telecommunications-expert

telecommunications-expert is a skill for Claude Code from personamanagmentlayer/pcl. It costs 67 tokens per session (3,081 once invoked), scanned A, original, Apache-2.0.

A guide to telecommunications software and infrastructure, including mobile networks, fibre, network equipment, billing, and service operations. It covers technologies such as 4G, 5G, software-defined networking, and network monitoring.

In plain words
What is it for?
Use it to design network-management, billing, provisioning, service-assurance, and connectivity systems, including integrations with telecom protocols and equipment.
Why use it?
It helps developers understand the systems that connect, provision, monitor, and charge for communication services.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to design network-management, billing, provisioning, service-assurance, and connectivity systems, including integrations with telecom protocols and equipment.

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Install with agentmods
npx agentmods add skills/personamanagmentlayer/pcl/telecommunications-expert
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 personamanagmentlayer/pcl --skill telecommunications-expert
Clone the repo
git clone --depth 1 https://github.com/personamanagmentlayer/pcl

Made for: Claude Code.

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 telecommunications-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/telecommunications-expert/github.svg)](https://agentmods.dev/skills/personamanagmentlayer/pcl/telecommunications-expert)
Your own site
<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/telecommunications-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/telecommunications-expert/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 telecommunications-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/telecommunications-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/telecommunications-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,081 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. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk pass 15 Feb 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00067 $0.03081
Opus 5 $0.00034 $0.01541
Sonnet 5 $0.00013 $0.00616
Haiku 4.5 $0.00007 $0.00308

Measured 5d ago against content hash 998e68608ac7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

telecommunications-expert 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.

stdlib/domains/telecommunications-expert/SKILL.md · 442 lines

How it starts

The opening of the file, as written. The whole thing — 442 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Telecommunications Expert

Expert guidance for telecommunications systems, network management, billing systems, 5G networks, SDN/NFV, and telecom infrastructure management.

Core Concepts

Telecommunications Systems

  • Operations Support Systems (OSS)
  • Business Support Systems (BSS)
  • Network Management Systems (NMS)
  • Service Assurance
  • Inventory Management
  • Provisioning systems
  • Customer care platforms

Network Technologies

  • 5G/4G/LTE networks
  • Fiber optic networks
  • Software-Defined Networking (SDN)
  • Network Functions Virtualization (NFV)
  • Edge computing
  • IoT connectivity
  • Satellite communications

Standards and Protocols

  • 3GPP standards
  • TM Forum Frameworx
  • ETSI specifications
  • ITU-T recommendations
  • SIP (Session Initiation Protocol)
  • Diameter protocol
  • SNMP for network management

Billing System

from decimal import Decimal

@dataclass
class Subscriber:
    """Telecom subscriber"""
    subscriber_id: str
    account_number: str
    name: str
    phone_number: str
    email: str
    address: dict
    plan_id: str
    status: str  # 'active', 'suspended', 'terminated'
    activation_date: datetime

@dataclass
class ServicePlan:
    """Service plan/package"""
    plan_id: str
    name: str
    description: str
    monthly_fee: Decimal
    data_allowance_gb: float
    voice_minutes: int
    sms_count: int
    overage_rates: dict

@dataclass
class UsageRecord:
    """Usage record for billing"""
    record_id: str
    subscriber_id: str
    usage_type: str  # 'voice', 'sms', 'data'
    timestamp: datetime
    quantity: float
    unit: str
    destination: Optional[str]
    charged: bool

class BillingSystem:
    """Telecom billing and charging system"""

    def __init__(self):
        self.subscribers = {}
        self.service_plans = {}
        self.usage_records = []
        self.invoices = []

    def process_usage(self, usage: UsageRecord) -> dict:
        """Process usage record for charging"""
        subscriber = self.subscribers.get(usage.subscriber_id)
        if not subscriber:
            return {'error': 'Subscriber not found'}

        if subscriber.status != 'active':
            return {'error': 'Subscriber not active'}

        plan = self.service_plans.get(subscriber.plan_id)
        if not plan:
            return {'error': 'Service plan not found'}

