Frappe Impl Whitelisted logo

Frappe Impl Whitelisted

Organization
Impertio-Studio
frappe-impl-whitelisted

Use when building API endpoints with @frappe.whitelist() in Frappe. Covers endpoint design, permission patterns, error handling, client integration, file uploads, background jobs, rate limiting, REST API testing, and migration from Server Scripts to whitelisted methods. Prevents permission bypasses, SQL injection, and data exposure. Keywords: how to create API, build REST endpoint, frappe.call,, create API endpoint, call from frontend, custom API, REST endpoint, how to call python from JS. frappe.whitelist, API permission, guest API, secure endpoint, rate limiting, curl testing, frm.call.

Overview

PublisherImpertio-Studio
RepositoryFrappe_Claude_Skill_Package
Skill namefrappe-impl-whitelisted
Stars
180
Forks
53
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Impertio-Studio on GitHub. Read the source before you install it.

Installation

Install the Frappe Impl Whitelisted AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Impertio-Studio/Frappe_Claude_Skill_Package.git /tmp/Frappe_Claude_Skill_Package
mkdir -p .claude/skills
cp -r /tmp/Frappe_Claude_Skill_Package/skills/source/impl/frappe-impl-whitelisted .claude/skills/frappe-impl-whitelisted
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Frappe Impl Whitelisted in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Frappe Impl Whitelisted on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Frappe Impl Whitelisted is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Frappe Whitelisted Methods Implementation Workflow

Step-by-step workflows for building API endpoints. For decorator syntax, see frappe-syntax-whitelisted.

Version: v14/v15/v16 (version-specific features noted)


Master Decision: What Type of Endpoint?

WHAT ARE YOU BUILDING?
├─► Public API (no login required)?
│   └─► allow_guest=True + STRICT input validation + rate limiting
├─► Authenticated API for logged-in users?
│   └─► Default @frappe.whitelist() + document permission checks
├─► Admin-only API?
│   └─► frappe.only_for("System Manager")
├─► Document-specific method (called from form)?
│   └─► Controller method + frm.call() from JS
├─► Standalone utility API?
│   └─► Separate api.py + frappe.call() from JS
├─► External webhook receiver?
│   └─► allow_guest=True + signature verification
└─► Background job trigger?
    └─► Authenticated API that calls frappe.enqueue()

Workflow 1: Design the Endpoint

Step 1: Choose Location

WHERE SHOULD THE CODE LIVE?
├─► Related to a DocType, called from its form?
│   └─► doctype/xxx/xxx.py (controller method)
│       Client: frm.call('method_name', args)
├─► Related to a DocType, standalone?
│   └─► doctype/xxx/xxx_api.py or myapp/api/module.py
│       Client: frappe.call('myapp.api.module.method')
├─► General app utility?
│   └─► myapp/api.py (small app) or myapp/api/module.py (large app)
└─► External integration?
    └─► myapp/integrations/service_name.py

Step 2: Choose Permission Model

WHO CAN CALL THIS API?
├─► Anyone (public) → allow_guest=True
│   ⚠️ MUST validate ALL input, sanitize for XSS, rate limit
├─► Any logged-in user → Default (no allow_guest)
│   Still check document permissions per record!
├─► Specific role(s) → frappe.only_for("Role")
└─► Document-level → frappe.has_permission(doctype, ptype, doc)

Step 3: Choose HTTP Method

WHAT DOES THE API DO?
├─► Read-only → methods=["GET"]
├─► Creates/modifies data → methods=["POST"]
└─► Both or default → omit methods parameter (all allowed)

Workflow 2: Implement an Authenticated API

Step-by-Step

Step 1: Create the function

python
# myapp/api.py
import frappe
from frappe import _

@frappe.whitelist()
def get_customer_balance(customer):
    """Get outstanding balance for a customer."""
    # 1. Permission check
    if not frappe.has_permission("Customer", "read", customer):
        frappe.throw(_("Not permitted"), frappe.PermissionError)

    # 2. Validate input
    if not customer or not frappe.db.exists("Customer", customer):
        frappe.throw(_("Customer not found"), frappe.DoesNotExistError)

    # 3. Fetch and return
    balance = frappe.db.sql("""
        SELECT COALESCE(SUM(outstanding_amount), 0)
        FROM `tabSales Invoice`
        WHERE customer = %s AND docstatus = 1
    """, customer)[0][0]

    return {"customer": customer, "balance": balance}

Step 2: Call from Client Script

javascript
frappe.call({
    method: 'myapp.api.get_customer_balance',
    args: { customer: 'CUST-00001' },
    callback(r) {
        if (r.message) console.log(r.message.balance);
    }
});

