx proofrun info
  3. Fix any issues reported — the output tells you how.
  4. Read relevant knowledge: npx proofrun knowledge <topic> Fill in any <!-- Agent:... --> placeholder sections before proceeding. Do NOT put change-specific data in knowledge files — they persist across verifications.

Workflow

1. Orient

npx proofrun info

Read the output:

  • Knowledge topics listed? Read the relevant ones before proceeding.
  • Active session? Stop it first if you didn't start it.
  • Diagnostics all pass? Fix any failures before continuing.

Read relevant knowledge files. Only load topics relevant to your task.

First-time setup: If knowledge files contain <!-- Agent: placeholders, you MUST fill them in before proceeding. Explore the project, find the answers, and update the files.

2. Identify What to Verify

If verifying a change: Find the change artifacts (PR description, task file, spec). Extract all acceptance criteria — do not cherry-pick. Assign descriptive names:

settings-translated     → All Settings screen labels show correct translations
library-search-works    → Library search returns results and is navigable
onboarding-flow-e2e     → Onboarding screens display correctly and can be navigated to completion

Classify each as agent-verifiable or human-required. Read knowledge/boundaries if available.

If given a free-form query: Break it into discrete, verifiable criteria.

3. Set Up Environment

Follow knowledge/environment and knowledge/devices for platform-specific instructions.

Device Management

STOP. Read knowledge/devices for the device management policy. If no policy is recorded yet, you MUST use the AskUserQuestion tool before using any device — even in autonomous/autopilot mode. This is a human preference that cannot be assumed. Ask with these options:

  1. (Recommended) Dedicated pool — Create simulators/emulators specifically for proofrun. No risk of conflicts.
  2. Use available — Pick whatever device is available each time. Risk of conflicts with other agents or human work.

Record the choice in knowledge/devices.

After the policy is established:

  1. Check device availability before using any device: npx proofrun device status

- If a device is free — proceed to use it. - If a device is stale (PID dead or session stopped) — use --force-unlock to take over. - If a device is actively locked — do NOT take it. Use the AskUserQuestion tool to get approval before proceeding. - Never use a device without locking it via proofrun session start.

  1. If dedicated pool policy and no devices exist, create a pool. See knowledge/devices for platform-specific creation commands.

- iOS: Check the latest runtime (xcrun simctl list runtimes), create ~3 simulators with form factor variety: - Large phone, latest gen (e.g., "(Proofrun-only) iPhone 17 Pro Max") - Small phone, prior gen (e.g., "(Proofrun-only) iPhone 16") - Tablet (e.g., "(Proofrun-only) iPad Air 11") - Android: Download a system image via sdkmanager, create ~3 AVDs via avdmanager with form factor variety: - Large phone (e.g., "(Proofrun-only) Pixel 9 Pro") - Small phone (e.g., "(Proofrun-only) Pixel 8a") - Tablet (e.g., "(Proofrun-only) Pixel Tablet") - Use arm64-v8a on Apple Silicon, x86_64 on Intel - Web: No device pool needed — browser sessions are ephemeral. Use a logical identifier (e.g., chromium-mobile) for session locking. - Record the created devices in knowledge/devices

Build & Dev Server
  1. Build and install the app with your latest changes (not a cached build)
  2. Check for port conflicts before starting a dev server — another agent or process may be using the default port. Use an alternative port if needed.
  3. Verify the dev server is running and connected (if applicable)
  4. Confirm the device is in a clean state

4. Verify Environment (Checkpoint)

Before starting a session, confirm:

  • Is this the correct device (right type, OS version)?
  • Is it a fresh build (not cached/stale)?
  • If using a dev server: is it running and the app connected?
  • Can you interact with the app (tap a button, see a screen)?

If any of these fail, fix them before starting the session.

5. Start Session

npx proofrun session start --change <name> --device <identifier>

Use a descriptive slug for --change:

  • "check Chinese translations" → --change "chinese-locale-audit"
  • "verify the onboarding flow" → --change "onboarding-flow-e2e"

If another session is active, stop it first with npx proofrun session stop.

