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Agent skill

Clerk

by Anil-matcha in Anil-matcha/awesome-muse-connectors

Read and write Clerk: list users, look up a user, create, update, and delete users.

MITAuto-check passed

Install Clerk

skills CLI
$ npx skills add Anil-matcha/awesome-muse-connectors --skill clerk -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Anil-matcha/awesome-muse-connectors clerk --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/clerk .claude/skills/clerk && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
clerk
GitHub stars
1.3k
Token cost
~550 tokens
SKILL.md length
185 words
Files
2
Skills in repo
153
Repo updated
First seen
Licence
MIT

At a glance

Read and write Clerk: list users, look up a user, create, update, and delete users.

  • Works in 5 steps: Request bodies use snake_case field… → Create, update, and delete are… → Delete is irreversible; confirm… → …
  • SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
  • Runs Python scripts from its folder

What it does

Clerk is an agent skill from Anil-matcha/awesome-muse-connectors. Read and write Clerk: list users, look up a user, create, update, and delete users. Trigger phrases: clerk, users auth.

Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/clerk.py`).

The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.

Example prompts

  • “/clerk”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Request bodies use snake_case field names (for example public_metadata). The Clerk SDKs use camelCase; keep the two conventions separate…
  2. Create, update, and delete are confirmation-gated: confirm the details with the user first, unless standing permission exists.
  3. Delete is irreversible; confirm explicitly even when other writes have standing permission.
  4. Reads (users, user) need no confirmation.
  5. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/clerk.py). Do not print, log, or transmit the key value.

What it can do on your machine

Read from SKILL.md and the folder at commit d6dc5d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Clerk loads about 550 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 185 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~31
When it runs · the whole SKILL.md, loaded when a task matches
~550

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 185 words, ~550 tokens.

Download SKILL.mdSave it as .claude/skills/clerk/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
clerk
description
Read and write Clerk: list users, look up a user, create, update, and delete users. Trigger phrases: clerk, users auth.
metadata.includeInPrompt
true
tagline
List, create, update, and delete users.
catalog_auth
Secret API key (per-project)
catalog_hosts
api.clerk.com

Clerk

Purpose

Manage users in the user's Clerk application through the Clerk Backend API: list users, look up one user, create users, update names, and delete users. Use when the user mentions their Clerk users.

Tooling

All commands go through bin/clerk.py:

bash
bin/clerk.py auth                                                    # verify the secret key
bin/clerk.py users --limit 25                                        # list users
bin/clerk.py user --id <user-id>                                     # look up one user
bin/clerk.py create --email "them@example.com" --first-name Ana      # create a user
bin/clerk.py update --id <user-id> --last-name Reyes                 # update a user
bin/clerk.py delete --id <user-id>                                    # delete a user

Auth

  • Provider id: clerk (credential is collected as custom.clerk)
  • Collection: secret key (sk_...) via the secure credential flow (credentials.request_api_access); found in the Clerk dashboard under API Keys
  • Allowed hosts: api.clerk.com
  • Status check: bin/clerk.py auth (must return "ok": true)

Operating Rules

  1. Request bodies use snake_case field names (for example public_metadata). The Clerk SDKs use camelCase; keep the two conventions separate and never send SDK-style field names to this API.
  2. Create, update, and delete are confirmation-gated: confirm the details with the user first, unless standing permission exists.
  3. Delete is irreversible; confirm explicitly even when other writes have standing permission.
  4. Reads (users, user) need no confirmation.
  5. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/clerk.py). Do not print, log, or transmit the key value.

Files

  • SKILL.md
  • bin/clerk.py

Maturity

🧪 Draft: written from Clerk's public API docs; not yet live-tested end-to-end.

© Anil-matcha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in connectors/clerk of Anil-matcha/awesome-muse-connectors.

