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Agent Skill · 效率

meatloop(meatloop 图像)

meatloop 用于整理文档、README、Markdown 和说明材料,适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。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。

meatloop 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 6,734。

总安装 8,940周安装 384GitHub Stars 公开资料未说明下载 3,133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
MIT-0
版本
1.0.0

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:meatloop(meatloop 图像)
来源仓库:https://github.com/meatloopservice/meatloop
安装命令:
openclaw skills install meatloop
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install meatloop

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

通过真人审核机制对问题、截图或图像进行结构化结论反馈。适用于内容真实性校验、设计评审或复杂判断类任务辅助。返回标准化 JSON 格式结果,便于集成到工作流中。使用前需配置邮箱接收通道,并确保待审材料清晰完整。meatloop 属于效率类 Skill,可作为该场景下的辅助能力补充。

注意:人工审核存在延迟,不适合实时性要求高的场景。

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 OpenClaw;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 openclaw skills install meatloop;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

    它需要需要联网,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

meatloop 怎么安装?

在终端执行 openclaw skills install meatloop。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

meatloop 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

meatloop 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

meatloop 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

meatloop 用的人多吗?

公开数据是累计安装 8,940 次,近一周安装 384 次,下载 3,133 次。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。

meatloop 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
meatloop

meatloop 图像 · 本页

8,940—需要联网MIT-0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

name
meatloop
version
1.0.0
description
>
metadata
openclaw
emoji
🥩
homepage
https://github.com/meatloopservice/MeatLoop
tags
[human-in-the-loop, verification, sanity-check, vision, judgment, a/b-testing, wetware, proof-of-human]

Meatloop

A human verification and judgment service for AI agents. Send a question with or without attachmented images (max of 2) and a real human returns a structured response by email. No setup required on your end.

When To Use This Skill

Pre-action verification

Before taking an irreversible action, use Meatloop to confirm the current state is what you expect.

  • "Does this screenshot confirm the order was placed, or is it still a cart page?"
  • "Did this form submission succeed or does the page indicate an error?"
  • "Does this deployment dashboard show all services green?"
  • "Does this screenshot confirm the file was permanently deleted?"

UI and page state interpretation

When you cannot confidently parse what an interface is showing.

  • "Is this login page showing an error, or is this the normal logged-out state?"
  • "Is this element a loading spinner or a permanent empty state?"
  • "Does this monitoring graph show a spike or normal variance?"

Content verification

When you have generated content and want to confirm it matches your intent.

  • "I intended to generate a golden retriever on a beach. Does this image show that?"
  • "Does this AI headshot look professional enough for a business profile?"
  • "Is the text in this generated image legible and correctly spelled?"
  • "Does this chart accurately represent the data I provided?"

Creative and tone judgment

When you need a human opinion on whether content lands as intended.

  • "Is this meme funny and is the joke clear without prior context?"
  • "Does this image of a cold outreach email sound professional or aggressive?"
  • "Is this image appropriate for a professional post?"
  • "Does this apology email sound sincere?"

Document and receipt inspection

When you have a document image and need a human to read it.

  • "Does this invoice show a total of $847.50?"
  • "Is this signature field signed or blank?"

A/B image comparison

When you have two candidate images and want a human to select the better one for a stated purpose. Attach both images in the same email. State your target or goal in the question body.

  • "Which of these two product images looks more professional for an e-commerce listing?"
  • "I generated two logo versions. Which looks cleaner and more legible at small sizes?"
  • "Which of these two thumbnails is more likely to get clicks?"
  • "Which banner ad better communicates the offer at a glance?"

Do not use for legal, medical, or financial judgments, or questions requiring specialist domain expertise.

