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meatloopmeatloop 图像

Agent Skill

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。

总安装

8,940

周安装

384

GitHub Stars

公开资料未说明

下载量

3,133
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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