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Ops & Production Bundle: 5-Guide Collection for Running Agent Systems at Scale

by mirni · GitHub ↗ · v1.3.1 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install greenhelix-bundle-ops-production
Description
Ship and operate AI agent systems in production. Covers fleet management, production hardening, distributed observability, QA/chaos testing, and incident res...
README (SKILL.md)

Ops & Production Bundle: 5-Guide Collection for Running Agent Systems at Scale

Included Guides

Guide Individual Price
AgentOps: Managing AI Agent Fleets in Production $49.00
The Agent Production Hardening Guide $49.00
Agent Observability Stack: Distributed Tracing, Metrics, and Alerting for Multi-Agent Systems $49.00
Agent Testing & QA Toolkit: Integration, Chaos, and Contract Testing for Multi-Agent Systems $39.00
The Agent Incident Response Playbook: Detect, Contain, Recover, and Learn When AI Agent Systems Fail $39.00

Total Value: $225.00 | Bundle Price: $149.00

Usage Guidance
This bundle is documentation-only but asks for a GREENHELIX_API_KEY — ask the publisher (or marketplace) why that key is required and what the key will be used for. Do not place secrets in your environment unless you understand scope and trust the source. If a key is truly needed, request: (1) a clear explanation (e.g., license validation or gated download), (2) the exact API endpoint(s) the skill will call, (3) least-privilege credentials or time-limited key, and (4) a privacy/telemetry statement. If the vendor cannot justify the credential need, avoid installing or supplying the key.
Capability Analysis
Type: OpenClaw Skill Name: greenhelix-bundle-ops-production Version: 1.3.1 The bundle consists entirely of descriptive documentation and metadata for a collection of guides related to AI agent operations. There is no executable code, installation scripts, or instructions that could lead to malicious behavior or prompt injection in SKILL.md or _meta.json.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
The skill's name and SKILL.md describe a set of written guides (instruction-only, no code, no install). Requiring a GREENHELIX_API_KEY as a required/primary credential is disproportionate: there is no clear reason in the manifest or content why an API key would be needed to access or use documentation.
Instruction Scope
The SKILL.md contains only metadata and a list of included guides/pricing; it does not instruct the agent to read local files, call external endpoints, or access environment variables at runtime. The runtime instructions themselves stay within scope for a documentation bundle.
Install Mechanism
There is no install spec and no code files — lowest-risk installation surface. Nothing will be written to disk or downloaded by an install step described here.
Credentials
Declaring GREENHELIX_API_KEY as the primary required env var is not justified by any content in the SKILL.md. A documentation bundle typically should not require secrets. If the key is for licensing, telemetry, or downloading gated content, that intent should be explicit. Requesting an API key with no explanation raises the risk of credential misuse or exfiltration.
Persistence & Privilege
The skill is not always-enabled, does not request elevated persistence, and does not include install steps that modify system or other skills' configuration. Autonomous invocation is allowed (platform default) but not combined here with other high-risk behaviors.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install greenhelix-bundle-ops-production
  3. After installation, invoke the skill by name or use /greenhelix-bundle-ops-production
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.3.1
- Added Openclaw environment metadata specifying required environment variable (GREENHELIX_API_KEY). - No changes to guides, pricing, or bundle contents.
v1.3.0
- Bumped version to 1.3.0. - No content or functional changes; SKILL.md updated only for version metadata.
v1.2.0
- Added requirement for GREENHELIX_API_KEY credentials. - No changes to bundle contents or pricing.
v1.1.0
- Added metadata fields: executable (false), credentials (none), and install (none) to the skill manifest. - No changes to included guides or bundle description.
v1.0.0
Initial release of greenhelix-bundle-ops-production. - Launches a bundle for operating AI agent systems in production environments. - Includes 5 guides covering fleet management, production hardening, observability, QA/chaos testing, and incident response. - Bundle offers a combined $225 value at a $149 price point. - Compatible with openclaw. - Licensed under MIT.
Metadata
Slug greenhelix-bundle-ops-production
Version 1.3.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 5
Frequently Asked Questions

What is Ops & Production Bundle: 5-Guide Collection for Running Agent Systems at Scale?

Ship and operate AI agent systems in production. Covers fleet management, production hardening, distributed observability, QA/chaos testing, and incident res... It is an AI Agent Skill for Claude Code / OpenClaw, with 169 downloads so far.

How do I install Ops & Production Bundle: 5-Guide Collection for Running Agent Systems at Scale?

Run "/install greenhelix-bundle-ops-production" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Ops & Production Bundle: 5-Guide Collection for Running Agent Systems at Scale free?

Yes, Ops & Production Bundle: 5-Guide Collection for Running Agent Systems at Scale is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Ops & Production Bundle: 5-Guide Collection for Running Agent Systems at Scale support?

Ops & Production Bundle: 5-Guide Collection for Running Agent Systems at Scale is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Ops & Production Bundle: 5-Guide Collection for Running Agent Systems at Scale?

It is built and maintained by mirni (@mirni); the current version is v1.3.1.

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