6. Record Prerequisites

After starting a session, record environment prerequisites before any verification:

npx proofrun prerequisite "App rebuilt at <timestamp>" --check "<build verify command>"
npx proofrun prerequisite "Dev server running" --check "curl -s http://localhost:8081/status"
npx proofrun prerequisite "Device: iPhone 17 Pro Max, iOS 26.2"

These are mandatory. Do not record verification evidence until prerequisites are captured.

7. Create Verification Plan

Before recording any evidence, create a structured verification plan that maps every acceptance criterion to concrete test cases.

For each acceptance criterion from the spec, task file, or PR:

npx proofrun plan add --criterion <name> --spec "<acceptance criterion text>" \
  --cases "Test case 1" --cases "Test case 2"

Test case design: For each criterion, think about:

  • Representative samples: If a feature applies to N items (e.g., 15 sounds, 10 screens), test items from different categories — don't just test the first one.
  • All entry points: If a feature is reachable from multiple places (e.g., library, search, practice page), each entry point is a separate test case.
  • Edge cases: Single-item vs many-item, empty state, boundary conditions.

Review the plan before proceeding:

npx proofrun plan list

If you are carrying criteria from a prior run:

npx proofrun plan add --criterion <name> --spec "<text>" --carried

You MUST complete the plan before recording evidence. The plan is your contract — it declares what you will verify and how thoroughly. Do not skip this step.

8. Verify Each Criterion (Explore-Then-Document)

For each agent-verifiable criterion in the plan:

Explore phase (not recorded):

  • Use the interaction tool freely
  • Navigate to the relevant screen
  • Try different paths, find elements, verify behavior

Document phase (recorded via proofrun):

  • Once you've confirmed the verification path, record the clean steps:
npx proofrun step "Navigate to Settings tab" --criterion settings-translated
npx proofrun screenshot /tmp/screen.jpeg --criterion settings-translated --note "Settings screen with all labels visible"
npx proofrun judge --criterion settings-translated --pass "All 12 labels use Chinese text, no English fallback visible"

Every judgment MUST be preceded by at least one screenshot showing the state being judged. Do not judge a criterion without capturing visual evidence first. A judgment without a screenshot is a claim without proof — the CLI will warn you if you try.

If a criterion fails:

  1. Record the failure: npx proofrun judge --criterion <name> --fail "<reasoning>"
  2. Fix the code (if verifying your own implementation)
  3. Record the fix: npx proofrun fix --criterion <name> --description "<what you fixed>"
  4. Re-verify and record new judgment

For human-required criteria:

npx proofrun judge --criterion audio-playback-quality --human "Cannot verify audio output quality — requires human listener"

9. Check Progress

npx proofrun plan check
npx proofrun evidence

plan check shows which planned criteria still need verification. evidence shows the full evidence summary. Address all gaps before stopping the session.

10. Stop Session

npx proofrun session stop

Stop the session before generating the report. This releases the device lock immediately — don't hold the device hostage during report generation and human review, which can take a long time.

The CLI will warn you about:

  • Unfilled knowledge placeholders — fill them now while context is fresh
  • Unverified planned criteria — address gaps or justify skipping

11. Generate Report

npx proofrun report --change <name>

This generates a multi-run report that aggregates all sessions for the change. If multiple runs exist, the report shows tabs for each run with carried/re-verified/new badges on criteria.

12. Serve Report for Live Feedback

Start the feedback server so the reviewer can submit feedback directly from the browser. Run this as a background task so you get notified when feedback arrives:

Run npx proofrun serve --change <name> as a background task (use your tool's background execution capability — do NOT run it in the foreground or you won't be able to continue working).

Once the server starts, tell the user:

Your verification report is ready for review at http://localhost:PORT Please review each criterion — approve or reject with comments. Click Submit Feedback when done, or LGTM to approve everything. I'll be notified automatically when you submit and will address any feedback.

Then wait for the background task to complete. When it does, read the feedback from the latest session's feedback.json.

