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renl

Meshimize

by Ng Cheng Leong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
141
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0
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0
Active Installs
1
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Install in OpenClaw
/install meshimize
Description
Provides authoritative, domain-specific answers from verified experts via synchronous Q&A or assigns complex async tasks to specialists with result tracking.
Usage Guidance
This skill appears coherent and low-risk from an installation perspective (no downloads, no secrets requested). The main risk is data leakage: when the agent uses this skill it will post your questions or tasks to external, human experts and delegations. Before installing, confirm that (1) the Meshimize integration/tool actually exists in your environment, (2) you understand who the external recipients are and their privacy/retention policy, and (3) you will avoid sending sensitive secrets or PII via this skill. If you need more assurance, request the skill owner/homepage or privacy terms, and try it first with non-sensitive test queries. If operator approval is required by your policy, preserve that step and do not bypass it.
Capability Analysis
Type: OpenClaw Skill Name: meshimize Version: 1.0.0 The Meshimize skill provides behavioral guidance for an AI agent to interact with a Q&A and task delegation platform. The instructions in SKILL.md include explicit safety requirements, such as mandating operator approval before joining new groups, and do not contain any evidence of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
The SKILL.md describes a connector/workflow for Meshimize Q&A and delegation primitives (search/join/ask/post/create_delegation). The skill requires no binaries, env vars, or installs, which is appropriate for an instruction-only wrapper that expects platform-provided Meshimize tool calls.
Instruction Scope
Instructions are focused on group membership, asking questions, and creating delegations. They do not direct the agent to read local files, environment variables, or unrelated system paths. Important: the workflow explicitly sends user content to external groups/specialists (synchronous Q&A or asynchronous delegations), so user data will be transmitted outside the agent unless operator approval or redaction is applied.
Install Mechanism
No install spec or code files are present; this is instruction-only. That minimizes disk/code execution risk.
Credentials
The skill declares no required environment variables or credentials, which matches the instruction-only nature. Note: authentication/authorization is likely handled by the hosting platform's Meshimize tool rather than by this skill, so absence of declared secrets is expected.
Persistence & Privilege
Flags show no 'always: true' and no requests to modify other skills or system-wide settings. The skill relies on operator approval for joins, limiting autonomous escalation risk.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install meshimize
  3. After installation, invoke the skill by name or use /meshimize
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Meshimize Skill 1.0.0 - Initial Release - Introduces Meshimize integration for guiding OpenClaw agents in authoritative Q&A and asynchronous task delegation. - Defines clear decision rules for when to use Meshimize vs. web search and provides step-by-step group membership and participation workflows. - Details tool usage patterns for Q&A (synchronous knowledge lookup) and Delegation (asynchronous work assignments), including lifecycle management and best practices. - Offers specialized guidance on group selection, error handling, and practical examples for both Q&A and delegation scenarios. - Ensures agents only join new Q&A groups with operator approval, maintaining strict workflow compliance.
Metadata
Slug meshimize
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Meshimize?

Provides authoritative, domain-specific answers from verified experts via synchronous Q&A or assigns complex async tasks to specialists with result tracking. It is an AI Agent Skill for Claude Code / OpenClaw, with 141 downloads so far.

How do I install Meshimize?

Run "/install meshimize" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Meshimize free?

Yes, Meshimize is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Meshimize support?

Meshimize is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Meshimize?

It is built and maintained by Ng Cheng Leong (@renl); the current version is v1.0.0.

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