Agent skill

Openrouter Team Setup

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Configure OpenRouter for multi-user teams with per-user keys, budget controls, and usage attribution.

MITAuto-check passedAI & LLM Engineering

Install Openrouter Team Setup

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill openrouter-team-setup -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace openrouter-team-setup --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/openrouter-team-setup .claude/skills/openrouter-team-setup && 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
openrouter-team-setup
GitHub stars
2.8k
Token cost
~2.7k tokens
SKILL.md length
523 words
Files
9 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Configure OpenRouter for multi-user teams with per-user keys, budget controls, and usage attribution.

  • Works in 7 steps: Create a management key at… → Provision one key per team member via… → Alternatively, keep a single shared key… → …
  • Tasks that involve Model routing and gateways
  • SKILL.md covers Overview, Prerequisites, Instructions and Key Provisioning via…, plus 10 more sections
  • Calls curl and jq; reaches openrouter.ai; needs OPENROUTER_MGMT_KEY and MGMT_KEY

What it does

Openrouter Team Setup is an agent skill from jeremylongshore/tons-of-skills-marketplace. Configure OpenRouter for multi-user teams with per-user keys, budget controls, and usage attribution. Triggers: 'openrouter team', 'openrouter multi-user', 'openrouter organization', 'team api keys openrouter'.

Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `references/access-control.md`, `references/api-key-strategy-for-teams.md` and `references/budget-management.md`). Compatibility notes: Designed for Claude Code

It sits in AI & LLM Engineering, covering Model routing and gateways. It works with OpenRouter and SQLite. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Tasks that involve Model routing and gateways

Example prompts

  • “openrouter team”
  • “openrouter multi-user”
  • “openrouter organization”
  • “/openrouter-team-setup”

Requirements

  • Python 3
  • A credential in OPENROUTER_MGMT_KEY
  • A credential in OPENROUTER_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Bash(python3:*), Bash(curl:*), Bash(jq:*)

Workflow steps

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

  1. Create a management key at openrouter.ai/keys and export it as OPENROUTER_MGMT_KEY.
  2. Provision one key per team member via Key Provisioning via Management API — create_team_key(name, credit_limit) posts to /api/v1/keys…
  3. Alternatively, keep a single shared key and attribute usage per user with the Shared Key with User Attribution pattern (X-Title…
  4. Enforce spend locally with Per-User Budget Enforcement — initialize the user_usage / user_budgets sqlite tables, call check_user_budget…
  5. Gate expensive models per tier with the Model Governance allowlists (enforce_model_policy downgrades disallowed requests).
  6. Monitor continuously: run the Team Key Dashboard Script (curl + jq against /api/v1/keys) and generate the weekly Team Usage Report from…
  7. Revoke keys for departed members with delete_team_key(key_hash) (DELETE /api/v1/keys/{hash}).

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Grep
    • Bash(python3:*)
    • Bash(curl:*)
    • Bash(jq:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • jq

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • openrouter.ai

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • OPENROUTER_MGMT_KEY
    • MGMT_KEY
    • OPENROUTER_API_KEY

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

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Openrouter Team Setup loads about 2.7k tokens when it runs, and up to ~6.7k if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 523 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.7k

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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 523 words, ~2,743 tokens.

Download SKILL.mdSave it as .claude/skills/openrouter-team-setup/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
openrouter-team-setup
description
Configure OpenRouter for multi-user teams with per-user keys, budget controls, and usage attribution. Triggers: 'openrouter team', 'openrouter multi-user', 'openrouter organization', 'team api keys openrouter'.
allowed-tools
Read, Write, Edit, Grep, Bash(python3:*), Bash(curl:*), Bash(jq:*)
compatibility
Designed for Claude Code
version
1.20.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, openrouter, team, organization, governance

OpenRouter Team Setup

Overview

OpenRouter supports team usage through per-user API keys with individual credit limits, management keys for programmatic key provisioning, and usage attribution via headers. This skill covers key provisioning, per-user budgets, usage tracking, and governance policies for multi-user deployments.