To stop a running server manually: npx proofrun serve --stop

13. Handle Feedback

When the background serve task completes (feedback received):

  1. Read feedback.json from the latest session directory
  2. Read the top_level_comment field. If the reviewer requests additional criteria, broader coverage, or specific entry points to test — you MUST address these in the follow-up run. Top-level comments are high-priority guidance, not suggestions.
  3. Check the result:

- LGTM: All criteria approved. Check proofrun device status for the device you used. If it is free, shut it down to free system RAM. If it is locked by another session, leave it alone — the other agent will clean up when done. Done! - Rejections: For each rejected criterion, understand the comment and fix the issue. Then proceed to Follow-Up Runs.

14. Follow-Up Runs

When addressing feedback from rejected criteria:

  1. Fix the code
  2. Re-acquire a device (it was released at session stop). Check proofrun device status first.
  3. Start a new session with the SAME --change name and a --reason: npx proofrun session start --change <same-name> --device <id> --reason "fix <what-changed>"
  4. Create a new verification plan. Carry forward approved criteria that your changes cannot affect: npx proofrun plan add --criterion <name> --spec "<text>" --carried npx proofrun carry --criterion <name> --reason "No code changes affect this" This creates an audit trail linking to the prior run's judgment. The carried criterion inherits its prior approval in the multi-run report.
  5. Add new criteria requested in the reviewer's top_level_comment to the plan.
  6. Re-verify criteria that your changes could affect — record fresh evidence and judgments.
  7. Stop the session, generate the report, and serve again for feedback.

The multi-run report shows:

  • Carried criteria with gray badge and carry reason (auto-approved if prior run was approved)
  • Re-verified criteria with blue badge (needs new review)
  • New criteria with purple badge (needs review)

Decision: carry vs re-verify: Carry only when your code changes absolutely cannot affect the criterion. When in doubt, re-verify. Carrying is faster but re-verifying is safer. Default to re-verifying everything unless you are certain.

Principles

  • CLI is dumb, you are smart: The CLI manages locks, records evidence, and generates reports. YOU decide what to verify, how to navigate, and what passes/fails.
  • Verify completely: Create a verification plan that covers ALL spec criteria. Don't cherry-pick easy criteria or skip entry points. If the spec has 10 acceptance criteria, your plan has 10 criteria. The plan is your contract.
  • Record clean paths: Don't record your exploration — only the final verification path that proves the criterion.
  • Screenshots are proof: Every judgment needs at least one screenshot. No exceptions.
  • One criterion at a time: Verify, record evidence, judge. Then move to the next.
  • Keep criteria specific: Each should be discrete and verifiable — "settings-screen-translated" not "app works in Chinese."
  • Human-in-the-loop: If stuck after 2 attempts, use the AskUserQuestion tool to get guidance. Don't spiral.
  • Re-verify by default: On follow-up runs, re-verify all criteria unless your code changes absolutely cannot affect them. When in doubt, re-verify.
  • Be a good citizen: Never use a device without locking it. Don't take over active locks without human approval. Check device lock status before shutting down — only shut down free devices.
  • Run npx proofrun --help for complete command reference.

Knowledge Management

Knowledge files at .proofrun/knowledge/ are working notes, not specifications. They capture patterns and tips discovered during previous verifications.

What to update (and where)

DiscoveryTarget File
Build commands, dev server setupenvironment.md
Element identifiers, testID conventionsinteraction.md
Navigation patterns, interaction quirksinteraction.md
New devices added to pool, device policydevices.md
Verification boundary discoveredboundaries.md

What NOT to put in knowledge files

  • Current screen state or test observations (session-specific)
  • Criteria names, judgments, or verification results (belong in session evidence)
  • Temporary workarounds for this verification run
  • Anything that will be different in the next session

General guidelines

  • Treat knowledge files as hints — verify against the actual app, not the knowledge file
  • If you find something contradicts a knowledge file, update the file
  • Update immediately when you discover something durable, not at the end of the session
  • Create new topic files for distinct knowledge areas
  • The CLI warns about unfilled placeholders at session stop — fill them while context is fresh

平台分布

Codex

36.97%
按下载量换算43

Claude

32.27%
按下载量换算37

Cursor

17.61%
按下载量换算20

Gemini CLI

9.04%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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