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-trust-buildinggit 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-trust-building)<a href="https://agentmods.dev/skills/calionauta/stelow/stelow-product-trust-building"><img src="https://agentmods.dev/badge/skills/calionauta/stelow/stelow-product-trust-building/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-trust-building"><img src="https://agentmods.dev/badge/skills/calionauta/stelow/stelow-product-trust-building.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 | $0.01785 |
| Opus 5.5 | $0.00016 | $0.00714 |
| Sonnet 5.5 | $0.00008 | $0.00357 |
| Haiku 4.5 | $0.00004 | $0.00178 |
Grade A, and why
stelow-product-trust-building 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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Building Trust: Perception and Guarantee
(Trust pillars, guarantees and bonuses in this skill draw on Alex Hormozi — $100M Leads and $100M Offers.)
Increasing Success Perception
When someone seeks us out, they carry the weight of past experiences, skepticism, and the fear of making the wrong decision once again. The person is not just asking themselves "does this work?", but rather "will this work for me?".
Ten Pillars to Materialize Trust
- Your own story: showing that you've already walked the path the person wants to travel.
- Others' stories: showing that other people succeeded in accomplishing (testimonials and depositions).
- Proof volume: presenting the number of positive reviews or the quantity of people you've already helped.
- Formal validation: displaying certifications and training that legitimize your knowledge on the subject.
- Data and research: using statistics to anchor the promise of results in evidence.
- Expert endorsement: showing that other reference figures in the field attest to your credibility.
- Public figure endorsement: celebrities and influencers that the person trusts and who recommend you.
- Contextual empathy: describing the person's situation or challenge with such a level of detail that they feel deeply understood.
- A new mechanism: presenting a unique approach or feature that the person hasn't tried yet, opening the possibility that "this time, it might work".
- Practical demonstration: showing the result happening, either live or in a recording, to make success tangible.
Guarantee Commitment
Trust manifests here in a deeper way: not in more gain promises, but in the removal of loss risk. Subtracting fear becomes more powerful than adding one more benefit.
Unconditional Guarantee
The most radical form of removing friction. The message: "I'm not asking you to say yes or no today, but to make an informed decision. Both choices are risk-free, but only one of them can help you reach your purpose." The responsibility for risk is fully absorbed by whoever offers the help.
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 · +2 lines 6b6a4b530a10
- 14d ago Changed · +5 lines f4103c34d858
- 1mo ago Changed 9bc8d4e7c7a3
- 1mo ago Changed · +6 lines 7bfa8b63822c
- 1mo ago Changed · +18 lines 502cc2316bf6
- 1mo ago Changed · +7 lines 1c9a8220442a
- 1mo ago Changed · +22 lines 09472fea66dd
- 2mo ago First seen · 114 lines · 40 tokens per session scan A b9f887671c2f
stelow-product-trust-building 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 1,785 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-trust-building compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| stelow-product-trust-buildingcalionauta/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 |