Step 3: Test with curl

bash
# Authenticate first
curl -X POST https://site.com/api/method/login \
  -d 'usr=admin&pwd=password'

# Call the API
curl -X POST https://site.com/api/method/myapp.api.get_customer_balance \
  -H "Content-Type: application/json" \
  -d '{"customer": "CUST-00001"}' \
  --cookie cookies.txt

# Or use token auth
curl -X POST https://site.com/api/method/myapp.api.get_customer_balance \
  -H "Authorization: token api_key:api_secret" \
  -H "Content-Type: application/json" \
  -d '{"customer": "CUST-00001"}'

Workflow 3: Implement a Public (Guest) API

Step-by-Step

Step 1: Create with strict validation

python
@frappe.whitelist(allow_guest=True, methods=["POST"])
def submit_inquiry(name, email, phone=None, message=None):
    """Public contact form — strict validation required."""
    # 1. Validate required fields
    if not all([name, email]):
        frappe.throw(_("Name and email are required"))

    # 2. Validate email format
    if not frappe.utils.validate_email_address(email):
        frappe.throw(_("Invalid email address"))

    # 3. Sanitize ALL input
    name = frappe.utils.strip_html(name)[:100]
    email = email.strip().lower()[:200]
    phone = frappe.utils.strip_html(phone)[:20] if phone else None
    message = frappe.utils.strip_html(message)[:2000] if message else None

    # 4. Create record with ignore_permissions
    lead = frappe.get_doc({
        "doctype": "Lead",
        "lead_name": name, "email_id": email,
        "phone": phone, "notes": message, "source": "Website"
    })
    lead.insert(ignore_permissions=True)

    return {"success": True, "message": _("Thank you")}

Step 2: Add rate limiting (v15+)

python
from frappe.rate_limiter import rate_limit

@frappe.whitelist(allow_guest=True, methods=["POST"])
@rate_limit(limit=5, seconds=60)  # 5 calls per minute
def submit_inquiry(name, email, phone=None, message=None):
    ...

Critical Rules for Guest APIs

  • ALWAYS validate and sanitize every input parameter
  • ALWAYS use methods=["POST"] for data-writing endpoints
  • ALWAYS add rate limiting (v15+ decorator or manual cache-based throttle on v14)
  • NEVER expose internal error details — log with frappe.log_error(), show generic message
  • NEVER return sensitive data (internal IDs, file paths, stack traces)
  • NEVER pass raw user input to frappe.get_doc() — use explicit field mapping

Workflow 4: Implement a Controller Method

Step-by-Step

Step 1: Add method to DocType controller

python
# myapp/doctype/sales_order/sales_order.py
class SalesOrder(Document):
    @frappe.whitelist()
    def calculate_shipping(self, carrier):
        """Called from form via frm.call()."""
        if not self.shipping_address:
            frappe.throw(_("Shipping address required"))
        rate = get_shipping_rate(self.shipping_address, carrier)
        return {"carrier": carrier, "rate": rate}

Step 2: Call from form JS

javascript
frm.call('calculate_shipping', {
    carrier: 'FedEx'
}).then(r => {
    frm.set_value('shipping_amount', r.message.rate);
});

Key difference: Frappe automatically checks document permissions for controller methods called via frm.call(). No manual permission check needed for the document itself.


Workflow 5: Implement Error Handling

Standard Pattern

python
@frappe.whitelist()
def process_payment(invoice, amount):
    try:
        # Validate
        if not invoice:
            frappe.throw(_("Invoice required"), frappe.ValidationError)
        if not frappe.has_permission("Sales Invoice", "write", invoice):
            frappe.throw(_("Not permitted"), frappe.PermissionError)

        # Process
        result = do_payment(invoice, float(amount))
        return {"success": True, "data": result}

    except (frappe.ValidationError, frappe.PermissionError):
        raise  # Let Frappe handle (417 / 403)
    except frappe.DoesNotExistError:
        frappe.throw(_("Not found"), frappe.DoesNotExistError)  # 404
    except Exception:
        frappe.log_error(frappe.get_traceback(), "Payment Error")
        frappe.local.response["http_status_code"] = 500
        return {"success": False, "error": _("Internal error")}

HTTP Status Code Reference

CodeFrappe ExceptionWhen
200Success
403PermissionErrorAccess denied
404DoesNotExistErrorNot found
409DuplicateEntryErrorDuplicate
417ValidationErrorValidation failed
429Rate limit exceeded (v15+)
500ExceptionServer error

