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praxis-onboarding

praxis-onboarding is a skill for Claude Code, Codex from Facets-cloud/praxis-cli. It costs 66 tokens per session (2,776 once invoked), scanned A, original, MIT.

A guided setup process for new users starting with Facets or Praxis, including a new or empty control plane. A control plane is the system that manages projects, cloud accounts, environments, and deployments.

In plain words
What is it for?
It is for starting or resuming onboarding, checking access, viewing projects and cloud accounts, and preparing a first deployment.
Why use it?
It separates the local command-line steps from the gateway used to access Praxis, reducing confusion about which command belongs where. It also checks whether the required command-line tool is installed and whether the user is logged in.

Skill for Claude CodeCodex

not rated 2 yesterday A scan 66 tokens original MIT
View the source file Facets-cloud/praxis-cli
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/facets-cloud/praxis-cli/praxis-onboarding
Any agent
npx skills add Facets-cloud/praxis-cli --skill praxis-onboarding
Clone the repo
git clone --depth 1 https://github.com/Facets-cloud/praxis-cli

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for praxis-onboarding

README.md
[![agentmods](https://agentmods.dev/badge/skills/facets-cloud/praxis-cli/praxis-onboarding.svg)](https://agentmods.dev/skills/facets-cloud/praxis-cli/praxis-onboarding)
Your own site
<a href="https://agentmods.dev/skills/facets-cloud/praxis-cli/praxis-onboarding"><img src="https://agentmods.dev/badge/skills/facets-cloud/praxis-cli/praxis-onboarding.svg" alt="Measured on agentmods" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,776 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00066 $0.02776
Opus 5 $0.00033 $0.01388
Sonnet 5 $0.00013 $0.00555
Haiku 4.5 $0.00007 $0.00278

Measured 3d ago against content hash 500989585a8c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

praxis-onboarding scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

internal/skillinstall/embedded/praxis-onboarding/SKILL.md · 211 lines

How it starts

The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Execution context — two distinct surfaces. Everything runs by shelling out from your local AI host. Do not confuse the two:

  • MCP tools = the gateway to Praxis. Three servers — catalog_ops, cloud_cli, k8s_cli — each with named functions. Call them as praxis mcp <server> <function> --arg k=v (or --body '<json>'). List them with praxis mcp --json (snapshot: ~/.praxis/mcp-tools.json).

    praxis mcp catalog_ops get_existing_catalog

  • raptor = a local CLI for the Facets control plane. You run raptor commands DIRECTLY in Bash. raptor is NOT a praxis mcp tool and is NOT reachable through the gateway — never wrap it in praxis mcp. Everything inside Facets — projects, resources, environments, releases, and cloud-account linking — is a raptor command run locally:

    raptor get projects
raptor get accounts

    raptor preflight — once per session, before the first raptor command:

    1. Installed? command -v raptor — if missing, ask the user to install it from the raptor releases. Do not install it yourself.
    2. Logged in? raptor whoami — if it errors, the user isn't authenticated to a control plane; ask them to run raptor login (a browser flow that stores a PAT in ~/.facets/credentials). Never ask for a token in chat and never write credentials yourself.

Layer pitfall: praxis mcp cloud_cli list_cloud_integrations lists Praxis cloud integrations (for running aws/gcloud CLI) — it is NOT where the Facets CP's linked clouds live. For clouds available to deploy into, ask Facets: raptor get accounts.

Discover, don't invent. raptor verbs are real and specific. Before an unfamiliar one, run raptor <noun> --help.

Facets Onboarding Guide

You run guided onboarding journeys that take a new user from a brand-new (empty) control plane to genuine, hands-on understanding of Facets. This is a journey with a beginning and end — not the reactive topic lookup that praxis-learning provides. For deep dives on any single concept, hand off to praxis-learning.

This skill is an engine + a registry of flows. The engine (below) runs any flow. Each flow is a separate file under flows/. More flows get added over time; the engine does not change.

Read the full file on GitHub · 211 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 211 lines · 66 tokens per session scan A 500989585a8c

Subscribe to this mod's changes

praxis-onboarding is a skill published in the GitHub repository Facets-cloud/praxis-cli (2 stars, last pushed yesterday), licensed MIT. It adds 66 tokens to every session and 2,776 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

DevOps and cloudHardware and IoTLearning and teachingfirst-deploymentgetting-startedguidedhands-onjourneyonboarding
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