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athola

Nm Gauntlet Onboard

by athola · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
88
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0
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1
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1
Versions
Install in OpenClaw
/install nm-gauntlet-onboard
Description
Guided onboarding path through five stages: big picture, core domain, interfaces, patterns, and hardening
Usage Guidance
This skill is instruction-only and appears coherent with its stated goal: it guides a developer through onboarding stages and requests no credentials or installs. It's low-risk to add, but note it is high-level: it presumes the agent or platform will store/track progress (no storage mechanism is specified). If you see a future version that adds an install step, requests environment variables, or instructs the agent to read files or send data to external endpoints, re-evaluate before enabling it.
Capability Analysis
Type: OpenClaw Skill Name: nm-gauntlet-onboard Version: 1.0.0 The skill bundle contains only metadata and documentation (SKILL.md) for a structured developer onboarding process. There is no executable code, no instructions for sensitive data access, and no evidence of malicious intent or prompt injection; it simply defines a workflow for guiding users through a codebase.
Capability Assessment
Purpose & Capability
Name/description describe a guided onboarding flow and the SKILL.md contains only staging and step-by-step onboarding instructions. No unrelated binaries, env vars, or config paths are requested.
Instruction Scope
Instructions are limited to presenting stages, challenges, hints, and progress tracking. The doc mentions actions like 'Load onboarding progress' and 'Track mastery' but does not specify reading system files, env vars, or external endpoints; this implies use of agent-internal state rather than accessing external secrets. The wording is slightly high-level/vague about where progress is stored, but not incoherent with its purpose.
Install Mechanism
No install spec and no code files — instruction-only skill. No downloads, package installs, or filesystem writes are declared.
Credentials
The skill declares no required environment variables, credentials, or config paths; nothing in the instructions requests secrets or external service access.
Persistence & Privilege
always is false and the skill does not request persistent system presence or modify other skills' configuration. Autonomous invocation is allowed (platform default) but is not combined with broad privileges here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install nm-gauntlet-onboard
  3. After installation, invoke the skill by name or use /nm-gauntlet-onboard
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of "onboard" skill for guided developer onboarding. - Supports a structured five-stage path: big picture, core domain, interfaces, patterns, and hardening. - Tracks onboarding progress, mastery (correct twice), and advancement (80%+ over 10+ challenges). - Provides hints on first attempt and summarizes stage progress. - Includes graduation step, transitioning to the regular gauntlet with answer history retained.
Metadata
Slug nm-gauntlet-onboard
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Nm Gauntlet Onboard?

Guided onboarding path through five stages: big picture, core domain, interfaces, patterns, and hardening. It is an AI Agent Skill for Claude Code / OpenClaw, with 88 downloads so far.

How do I install Nm Gauntlet Onboard?

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

Is Nm Gauntlet Onboard free?

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

Which platforms does Nm Gauntlet Onboard support?

Nm Gauntlet Onboard is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Nm Gauntlet Onboard?

It is built and maintained by athola (@athola); the current version is v1.0.0.

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