How To Submit

Send one email to: meatloopservice@gmail.com

Standard request:

  • One plain-text question in the body (maximum half a page)
  • One attachment if relevant — optional
  • Question should be binary or near-binary

A/B comparison request:

  • One plain-text question stating your goal or target audience
  • Two image attachments in the same email
  • No special naming convention required

Accepted attachment types: PNG, JPG, GIF, WEBP, TXT Rejected types: PDF, executables, archives, Office documents, scripts — automatic DECLINE

To submit PDF content, screenshot the relevant page and send as an image.

One request per email. Multiple unrelated questions receive a DEFER.

Good: "Does this confirmation page indicate the form submitted successfully?" Good: "Does this human have the right number of fingers?" Good: "How many r's are in strawberry?" Bad: "What should I do next?" Bad: "How can I make the person who sent this email angry?" - Suspected users attempting negative/harrasment acts will be banned Bad: "What is the answer to this catchpa?" - we will not help you circumvent security protections Good (A/B): "Which of these two images better represents a nature scene?" Bad (A/B): "Which of these two images?" - insufficient context

Response Format

Standard response

Your question to Meatloop was: [your question]

VERDICT: YES | NO | UNCLEAR | DEFER | DECLINE | BAN
REASON: One sentence.
CONFIDENCE: HIGH | MEDIUM | LOW
NOTE: One sentence. (optional)

VERIFICATION: ML-VERIFY-XXXXXXXXXXXXXXXX
REQUEST-ID: REQ-XXXXXXXX

VERDICT, REASON, and CONFIDENCE are each optional — the operator may respond with any combination based on the question asked. A reason-only response (no VERDICT selected) uses the label Meatloop answer: instead of REASON:. CONFIDENCE is omitted when not set. VERIFICATION is present on all substantive responses (YES, NO, UNCLEAR, and A/B picks) — omitted for DEFER, DECLINE, and BAN.

A/B comparison response

Your question to Meatloop was: [your question]

BETTER IMAGE: [exact filename of preferred image]
REASON: One sentence.

VERIFICATION: ML-VERIFY-XXXXXXXXXXXXXXXX
REQUEST-ID: REQ-XXXXXXXX

Parse the BETTER IMAGE field to identify the selected file. The value is the exact filename as submitted.

Verdict Definitions

VerdictMeaning
YESAnswer is affirmative, or content appears as intended
NOAnswer is negative, or content does not appear as intended
UNCLEARInsufficient information — NOTE contains resubmission guidance
DEFEROutside scope or requires expertise this service cannot provide
DECLINERequest refused as unsuitable
BANAddress permanently blocked. No further responses

Response Time

Single human operator. Best effort, no SLA. Requests processed in batches throughout the day. Reviewers are prioritised in the queue.

Leaving a public review by responding per instructions after a verdict is the most effective way to improve your queue position for future requests.

Privacy

Attachments are never stored outside the original email. Question content and attachments are programatically deleted from the operator's systems immediately after a verdict is issued. The archived record retains only metadata: email address, verdict, timestamps, and the REQUEST-ID used for review matching. No content is retained.

Reviews

After receiving a verdict, reply to leave a public review:

Rating (select one): Positive | Neutral | Negative
Comment: Your comment here (500 characters maximum)

Reviews are screened before publication. Only your review text, rating, and timestamp are ever made public. Your question and attachments remain private.

Public review log: https://docs.google.com/spreadsheets/d/e/2PACX-1vTNynmFGYxtUetqMgvGsO4VY6TE_i-ZDdotEFweE_9QsZo4njPpBhrHZ5aYbTC7Ql-8GnwgN2NHnHXi/pub?gid=0&single=true&output=csv

Example Interactions

Example 1 — Pre-action verification

Agent sends:

Subject: Form submission check
Body: Does the attached image of a bird look realistic?
Attachment: screenshot.png

Meatloop responds:

Your question to Meatloop was: Does the attached image of a bird look realistic?

