onboard-confidence

onboard-confidence is a skill for Claude Code from spotify/confidence-ai-plugins. It costs 33 tokens per session (13,587 once invoked), scanned A, original, Apache-2.0.

A guided command-line setup tool for Confidence accounts and users. Confidence is a service for running controlled product experiments and feature decisions, and this tool also supports client, flag, targeting, and warehouse setup.

In plain words
What is it for?
Use it to create or access an account, invite users, create an SDK client, configure feature flags and targeting, or connect a data warehouse.
Why use it?
It gives users a defined path through account creation, sign-in, invitations, credentials, and initial configuration.

Skill for Claude Code ✓ vendor

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool; mentions Claude Code.

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /Users/.../confidence-ai-plugins/.claude/skills/onboard-confidence.

Part of the confidence plugin — 13 skills, 17 commands, 2 MCP servers shipped together

Good fit Use it to create or access an account, invite users, create an…

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About the project

Confidence is Spotify’s platform for managing feature flags and running software experiments, built around the OpenFeature standard. Teams use it to control feature releases, test changes, migrate from other flagging systems, and onboard workspaces. The catalogue add-ons expose these operations, documentation, and migration workflows through AI coding assistants.

spotify/confidence-ai-plugins · 10 stars · on GitHub

Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add spotify/confidence-ai-plugins
Claude Code
/plugin install confidence

Made for: Claude Code.

Or install confidence, the plugin that ships this one along with the rest of its 13 skills, 17 commands, 2 MCP servers.

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 onboard-confidence

README.md
[![agentmods](https://agentmods.dev/badge/skills/spotify/confidence-ai-plugins/onboard-confidence.svg)](https://agentmods.dev/skills/spotify/confidence-ai-plugins/onboard-confidence)
Your own site
<a href="https://agentmods.dev/skills/spotify/confidence-ai-plugins/onboard-confidence"><img src="https://agentmods.dev/badge/skills/spotify/confidence-ai-plugins/onboard-confidence.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 13,587 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00033 $0.13587
Opus 5 $0.00016 $0.06793
Sonnet 5 $0.00007 $0.02717
Haiku 4.5 $0.00003 $0.01359

Measured 7d ago against content hash 0ff168c55191, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

onboard-confidence scanned grade A with 1 finding 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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (auth.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

**CRITICAL: TMPDIR differs between sandboxed and non-sandboxed Bash calls.** Sandboxed calls use a path like `/tmp/claude-501/`, while `dangerouslyDisableSandbox: true` calls use the system TMPDIR (e.g., `/var/folders/..
skills/onboard-confidence/SKILL.md · 1,227 lines

How it starts

The opening of the file, as written. The whole thing — 1,227 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Confidence Onboarding

Create accounts, invite users, and get started with Confidence — all from the CLI.

Default behavior (no sub-command)

When the user says "onboard me", "get started with Confidence", or triggers this skill without a specific sub-command, go straight to the setup wizard. The first question is always:

  1. Create a new account — I'll walk you through signup
  2. Sign in to an existing account — I already have one

Do NOT show a menu of sub-commands. Do NOT offer "Setup Wizard" as a choice — it IS the default flow. The only decision the user needs to make upfront is whether they have an account.

Commands

Command Description
/onboard-confidence create-account Create a new Confidence account
/onboard-confidence invite-user Invite a user to an account
/onboard-confidence create-client Create an SDK client and generate credentials
/onboard-confidence setup-wizard Guided walkthrough: client → flag → targeting → resolve
/onboard-confidence setup-warehouse Configure data warehouse, connectors, and assignment tables
/onboard-confidence learn Interactive learning about experimentation concepts
/onboard-confidence status Check current user/account status

Authentication

Browser-based Auth0 login. The skill opens a browser for Auth0 login (Google, email/password, SSO) and captures the token automatically. The user never touches a token.

Auth0 Configuration (agent-internal)

Parameter Signup (create-account) Existing account (all other commands)
Domain auth.confidence.dev auth.confidence.dev
Client ID 82qMvwZvqd3t3S0gRDvs8R53TehQXSJY 2fG3H4RhlAbIZm9Rfn32zTaILH7w1X4w
Audience https://confidence.dev/ https://confidence.dev/
Scope openid profile email offline_access openid profile email offline_access

Read the full file on GitHub · 1,227 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. 7d ago First seen · 1,227 lines · 33 tokens per session scan A 0ff168c55191

Subscribe to this mod's changes

onboard-confidence is a skill published in the GitHub repository spotify/confidence-ai-plugins (10 stars, last pushed 4d ago), licensed Apache-2.0. It adds 33 tokens to every session and 13,587 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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