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 dembrandt/dembrandt-skills --skill authentic-product-representationgit clone --depth 1 https://github.com/dembrandt/dembrandt-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/dembrandt/dembrandt-skills/authentic-product-representation)<a href="https://agentmods.dev/skills/dembrandt/dembrandt-skills/authentic-product-representation"><img src="https://agentmods.dev/badge/skills/dembrandt/dembrandt-skills/authentic-product-representation/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/dembrandt/dembrandt-skills/authentic-product-representation"><img src="https://agentmods.dev/badge/skills/dembrandt/dembrandt-skills/authentic-product-representation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00089 | $0.01736 |
| Opus 5 | $0.00044 | $0.00868 |
| Sonnet 5 | $0.00018 | $0.00347 |
| Haiku 4.5 | $0.00009 | $0.00174 |
Grade A, and why
authentic-product-representation 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 13d 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Authentic Product Representation
The fastest way to lose a visitor's trust is a product visual that is obviously staged. People have seen thousands of landing pages; they recognise a fabricated dashboard, a screenshot full of lorem ipsum, or a "terminal" that prints things the real tool never would. The visual that converts is the one that looks like it was screenshotted straight out of the working product — because it was, or because it was built to be indistinguishable from it.
The principle is simple: the visual is the product, not a poster of it. Every shortcut away from that — invented data, decorative chrome, a capability shown that does not exist — is a small withdrawal from the trust account.
This skill governs whether a visual is credible; what it has to accomplish in the page's argument comes from the product narrative framework in [[layout-paradigms-and-consistency]]. A fabricated proof point proves nothing.
Design With Real Content
Idealised placeholder content hides the problems your design will actually face.
- No lorem ipsum. Use real copy, or the closest draft of it. Real words have real lengths, real line-wraps, real awkward edge cases. Latin filler is uniformly tidy in a way your content never will be.
- Real names, real numbers, real lengths. "John Smith / $1,234" is a fantasy dataset. Use the longest realistic name, the account with 0 items, the title that wraps to three lines. If the design only looks good with perfect data, it is not finished.
- Design the empty, loading, error, and overflow states too — they are the product as much as the happy path. A screenshot that only ever shows the full, perfect state is selling a product that does not exist.
If you genuinely cannot use production data, generate the mock from the real schema and the real renderer, so its shape, formatting, and constraints match what ships.
Mirror the Real Output
When a visual stands in for what the product produces — a CLI run, a generated file, a report, a chart, an editor — reproduce the actual format, not a prettier reinterpretation.
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.
- 13d ago First seen · 137 lines · 89 tokens per session scan A d0704ace544c
authentic-product-representation is a skill published in the GitHub repository dembrandt/dembrandt-skills (54 stars, last pushed 2d ago), licensed MIT. It adds 89 tokens to every session and 1,736 once invoked, about $0.0004 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.
Other skills, from other repositories
design-dna
Extract, define, and apply design DNA across three dimensions: design system (tokens), design style (qualitative feel), and visual effects (Canvas, WebGL, 3D, particles, shaders, scroll effects, etc.). Use this skill when: (1) a user wants to see the full 3-dimension design structure/schema, (2) a user provides…
dbim-brand-identity
Use when applying the Government of India's Digital Brand Identity Manual (DBIM) v3 to a website, portal, form, mobile app or social media asset — colours, Noto Sans typography, State Emblem logo lockups, header/footer anatomy, imagery specs, content lifecycle and the compliance checklist. Triggers include "DBIM"…
indian-gov-web-ui
A set of design and accessibility rules for Indian government websites, portals, and administrative panels, including required standards such as GIGW and WCAG.
ux4g-design-system
Use when building or reviewing UI with UX4G — India's official government design system (ux4g.gov.in, cdn.ux4g.gov.in, ux4g-web-components). Covers the v3.0.18 token API, the 52 components, install paths for HTML/React/Angular/Flutter, and the interop hazards. Triggers include "UX4G", "ux4g-web-components"…
gov-service-patterns
Use when designing or building a citizen-facing government service flow — sign-in/OTP/Aadhaar authentication, consent and declaration, multi-step application submission, application/grievance status tracking, fee payment, service search and slot booking, citizen or officer dashboards, notifications, or feedback and…
ui-ux-laws
Priority-ordered rulebook of core UX/UI laws, cognitive-psychology principles, Nielsen's usability heuristics, and accessibility requirements that Claude must actively apply (not just cite) whenever it designs, builds, redesigns, reviews, or critiques any user interface — websites, web/mobile apps, dashboards, forms…