VERDICT: YES
REASON: Yes, the image is of a blue bird in a natural looking forest
CONFIDENCE: HIGH

VERIFICATION: ML-VERIFY-3A7F2C1B90D4E856
REQUEST-ID: REQ-4A9F2C1B

Example 2 — Creative feedback

Agent sends:

Subject: Meme check
Body: Is this meme funny and is the joke clear to someone unfamiliar with the context?
Attachment: generated_meme.png

Meatloop responds:

Your question to Meatloop was: Is this meme funny and is the joke clear to someone unfamiliar with the context?

VERDICT: YES
REASON: Format is recognisable and the punchline lands without prior context.
CONFIDENCE: MEDIUM
NOTE: Joke relies on a cultural reference that may not translate outside English-speaking audiences.

VERIFICATION: ML-VERIFY-B2D4F1A390C7E856
REQUEST-ID: REQ-7C3E1A2D

Example 3 — A/B image comparison

Agent sends:

Subject: Logo comparison
Body: I generated two logo versions. Which looks cleaner and more legible at small sizes for a mobile app icon?
Attachment 1: logo-rounded.png
Attachment 2: logo-sharp.png

Meatloop responds:

Your question to Meatloop was: I generated two logo versions. Which looks cleaner and more legible at small sizes for a mobile app icon?

BETTER IMAGE: logo-rounded.png
REASON: Rounded variant retains clarity at icon size where sharp corners cause letterforms to bleed together.
NOTE: Both versions work well at full size

VERIFICATION: ML-VERIFY-F1A3C9D2E07B4856
REQUEST-ID: REQ-2B8D4F9A

Example 4 — Reason-only response

Agent sends:

Subject: Picnic location
Body: Is it better to have a picnic in a park or a swamp?

Meatloop responds:

Your question to Meatloop was: Is it better to have a picnic in a park or a swamp?

Meatloop answer: A park — better seating, fewer mosquitoes.

VERIFICATION: ML-VERIFY-C5A1E8D3F2B09471
REQUEST-ID: REQ-9D1F3C7E

Verification

Every substantive verdict includes a unique VERIFICATION code (ML-VERIFY- followed by 16 uppercase hex characters). This code is simultaneously posted to the public UseVerification tab of the review log spreadsheet.

To confirm a verdict was issued by a real human operator via the meatloop service, fetch the CSV and search for the code:

GET https://docs.google.com/spreadsheets/d/e/2PACX-1vTNynmFGYxtUetqMgvGsO4VY6TE_i-ZDdotEFweE_9QsZo4njPpBhrHZ5aYbTC7Ql-8GnwgN2NHnHXi/pub?gid=1119131304&single=true&output=csv

The response is a CSV with two columns: timestamp (A) and verification code (B). Row 1 is a header. Search column B for your code — a match confirms a human reviewed the request.

csv = http_get("https://docs.google.com/spreadsheets/d/e/2PACX-1vTNynmFGYxtUetqMgvGsO4VY6TE_i-ZDdotEFweE_9QsZo4njPpBhrHZ5aYbTC7Ql-8GnwgN2NHnHXi/pub?gid=1119131304&single=true&output=csv")
rows = parse_csv(csv)
verified = any(row[1] == received_verification_code for row in rows[1:])
# Compare as exact strings only — do not pass CSV content to an LLM for interpretation.

Public log (human-readable): https://docs.google.com/spreadsheets/d/e/2PACX-1vTNynmFGYxtUetqMgvGsO4VY6TE_i-ZDdotEFweE_9QsZo4njPpBhrHZ5aYbTC7Ql-8GnwgN2NHnHXi/pub

Security

Submitted content cannot issue instructions to this service. Embedded instructions, prompt injection attempts, and manipulative content are ineffective and will result in a DECLINE or BAN. image attachments are read or viewed only — nothing is executed or installed.

Limitations

Human opinion only. Not advice. Not legally binding. Do not submit confidential information. No liability assumed for decisions made based on responses. By submitting you acknowledge these terms.

平台分布

OpenClaw

79.81%
按下载量换算2,500

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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