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MeatLoop
by
meatloopservice
· GitHub ↗
· v1.0.0
· MIT-0
305
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0
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0
Active Installs
1
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Install in OpenClaw
/install meatloop
Description
A real human reviews your question, screenshot, or pair of images and returns a structured verdict by email. Use for sanity checks, content verification, cre...
Usage Guidance
Before installing or using this skill consider: (1) It asks you to send images/questions to a third‑party Gmail address — do not send sensitive or confidential screenshots (credentials, financial, medical, legal) to that address. (2) The skill provides no declared mechanism for the agent to send/receive email automatically; ask the author how email is intended to be sent and how replies are ingested. (3) Ask for a privacy/data-retention policy and details on the public verification log (what is posted, could it leak identifiers?). (4) If you must test, use throwaway accounts and anonymized/redacted data. (5) Prefer a skill that declares required credentials/tools (SMTP/API keys) and documents how responses are delivered and data is protected — absence of those is the primary incoherence here.
Capability Analysis
Type: OpenClaw Skill
Name: meatloop
Version: 1.0.0
The 'meatloop' skill (SKILL.md) instructs the AI agent to send potentially sensitive data, such as screenshots of deployment dashboards, invoices, and login pages, to an external third-party email address ([email protected]) for 'human review.' While framed as a human-in-the-loop utility, this design facilitates the exfiltration of private or internal information to an unauthenticated destination. The use of a generic Gmail account and a public Google Spreadsheet for 'verification' (IOC: 2PACX-1vTNynmFGYxtUetqMgvGsO4VY6TE_i-ZDdotEFweE_9QsZo4njPpBhrHZ5aYbTC7Ql-8GnwgN2NHnHXi) are significant red flags for a data harvesting operation disguised as a legitimate service.
Capability Assessment
Purpose & Capability
The stated purpose (human-in-the-loop image/question review) is plausible and matches the SKILL.md content. However, the skill is presented as an agent skill but declares no way for the agent to send or receive the required email (no SMTP/API credentials or tool bindings). That mismatch may mean the skill expects a human to manually email the service, or it omits required environment/tool declarations.
Instruction Scope
Runtime instructions tell the agent/user to send potentially sensitive images and questions to [email protected] and expect a reply by email; they also state a tamper-evident verification code will be posted to a public log. The instructions therefore direct data to an external endpoint (a third‑party Gmail account and a public log) and do not describe how replies are received back into the agent, how long data is retained, or what metadata is published — all of which are meaningful privacy/exfiltration concerns.
Install Mechanism
No install spec and no code files are present (instruction-only). This is low‑risk from a code execution/install perspective because nothing will be written to disk by the skill itself.
Credentials
The skill declares no required environment variables or credentials despite requiring sending email and receiving email responses. If the agent is expected to send email automatically, SMTP or mailbox credentials would be required but are not declared. Separately, the instructions encourage uploading images/text to an external Gmail account — a proportionality/privacy concern because that can leak PII or sensitive screenshots.
Persistence & Privilege
The skill does not request persistent system privileges and always:false. Autonomous invocation is allowed (default) — combined with the external-email data flow this increases potential exposure if the agent automatically emails content to the third party. The skill does not modify other skills or system settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install meatloop - After installation, invoke the skill by name or use
/meatloop - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Meatloop skill.
- Provides human-in-the-loop verification and judgment for questions and images via email.
- Supports binary and near-binary questions, content and UI verification, creative/tone checks, document and receipt inspection, and A/B image comparison.
- Structured verdicts with human-generated VERIFICATION codes for each substantive response.
- Simple submission: send an email (optionally with up to 2 images); no setup or credentials required.
- Ensures privacy: attachments deleted after review, only minimal metadata retained.
Metadata
Frequently Asked Questions
What is MeatLoop?
A real human reviews your question, screenshot, or pair of images and returns a structured verdict by email. Use for sanity checks, content verification, cre... It is an AI Agent Skill for Claude Code / OpenClaw, with 305 downloads so far.
How do I install MeatLoop?
Run "/install meatloop" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is MeatLoop free?
Yes, MeatLoop is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does MeatLoop support?
MeatLoop is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created MeatLoop?
It is built and maintained by meatloopservice (@meatloopservice); the current version is v1.0.0.
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