Workflow 6: File Upload Endpoint

python
@frappe.whitelist()
def upload_attachment(doctype, docname):
    """Handle file upload attached to a document."""
    if not frappe.has_permission(doctype, "write", docname):
        frappe.throw(_("Not permitted"), frappe.PermissionError)

    file = frappe.request.files.get('file')
    if not file:
        frappe.throw(_("No file provided"))

    file_doc = frappe.get_doc({
        "doctype": "File",
        "file_name": file.filename,
        "attached_to_doctype": doctype,
        "attached_to_name": docname,
        "content": file.read(),
        "is_private": 1
    })
    file_doc.insert(ignore_permissions=True)
    return {"file_url": file_doc.file_url}

Workflow 7: Background Job Endpoint

python
@frappe.whitelist()
def start_heavy_export(doctype, filters=None):
    """Trigger a background job — returns immediately."""
    frappe.only_for("System Manager")

    frappe.enqueue(
        "myapp.tasks.export_data",
        queue="long",
        timeout=1500,
        doctype=doctype,
        filters=filters,
        user=frappe.session.user
    )
    return {"status": "queued", "message": _("Export started")}

Client Integration Patterns

frappe.call() with Options

javascript
frappe.call({
    method: 'myapp.api.my_method',
    args: { param: 'value' },
    freeze: true,
    freeze_message: __('Processing...'),
    callback(r) { console.log(r.message); },
    error(r) { frappe.msgprint(__('Error')); }
});

Async/Await Pattern

javascript
const r = await frappe.call({
    method: 'myapp.api.get_data',
    args: { id: 123 }
});
console.log(r.message);

REST API from External System

bash
# Token auth (recommended for integrations)
curl -H "Authorization: token api_key:api_secret" \
  https://site.com/api/method/myapp.api.method

# Bearer auth (OAuth)
curl -H "Authorization: Bearer access_token" \
  https://site.com/api/method/myapp.api.method

Security Rules (ALWAYS/NEVER)

  1. ALWAYS check permissions before accessing any document
  2. ALWAYS use parameterized queries — NEVER use f-strings in SQL
  3. ALWAYS validate and sanitize input for guest APIs
  4. ALWAYS check role with frappe.only_for() before using ignore_permissions=True
  5. NEVER expose internal errors — log details, return generic message
  6. NEVER use methods=["GET"] for endpoints that modify data
  7. NEVER trust data dicts from guest APIs — use explicit parameter names
  8. ALWAYS include X-Frappe-CSRF-Token header in fetch() calls from browser

Migration: Server Script API to Whitelisted Method

StepAction
1Copy Server Script logic to myapp/api/module.py
2Add @frappe.whitelist() decorator with same permission model
3Update all frappe.call() references to new dotted path
4Disable or delete the Server Script
5Run bench --site sitename migrate

Version Differences

Featurev14v15v16
@frappe.whitelist()YesYesYes
allow_guestYesYesYes
methods parameterYesYesYes
Type annotation validationNoYesYes
@rate_limit decoratorNoYesYes
API v2 endpointsNoYesYes

v15+ Type Validation

python
@frappe.whitelist()
def typed_api(customer: str, limit: int = 10) -> dict:
    """v15+ validates types from annotations automatically."""
    return {"customer": customer, "limit": limit}

Reference Files

FileContents
decision-tree.mdComplete API type and permission selection guide
workflows.mdStep-by-step implementation patterns (10+ workflows)
examples.mdProduction-ready code examples

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Frappe Impl Whitelisted AI skill do?

Use when building API endpoints with @frappe.whitelist() in Frappe. Covers endpoint design, permission patterns, error handling, client integration, file uploads, background jobs, rate limiting, REST API testing, and migration from Server Scripts to whitelisted methods. Prevents permission bypasses, SQL injection, and data exposure. Keywords: how to create API, build REST endpoint, frappe.call,, create API endpoint, call from frontend, custom API, REST endpoint, how to call python from JS. frappe.whitelist, API permission, guest API, secure endpoint, rate limiting, curl testing, frm.call.

Why use Frappe Impl Whitelisted on TypingMind?

Because you install it once and use it with any model. Frappe Impl Whitelisted is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Frappe Impl Whitelisted in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Impertio-Studio/Frappe_Claude_Skill_Package/tree/main/skills/source/impl/frappe-impl-whitelisted. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Frappe Impl Whitelisted?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Frappe Impl Whitelisted?

As many as you like. As long as a model supports skills, you can use Frappe Impl Whitelisted with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Frappe Impl Whitelisted AI skill free?

Yes. It is published on GitHub by Impertio-Studio under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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