clerk

clerk is a skill for Claude Code, Codex from withoneai/one-agent-plugin. It costs 100 tokens per session (5,566 once invoked), scanned A, a copy of 2-chat, MIT.

A user-authentication and account-management service for web applications. Authentication verifies who a user is and handles sign-in, sign-up, profiles, sessions, organisations, and related access records.

In plain words
What is it for?
Use it to manage users, sign-in and sign-up flows, profiles, sessions, organisations, API keys, invitations, and connected applications.
Why use it?
It removes the need to build common login and user-management features yourself.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to manage users, sign-in and sign-up flows, profiles, sessions, organisations, API keys, invitations, and connected applications.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/withoneai/one-agent-plugin/clerk
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.

Any agent
npx skills add withoneai/one-agent-plugin --skill clerk
Clone the repo
git clone --depth 1 https://github.com/withoneai/one-agent-plugin

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 clerk

README.md
[![agentmods](https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/clerk/github.svg)](https://agentmods.dev/skills/withoneai/one-agent-plugin/clerk)
Your own site
<a href="https://agentmods.dev/skills/withoneai/one-agent-plugin/clerk"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/clerk/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for clerk

Your own site · 80×15
<a href="https://agentmods.dev/skills/withoneai/one-agent-plugin/clerk"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/clerk.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,566 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 78% copy Near-identical to another mod 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 $0.00100 $0.05566
Opus 5 $0.00050 $0.02783
Sonnet 5 $0.00020 $0.01113
Haiku 4.5 $0.00010 $0.00557

Measured 5d ago against content hash 11efbd2598a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

clerk 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 5d 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.

Origin

This is a copy

78% identical to 2-chat — 312 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

platforms/one-clerk/skills/clerk/SKILL.md · 199 lines

How it starts

The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Clerk through One

Clerk provides user authentication and user management solutions for modern web applications, including features like sign-in, sign-up, user profiles, and session handling out-of-the-box.

One exposes Clerk through four MCP tools. The table below carries real action ids from One's knowledge base, so for a common operation you can skip search and go straight to reading the action's parameters.

How to run an action

  1. Find the action in the table below, or call search_one_platform_actions with platform clerk if it is not listed.
  2. Call get_one_action_knowledge with the action id. Do this every time, including for actions in this table. The table gives you the id, not the parameters.
  3. Call execute_one_action with parameters copied from that knowledge.

Never guess a parameter name, a body field, or an enum value. The knowledge has the real schema, and a guessed field is either a 400 or a silent write of the wrong thing.

Before you start

Call list_one_integrations once and confirm Clerk is connected. If it is missing, the user has not connected it: say so and point them at https://app.withone.ai rather than reaching for raw HTTP.

Each connection carries an access field. If it reports {"policy": "methods", "methods": ["GET"]} the agent is read-only here, so plan a read-only answer instead of attempting a write that will be refused.

Before a write

Creates, updates, deletes and sends land on a real Clerk account and cannot be recalled. State the action and the specific target in one line before the first write in a task, and let the user stop you. Reads need no confirmation.

Actions

Users

Action Method Path Action id
Count Users GET /users/count conn_mod_def::GJ1L3NtHkXI::hDXsAQrkSa27qnqU1SvwQg
List Users GET /users conn_mod_def::GJ1L4sXQ2AE::S0As9aD3QU63FtiTBpAA_w
Retrieve a User GET /users/{{userId}} conn_mod_def::GJ1L5DdgkqE::UgwnohPiR-GpoHvFkZdB8A
Retrieve a User’s Billing Credit Balance GET /users/{{userId}}/billing/credits conn_mod_def::GJ1L5VNrzXE::Lt02peI1TKOi8hdQNC-krQ
Retrieve a User’s OAuth Access Token (by Provider) GET /users/{{userId}}/oauth_access_tokens/{{provider}} conn_mod_def::GJ1L53IyQ9Y::780xRf4tQOKl3lgbNVAz-w
Ban a User POST /users/{{userId}}/ban conn_mod_def::GJ1L23UMYGY::mhmyjEQpRZi5-p5qdOpYgw
Ban Multiple Users POST /users/ban conn_mod_def::GJ1L2_Z0Aow::KTsP3NrfRwSRqGVMIwXM2g
Create a New User POST /users conn_mod_def::GJ1L3YJ_Mro::bJYRwmT6SzSMNudDD1LgDQ
Delete a User DELETE /users/{{userId}} conn_mod_def::GJ1L3fJE1xk::0dn082cwTzKfBX8MW4EiCA
Delete a User’s Profile Image DELETE /users/{{userId}}/profile_image conn_mod_def::GJ1L4Pa8ZH0::Ntixk43OSWK7smXUW6Lx0Q
Delete a User's TOTPs DELETE /users/{{userId}}/totp conn_mod_def::GJ1L3-zGrL0::6nSaJaRxRSy_V-zmOoA9Jg
Delete a User's Web3 Wallet DELETE /users/{{userId}}/web3_wallets/{{web3WalletIdentificationId}} conn_mod_def::GJ1L3u_jdW8::Rh2ykuVvQ2GuvovOHWyNwQ

Read the full file on GitHub · 199 lines

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. 5d ago First seen · 199 lines · 0 tokens per session scan A 11efbd2598a8

Subscribe to this mod's changes

clerk is a skill published in the GitHub repository withoneai/one-agent-plugin (1 stars, last pushed 19d ago), licensed MIT. It adds 100 tokens to every session and 5,566 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 78% identical to 2-chat, differing in 312 lines, and is treated as a copy.

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