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 JasonColapietro/suede-creator-skills --skill suede-smsgit clone --depth 1 https://github.com/JasonColapietro/suede-creator-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/jasoncolapietro/suede-creator-skills/suede-sms)<a href="https://agentmods.dev/skills/jasoncolapietro/suede-creator-skills/suede-sms"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/suede-sms/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/jasoncolapietro/suede-creator-skills/suede-sms"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/suede-sms.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00107 | $0.04505 |
| Opus 5.5 | $0.00043 | $0.01802 |
| Sonnet 5.5 | $0.00021 | $0.00901 |
| Haiku 4.5 | $0.00011 | $0.00451 |
Grade A, and why
suede-sms 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 today.
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.
This is a copy
86% identical to sms — 196 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 360 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Suede AI SMS Skills
Compatibility
Works from supplied consent, registration, audience, and performance evidence; current legal and carrier checks need web access. No SMS connector or sending account is bundled.
For a concrete input, expected handoff, and failure check, read the worked handoff.
Design consent-aware message programs for commerce, mobile, and SaaS use cases where immediacy can earn its interruption cost. It combines sequence logic, sender identity, cadence, carrier constraints, and measurement without claiming legal certification or sending messages.
Before Starting
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
1. Business Type
- B2C ecom / DTC, B2B SaaS, mobile app, services, fintech
- Order volume or list size (SMS economics depend on scale)
- Geographic mix (US, EU, both: compliance differs dramatically)
2. Current State
- Existing SMS program (platform, list size, opt-in rate, opt-out rate, revenue/send)
- Email program (SMS works best as a layer on top, not a replacement)
- Phone number type: short code, toll-free, long code (10DLC)
- Sequences already running (so a new flow does not double-tap the same contact)
3. Compliance Posture
- US: A2P 10DLC registration complete? (Carriers block unregistered 10DLC traffic outright since February 1, 2025)
- Opt-in mechanism in use? (Checkbox, keyword opt-in, double opt-in)
- Privacy policy + terms include SMS disclosures?
4. Goal
- Drive revenue (promotional, cart recovery, post-purchase)
- Drive activation (welcome, onboarding, milestone nudges)
- Transactional (order updates, auth codes, alerts)
When SMS Beats Email
What ships with it
7 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.
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.
- today Changed · +13 lines · -31 tokens per session a2c96fb41b25
- 3d ago Changed · +29 tokens per session dff43ffd71b5
- 23d ago Changed ad5cdaf9b922
- 1mo ago First seen · 347 lines · 109 tokens per session scan A 614c28517ed6
suede-sms is a skill published in the GitHub repository JasonColapietro/suede-creator-skills (126 stars, last pushed today), licensed MIT. It adds 107 tokens to every session and 4,505 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to sms, differing in 196 lines, and is treated as a copy.
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