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.
npx skills add j4flmao/agent-skills --skill sms-messaginggit clone --depth 1 https://github.com/j4flmao/agent-skillsWrote 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.
[](https://agentmods.dev/skills/j4flmao/agent-skills/sms-messaging)<a href="https://agentmods.dev/skills/j4flmao/agent-skills/sms-messaging"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/sms-messaging/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.
<a href="https://agentmods.dev/skills/j4flmao/agent-skills/sms-messaging"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/sms-messaging.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 563 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00057 | $0.05005 |
| Opus 5 | $0.00028 | $0.02502 |
| Sonnet 5 | $0.00011 | $0.01001 |
| Haiku 4.5 | $0.00006 | $0.00500 |
Grade A, and why
backend-sms-messaging 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 587 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SMS Messaging Skill
Purpose
Build reliable, compliant SMS and messaging systems supporting transactional messages, 2FA delivery, WhatsApp integration, and comprehensive delivery tracking.
Agent Protocol
Trigger
User mentions SMS, text messaging, Twilio, AWS SNS, Vonage, WhatsApp API, 2FA via SMS, OTP delivery, message templates, TCPA compliance, opt-in/out, SMS delivery tracking, or messaging analytics.
Input Context
- SMS provider selection and credentials
- Message types (transactional, 2FA, notifications, alerts)
- Volume estimates and sending quotas
- Compliance requirements (TCPA, GDPR, local regulations)
- WhatsApp Business API requirements (template approval, opt-in)
- Fallback channel requirements
- International sending needs
Output Artifact
SKILL.md adherence document plus implemented messaging service, provider integration, template management, delivery tracking, and compliance handling.
Response Format
No preamble. No postamble. No explanations. No filler/hedging/transitions. Compress output — why use many token when few do trick.
Completion Criteria
- SMS provider integrated with failover/secondary provider
- Message template system with variable injection implemented
- 2FA OTP generation, delivery, verification flow operational
- Rate limiting per recipient, per number, per campaign enforced
- Opt-in/opt-out mechanism with consent record storage
- Delivery status tracking (sent, delivered, failed, undelivered)
- WhatsApp Business API integration with approved templates
- Cost tracking and budget alerts configured
- Fallback channel (SMS -> Voice -> Email) implemented
- Compliance documentation (TCPA, GDPR) generated
Max Response Length
4096 tokens
Workflow
- Provider Abstraction: Unified interface over multiple providers with failover.
interface MessageProvider {
name: string;
send(params: SendParams): Promise<SendResult>;
getStatus(messageId: string): Promise<DeliveryStatus>;
getBalance(): Promise<number>;
}
class MessagingService {
private providers: MessageProvider[];
constructor(primary: MessageProvider, secondary: MessageProvider) {
this.providers = [primary, secondary];
}
async send(params: SendParams): Promise<SendResult> {
const errors: Error[] = [];
for (const provider of this.providers) {
try {
const result = await provider.send(params);
await this.recordMessage({ ...params, provider: provider.name, messageId: result.messageId });
return result;
} catch (error) {
errors.push(error);
await this.recordFailover(params, provider.name, error.message);
}
}
throw new AggregateError(errors, 'All message providers failed');
}
private async recordMessage(data: MessageRecord): Promise<void> {
await MessageLog.create({
to: data.to,
from: data.from,
body: data.body,
provider: data.provider,
messageId: data.messageId,
status: 'sent',
sentAt: new Date(),
type: data.type,
});
}
}
What ships with it
8 files 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.
- references/2fa-sms.md 12 KB
- references/compliance-analytics.md 14 KB
- references/sms-messaging-advanced.md 12 KB
- references/sms-messaging-fundamentals.md 11 KB
- references/sms-messaging-monitoring.md 7.6 KB
- references/sms-messaging-testing.md 7.5 KB
- references/sms-providers.md 12 KB
- references/whatsapp-api.md 14 KB
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.
- 9d ago First seen · 587 lines · 57 tokens per session scan A b37603269e39
backend-sms-messaging is a skill published in the GitHub repository j4flmao/agent-skills (22 stars, last pushed 3d ago), licensed MIT. It adds 57 tokens to every session and 5,005 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 2026-08-30.
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