        # Check if usage is within plan allowance
        current_usage = self._get_current_month_usage(usage.subscriber_id, usage.usage_type)

        charge = Decimal('0')

        if usage.usage_type == 'data':
            if current_usage > plan.data_allowance_gb:
                # Overage charges
                overage_gb = usage.quantity
                charge = Decimal(str(overage_gb)) * plan.overage_rates['data_per_gb']

        elif usage.usage_type == 'voice':
            if current_usage > plan.voice_minutes:
                # Overage charges
                overage_minutes = usage.quantity
                charge = Decimal(str(overage_minutes)) * plan.overage_rates['voice_per_minute']

        elif usage.usage_type == 'sms':
            if current_usage > plan.sms_count:
                # Overage charges
                overage_sms = usage.quantity
                charge = Decimal(str(overage_sms)) * plan.overage_rates['sms_per_message']

        usage.charged = True
        self.usage_records.append(usage)

        return {
            'subscriber_id': usage.subscriber_id,
            'usage_type': usage.usage_type,
            'quantity': usage.quantity,
            'charge': float(charge),
            'within_allowance': charge == 0
        }

    def generate_invoice(self, subscriber_id: str, billing_period: tuple) -> dict:
        """Generate monthly invoice"""
        subscriber = self.subscribers.get(subscriber_id)
        if not subscriber:
            return {'error': 'Subscriber not found'}

        plan = self.service_plans.get(subscriber.plan_id)
        start_date, end_date = billing_period

        # Base charges
        monthly_fee = plan.monthly_fee

        # Usage charges
        period_usage = [
            u for u in self.usage_records
            if u.subscriber_id == subscriber_id and
            start_date <= u.timestamp <= end_date
        ]

        usage_charges = self._calculate_usage_charges(period_usage, plan)

        # Taxes (simplified)
        subtotal = monthly_fee + usage_charges['total']
        tax_rate = Decimal('0.10')  # 10%
        taxes = subtotal * tax_rate

        total = subtotal + taxes

        invoice = {
            'invoice_id': self._generate_invoice_id(),
            'subscriber_id': subscriber_id,
            'account_number': subscriber.account_number,
            'billing_period': {
                'start': start_date.isoformat(),
                'end': end_date.isoformat()
            },
            'charges': {
                'monthly_fee': float(monthly_fee),
                'data_charges': float(usage_charges['data']),
                'voice_charges': float(usage_charges['voice']),
                'sms_charges': float(usage_charges['sms']),
                'other_charges': float(usage_charges['other'])
            },
            'subtotal': float(subtotal),
            'taxes': float(taxes),
            'total': float(total),
            'due_date': (end_date + timedelta(days=15)).isoformat()
        }

        self.invoices.append(invoice)

        return invoice

    def _get_current_month_usage(self, subscriber_id: str, usage_type: str) -> float:
        """Get current month usage for subscriber"""
        current_month_start = datetime.now().replace(day=1, hour=0, minute=0, second=0)

        usage = [
            u for u in self.usage_records
            if u.subscriber_id == subscriber_id and
            u.usage_type == usage_type and
            u.timestamp >= current_month_start
        ]

        total = sum(u.quantity for u in usage)
        return total

    def _calculate_usage_charges(self,
                                usage_records: List[UsageRecord],
                                plan: ServicePlan) -> dict:
        """Calculate usage charges"""
        charges = {
            'data': Decimal('0'),
            'voice': Decimal('0'),
            'sms': Decimal('0'),
            'other': Decimal('0'),
            'total': Decimal('0')
        }

        # Group usage by type
        data_usage = sum(u.quantity for u in usage_records if u.usage_type == 'data')
        voice_usage = sum(u.quantity for u in usage_records if u.usage_type == 'voice')
        sms_usage = sum(u.quantity for u in usage_records if u.usage_type == 'sms')

        # Calculate overage charges
        if data_usage > plan.data_allowance_gb:
            overage = data_usage - plan.data_allowance_gb
            charges['data'] = Decimal(str(overage)) * plan.overage_rates['data_per_gb']

        if voice_usage > plan.voice_minutes:
            overage = voice_usage - plan.voice_minutes
            charges['voice'] = Decimal(str(overage)) * plan.overage_rates['voice_per_minute']

        if sms_usage > plan.sms_count:
            overage = sms_usage - plan.sms_count
            charges['sms'] = Decimal(str(overage)) * plan.overage_rates['sms_per_message']

        charges['total'] = sum([charges['data'], charges['voice'], charges['sms'], charges['other']])

        return charges

    def _generate_invoice_id(self) -> str:
        import uuid
        return f"INV-{uuid.uuid4().hex[:10].upper()}"

Read the full file on GitHub · 442 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. 5d ago Changed · -267 lines · +42 tokens per session 998e68608ac7
  2. 7d ago First seen · 709 lines · 25 tokens per session scan A 7546a6bfdfed

Subscribe to this mod's changes

telecommunications-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed 3d ago), licensed Apache-2.0. It adds 67 tokens to every session and 3,081 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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