Prerequisites

  • A management key (sk-or-v1-...) with provisioning rights exported as OPENROUTER_MGMT_KEY — created separately at openrouter.ai/keys; it can create/list/delete API keys but cannot call completions
  • A regular OpenRouter API key exported as OPENROUTER_API_KEY for the shared-key attribution pattern — see the openrouter-install-auth skill for setup
  • Python 3.8+ with the OpenAI SDK and requests; sqlite3 (stdlib) backs the per-user budget database
  • curl and jq for the Team Key Dashboard Script

Instructions

  1. Create a management key at openrouter.ai/keys and export it as OPENROUTER_MGMT_KEY.
  2. Provision one key per team member via Key Provisioning via Management API — create_team_key(name, credit_limit) posts to /api/v1/keys; record the one-time key value and keep the key_hash for later listing/revocation.
  3. Alternatively, keep a single shared key and attribute usage per user with the Shared Key with User Attribution pattern (X-Title: my-app:{user_id} header shows each user in the dashboard).
  4. Enforce spend locally with Per-User Budget Enforcement — initialize the user_usage / user_budgets sqlite tables, call check_user_budget before each request and record_user_usage after.
  5. Gate expensive models per tier with the Model Governance allowlists (enforce_model_policy downgrades disallowed requests).
  6. Monitor continuously: run the Team Key Dashboard Script (curl + jq against /api/v1/keys) and generate the weekly Team Usage Report from the sqlite DB.
  7. Revoke keys for departed members with delete_team_key(key_hash) (DELETE /api/v1/keys/{hash}).

Key Provisioning via Management API

python
import os, requests

MGMT_KEY = os.environ["OPENROUTER_MGMT_KEY"]  # Management key (cannot call completions)

def create_team_key(name: str, credit_limit: float = 25.0) -> dict:
    """Create a new API key for a team member."""
    resp = requests.post(
        "https://openrouter.ai/api/v1/keys",
        headers={"Authorization": f"Bearer {MGMT_KEY}"},
        json={"name": name, "limit": credit_limit},
    )
    resp.raise_for_status()
    data = resp.json()["data"]
    return {
        "key": data["key"],       # sk-or-v1-... (shown once)
        "hash": data["key_hash"], # For later identification
        "name": name,
        "limit": credit_limit,
    }

def list_team_keys() -> list[dict]:
    """List all keys with usage and limits."""
    resp = requests.get(
        "https://openrouter.ai/api/v1/keys",
        headers={"Authorization": f"Bearer {MGMT_KEY}"},
    )
    return [
        {
            "name": k.get("name"),
            "hash": k.get("key_hash"),
            "usage": k.get("usage", 0),
            "limit": k.get("limit"),
            "is_free_tier": k.get("is_free_tier", False),
        }
        for k in resp.json().get("data", [])
    ]

def delete_team_key(key_hash: str):
    """Revoke a team member's key."""
    resp = requests.delete(
        f"https://openrouter.ai/api/v1/keys/{key_hash}",
        headers={"Authorization": f"Bearer {MGMT_KEY}"},
    )
    resp.raise_for_status()

# Provision keys for the team
for member in ["alice-backend", "bob-frontend", "carol-ml"]:
    key_info = create_team_key(member, credit_limit=50.0)
    print(f"Created key for {member}: {key_info['key'][:20]}...")

Shared Key with User Attribution

python
from openai import OpenAI

# Alternative: single shared key with user identification via headers
def get_client_for_user(user_id: str) -> OpenAI:
    """Create a client that attributes usage to a specific user."""
    return OpenAI(
        base_url="https://openrouter.ai/api/v1",
        api_key=os.environ["OPENROUTER_API_KEY"],
        default_headers={
            "HTTP-Referer": "https://my-app.com",
            "X-Title": f"my-app:{user_id}",  # User shows in dashboard
        },
    )

# Each user's requests appear under their X-Title in the dashboard
alice_client = get_client_for_user("alice")
response = alice_client.chat.completions.create(
    model="openai/gpt-4o-mini",
    messages=[{"role": "user", "content": "Hello"}],
    max_tokens=100,
)

