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 calionauta/stelow --skill stelow-product-promotionsgit clone --depth 1 https://github.com/calionauta/stelowWrote 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/calionauta/stelow/stelow-product-promotions)<a href="https://agentmods.dev/skills/calionauta/stelow/stelow-product-promotions"><img src="https://agentmods.dev/badge/skills/calionauta/stelow/stelow-product-promotions/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/calionauta/stelow/stelow-product-promotions"><img src="https://agentmods.dev/badge/skills/calionauta/stelow/stelow-product-promotions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00040 | $0.02372 |
| Opus 5.5 | $0.00016 | $0.00949 |
| Sonnet 5.5 | $0.00008 | $0.00474 |
| Haiku 4.5 | $0.00004 | $0.00237 |
Grade A, and why
stelow-product-promotions 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 10d 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Promotions for Launch
A simple offer, but communicated unequivocally, tends to work better than a brilliant offer that nobody understands.
MAGIC Structure
(Concept adapted from Alex Hormozi — $100M Offers)
M (Magnet → Reason): what is the magnetic reason for this offer to exist now? (discount, special launch condition, seasonal offer) Creates the context.
A (Avatar → Avatar): who is this offer for? Naming the audience helps the person immediately identify. (small business owners? writers? those seeking a healthy lifestyle?)
G (Goal → Purpose): what is the desired outcome the person can achieve? It's not a guarantee, but the direction, the purpose. (clarity in business? launching a product?)
I (Interval → Timeframe): in how much time or for how long? Defines a temporal horizon that makes the promise more concrete. (30 days? 6 weeks? a single meeting?)
C (Container → Packaging): what is the "packaging" of the offer? A word that gives shape to the experience and helps make it tangible. (a program, a blueprint, a workshop, a mentoring, a consulting)
4 Promotion Strategies for Launch
Strategy 1: The Loss Leader
Drastically reduce the entry barrier so a new customer can experience your work. You offer an initial product or service with a calculated loss, knowing that a portion of these customers will purchase higher-value solutions in the future.
- Reason (M): give an accessible first step to experience a high-impact solution
- Avatar (A): small business owners who need an initial boost and have a limited budget
- Purpose (G): unlock a specific area of the business and know the potential of deeper work
- Interval (I): visible results in the first session or within a few days
- Container (C): initial consulting with 80% discount to unlock the business
Tactical Examples:
- Unbundle: offer a part of your main service (a diagnostic session) with a real and significant discount.
- Next step (upsell): at the end of the session, present a clear path to continue the work (full package), perhaps with a small discount for those who decide on the spot.
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.
- 10d ago Changed · +32 lines 8747df9a3c37
- 14d ago Changed · +5 lines b7c597257fdd
- 1mo ago Changed c9945a141bae
- 1mo ago Changed · +6 lines 7ace34514c43
- 1mo ago Changed · +18 lines 970061446c1b
- 1mo ago Changed · +7 lines d58d450a6010
- 1mo ago Changed · +22 lines a5fdcfa4024b
- 2mo ago First seen · 138 lines · 40 tokens per session scan A fb55c51b0285
stelow-product-promotions is a skill published in the GitHub repository calionauta/stelow (14 stars, last pushed 9d ago), licensed MIT. It adds 40 tokens to every session and 2,372 once invoked, about $0.0002 per session on Opus 5.5. 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.
stelow-product-promotions compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| stelow-product-promotionscalionauta/stelow | Skill | 14 | 9d ago | MIT | A | 40 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |