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-adsgit 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-ads)<a href="https://agentmods.dev/skills/calionauta/stelow/stelow-product-ads"><img src="https://agentmods.dev/badge/skills/calionauta/stelow/stelow-product-ads/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-ads"><img src="https://agentmods.dev/badge/skills/calionauta/stelow/stelow-product-ads.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 | $0.00037 | $0.02087 |
| Opus 5.5 | $0.00015 | $0.00835 |
| Sonnet 5.5 | $0.00007 | $0.00417 |
| Haiku 4.5 | $0.00004 | $0.00209 |
Grade A, and why
stelow-product-ads 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 14d 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 — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Communication: Ads for Online Placement
The solution's audience can be in 5 stages according to the Transtheoretical Model of Change:
5 Stages
1. Pre-contemplation (Ignorance): people who are not yet aware of the problem or that their life can be better.
- Focus: raise awareness about the problem and its impacts, showing how life can be better if the problem is solved
- Communication: highlight the benefits of a life without the problem, without directly mentioning the solution. Use stories, examples, and testimonials to generate identification and awaken interest.
- Calls to action: engage with your brand (like, comment, download free material, follow on social media, subscribe to receive news) to nurture the relationship and increase awareness about the problem
2. Contemplation (Awareness): people who are aware of the problem and its urgencies, but haven't yet decided to seek a solution or don't know that one is available.
- Focus: present your solution as an answer to the audience's urgencies, showing how it can solve the problem and improve people's lives
- Communication: explain the benefits of your solution clearly and concisely, using testimonials, case studies, and demonstrations to prove its effectiveness
- Calls to action: invite the audience to learn more about the solution, offering access to informative content, webinars, free demonstrations, or initial consultations
3. Preparation: people who have already decided to seek a solution and are preparing to act.
- Focus: help the audience prepare for change, providing detailed information, clarifying doubts, and assisting in planning next steps
- Communication: offer educational content, step-by-step guides, planning tools, benefit calculators, and testimonials from customers who have successfully gone through the preparation phase
- Calls to action: encourage the next step — schedule a consultation, request a quote, or enroll in a coaching program
4. Action: people who are implementing the change and using your solution.
- Focus: offer support and encouragement so the audience stays motivated and overcomes change challenges
- Communication: maintain regular contact with customers, offering tips, reminders, additional resources, and personalized follow-up. Create an environment of support and celebration of achievements.
- Calls to action: encourage continuing to use the solution, share progress, and provide feedback on the experience
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.
- 14d ago Changed · +14 lines 1fba6123c2c7
- 1mo ago Changed · +6 lines e06d4099fa4f
- 1mo ago Changed · +21 lines 3d8ac2642e12
- 1mo ago Changed · +8 lines d8bfe22719ed
- 1mo ago Changed · +22 lines 4d2e9be97d02
- 2mo ago First seen · 119 lines · 37 tokens per session scan A e7d5f847d3f0
stelow-product-ads is a skill published in the GitHub repository calionauta/stelow (14 stars, last pushed 9d ago), licensed MIT. It adds 37 tokens to every session and 2,087 once invoked, about $0.0001 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-ads compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| stelow-product-adscalionauta/stelow | Skill | 14 | 9d ago | MIT | A | 37 | 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 |