Per-User Budget Enforcement

python
import sqlite3, time

def init_team_db(db_path: str = "team_usage.db"):
    conn = sqlite3.connect(db_path)
    conn.execute("""
        CREATE TABLE IF NOT EXISTS user_usage (
            user_id TEXT NOT NULL,
            date TEXT NOT NULL,
            total_cost REAL DEFAULT 0,
            request_count INTEGER DEFAULT 0,
            PRIMARY KEY (user_id, date)
        )
    """)
    conn.execute("""
        CREATE TABLE IF NOT EXISTS user_budgets (
            user_id TEXT PRIMARY KEY,
            daily_limit REAL NOT NULL,
            model_allowlist TEXT  -- JSON array of allowed model IDs
        )
    """)
    conn.commit()
    return conn

def check_user_budget(conn, user_id: str) -> bool:
    """Check if user is within their daily budget."""
    today = time.strftime("%Y-%m-%d")
    row = conn.execute(
        "SELECT u.total_cost, b.daily_limit FROM user_usage u "
        "JOIN user_budgets b ON u.user_id = b.user_id "
        "WHERE u.user_id = ? AND u.date = ?",
        (user_id, today),
    ).fetchone()

    if not row:
        return True  # No usage yet today
    return row[0] < row[1]

def record_user_usage(conn, user_id: str, cost: float):
    """Record a request's cost for a user."""
    today = time.strftime("%Y-%m-%d")
    conn.execute(
        """INSERT INTO user_usage (user_id, date, total_cost, request_count)
           VALUES (?, ?, ?, 1)
           ON CONFLICT(user_id, date) DO UPDATE SET
           total_cost = total_cost + ?, request_count = request_count + 1""",
        (user_id, today, cost, cost),
    )
    conn.commit()

Team Usage Report

python
def team_usage_report(conn) -> list[dict]:
    """Generate a team usage report for the current week."""
    rows = conn.execute("""
        SELECT u.user_id, SUM(u.total_cost) as weekly_cost,
               SUM(u.request_count) as requests,
               b.daily_limit
        FROM user_usage u
        JOIN user_budgets b ON u.user_id = b.user_id
        WHERE u.date >= date('now', '-7 days')
        GROUP BY u.user_id
        ORDER BY weekly_cost DESC
    """).fetchall()

    return [
        {
            "user": row[0],
            "weekly_cost": round(row[1], 4),
            "requests": row[2],
            "daily_limit": row[3],
        }
        for row in rows
    ]

Team Key Dashboard Script

bash
#!/bin/bash
# Show all team keys with usage

echo "=== OpenRouter Team Keys ==="
curl -s https://openrouter.ai/api/v1/keys \
  -H "Authorization: Bearer $OPENROUTER_MGMT_KEY" | \
  jq -r '.data[] | "\(.name)\t$\(.usage // 0 | tostring)\t/\t$\(.limit // "unlimited" | tostring)"' | \
  column -t -s $'\t'

echo ""
echo "=== Total Usage ==="
curl -s https://openrouter.ai/api/v1/keys \
  -H "Authorization: Bearer $OPENROUTER_MGMT_KEY" | \
  jq '.data | map(.usage // 0) | add | "Total spend: $\(.)"'

Model Governance

python
# Define which models each tier can use
MODEL_ALLOWLISTS = {
    "free": ["google/gemma-2-9b-it:free"],
    "basic": ["openai/gpt-4o-mini", "meta-llama/llama-3.1-8b-instruct"],
    "pro": ["openai/gpt-4o-mini", "openai/gpt-4o", "anthropic/claude-3.5-sonnet"],
    "enterprise": None,  # None = all models allowed
}

def enforce_model_policy(user_tier: str, requested_model: str) -> str:
    """Enforce model allowlist based on user tier."""
    allowlist = MODEL_ALLOWLISTS.get(user_tier)
    if allowlist is None:
        return requested_model  # Enterprise: unrestricted
    if requested_model in allowlist:
        return requested_model
    # Downgrade to best allowed model
    return allowlist[-1]

Output

  • Per-member API keys (sk-or-v1-..., shown once at creation) plus key_hash records carrying name, usage, and credit limit
  • A team_usage.db sqlite database with per-user daily total_cost and request_count rows plus per-user budgets and model allowlists
  • A columnar key dashboard from the curl + jq script: key name, spend, and limit per row, plus a total-spend line
  • A weekly team usage report list sorted by weekly_cost, one dict per user with requests and daily limit
Show full SKILL.md (176 more words)Show less

Examples

Provision keys for three team members with a $50 credit limit each:

python
for member in ["alice-backend", "bob-frontend", "carol-ml"]:
    key_info = create_team_key(member, credit_limit=50.0)
    print(f"Created key for {member}: {key_info['key'][:20]}...")
# Created key for alice-backend: sk-or-v1-a1b2c3d4e5...
# Created key for bob-frontend: sk-or-v1-f6a7b8c9d0...
# Created key for carol-ml: sk-or-v1-e1f2a3b4c5...