  • SKILL.md
  • bin/clerk.py

Open the folder on GitHubat commit d6dc5d8

Compare with similar skills

Clerk next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Clerk compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Clerk this skillAnil-matcha/awesome-muse-connectors1.3k—~550Automated safety check: PassMIT
Clerk Authdavila7/claude-code-templates33k5 repos~376Automated safety check: PassMIT
Clerk Authsickn33/agentic-awesome-skills47k2 repos~355Automated safety check: PassMIT
Clerk Observabilityjeremylongshore/tons-of-skills-marketplace2.8k—~2.1kAutomated safety check: PassMIT
Clerk AuthLeoYeAI/openclaw-master-skills2.2k—~6.1kAutomated safety check: NotesMIT
Clerk Security Basicsjeremylongshore/tons-of-skills-marketplace2.8k—~1.8kAutomated safety check: NotesMIT

Similar skills

  • Clerk Auth

    davila7/claude-code-templates

    Expert patterns for Clerk auth implementation, middleware, organizations, webhooks, and user sync Use when: adding authentication, clerk auth, user authentication, sign in, sign up.

    33k GitHub starsUsed in 5 repos~376 tokens
    Backend & APIsAuto-check passed

  • Clerk Auth

    sickn33/agentic-awesome-skills

    Expert patterns for Clerk auth implementation, middleware, organizations, webhooks, and user sync

    47k GitHub starsUsed in 2 repos~355 tokens
    Backend & APIsAuto-check passed

  • Clerk Observability

    jeremylongshore/tons-of-skills-marketplace

    Implement monitoring, logging, and observability for Clerk authentication.

    2.8k GitHub stars~2.1k tokensUpdated today
    DevOps & CloudAuto-check passed

  • Clerk Auth

    LeoYeAI/openclaw-master-skills

    Clerk auth with API Keys beta (Dec 2025), Next.js 16 proxy.ts (March 2025 CVE context), API version 2025-11-10 breaking changes, clerkMiddleware() options, webhooks, production considerations (GCP…

    2.2k GitHub stars~6.1k tokensUpdated 2 mo ago
    Backend & APIsAuto-check: notes

  • Clerk Security Basics

    jeremylongshore/tons-of-skills-marketplace

    Implement security best practices with Clerk authentication.

    2.8k GitHub stars~1.8k tokensUpdated today
    Backend & APIsAuto-check: notes

  • Clerk CI Integration

    jeremylongshore/tons-of-skills-marketplace

    Configure Clerk CI/CD integration with GitHub Actions and testing.

    2.8k GitHub stars~1.7k tokensUpdated today
    DevOps & CloudAuto-check passed

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Questions about Clerk

What does Clerk do?

Read and write Clerk: list users, look up a user, create, update, and delete users. Clerk is an agent skill from Anil-matcha/awesome-muse-connectors. Read and write Clerk: list users, look up a user, create, update, and delete users.

How do I install Clerk in Claude Code?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill clerk -a claude-code`. Or copy the skill folder (connectors/clerk in Anil-matcha/awesome-muse-connectors) into .claude/skills/clerk in your project. Claude Code loads it when a task matches its description.

How do I install Clerk in Codex?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill clerk -a codex`. Or copy the skill folder (connectors/clerk in Anil-matcha/awesome-muse-connectors) into .agents/skills/clerk in your project. Codex loads it when a task matches its description.

Can I use Clerk in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Anil-matcha/awesome-muse-connectors --skill clerk -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/clerk, .gemini/skills/clerk, .github/skills/clerk and .opencode/skills/clerk in your project.

What does Clerk need to run?

Going by SKILL.md and its folder, Clerk needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Clerk access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Clerk safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Clerk use?

Clerk is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Clerk use?

About 550 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Clerk?

Skills that share tags, products or a category with Clerk: Clerk Auth (davila7/claude-code-templates, 33k stars), Clerk Auth (sickn33/agentic-awesome-skills, 47k stars), Clerk Observability (jeremylongshore/tons-of-skills-marketplace, 2.8k stars) and Clerk Auth (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Clerk?

Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,347 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.

Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.