Each key value is only returned once — store it securely and keep the hash for revocation. More worked examples: references/examples.md.

Error Handling

ErrorCauseFix
Management key 403Using API key instead of management keyManagement keys are separate -- create one at openrouter.ai/keys
User exceeds budgetNo per-user limits setCreate individual keys with credit limits
Attribution missingNo X-Title headerEnforce header in shared client wrapper
Key sprawlToo many keys to trackImplement key lifecycle management; revoke unused keys

Enterprise Considerations

  • Use management keys for programmatic key provisioning -- they can create/list/delete API keys but cannot make completions
  • Set per-key credit limits to prevent any single user from exhausting shared budget
  • Use X-Title header with user identifiers for dashboard-level attribution
  • Implement model allowlists per user tier to control access to expensive models
  • Build weekly usage reports for cost visibility and anomaly detection
  • Rotate team keys on a schedule; revoke keys for departed team members immediately

References

© jeremylongshore, 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 8 other files (references) in skills/.curated/openrouter-team-setup of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/access-control.md
  • references/api-key-strategy-for-teams.md
  • references/budget-management.md
  • references/errors.md
  • references/examples.md
  • references/shared-services-setup.md
  • references/team-configuration.md
  • references/tracking-by-user.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

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FreeRide Free Model ManagerShaivpidadi/FreeRide2382 repos~1.1kAutomated safety check: PassNone
Using Ccproxy Inspectorstarbaser/ccproxy350—~2.7kAutomated safety check: PassCustom licence
Outsourcereralexgreensh/outsourcerer171—~5.5kAutomated safety check: NotesCustom licence
Pinme LLMglitternetwork/pinme3.8k—~2.8kAutomated safety check: PassMIT

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Questions about Openrouter Team Setup

What does Openrouter Team Setup do?

Configure OpenRouter for multi-user teams with per-user keys, budget controls, and usage attribution. Openrouter Team Setup is an agent skill from jeremylongshore/tons-of-skills-marketplace. Configure OpenRouter for multi-user teams with per-user keys, budget controls, and usage attribution.

When should I use Openrouter Team Setup?

Openrouter Team Setup fits situations like: tasks that involve Model routing and gateways.

How do I install Openrouter Team Setup in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill openrouter-team-setup -a claude-code`. Or copy the skill folder (skills/.curated/openrouter-team-setup in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/openrouter-team-setup in your project. Claude Code loads it when a task matches its description.

How do I install Openrouter Team Setup in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill openrouter-team-setup -a codex`. Or copy the skill folder (skills/.curated/openrouter-team-setup in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/openrouter-team-setup in your project. Codex loads it when a task matches its description.

Can I use Openrouter Team Setup 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 jeremylongshore/tons-of-skills-marketplace --skill openrouter-team-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openrouter-team-setup, .gemini/skills/openrouter-team-setup, .github/skills/openrouter-team-setup and .opencode/skills/openrouter-team-setup in your project.

What does Openrouter Team Setup need to run?

Going by SKILL.md and its folder, Openrouter Team Setup needs the command-line tools its instructions call (curl and jq) and credentials named OPENROUTER_MGMT_KEY, MGMT_KEY and OPENROUTER_API_KEY. Our summary lists: Python 3; A credential in OPENROUTER_MGMT_KEY; A credential in OPENROUTER_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Bash(python3:*), Bash(curl:*), Bash(jq:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Openrouter Team Setup access the network?

SKILL.md names 1 domain. In commands or code: openrouter.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Openrouter Team Setup 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 Openrouter Team Setup use?

Openrouter Team Setup is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Openrouter Team Setup use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.9k tokens, read only when the agent opens those files.

What are the alternatives to Openrouter Team Setup?

Skills that share tags, products or a category with Openrouter Team Setup: Embeddings via 9Router (decolua/9router, 31k stars), FreeRide Free Model Manager (Shaivpidadi/FreeRide, 238 stars), Using Ccproxy Inspector (starbaser/ccproxy, 350 stars) and Outsourcerer (alexgreensh/outsourcerer, 171 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Openrouter Team Setup?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.