What is website-domain-research?

A research workflow for understanding a website's business area before designing or redesigning it. It includes reviewing existing domain research, comparing requirements, checking multiple pages, and shaping the site's structure and navigation.

Use it before building websites, landing pages, marketing sites, SaaS sites, online stores, or multi-page navigation structures.

It reduces the risk of designing a generic site or making unsupported assumptions about what the business and its visitors need.

How ashishpatill/tell-proof configures Cursor

Reuse

Borrowing it

Nothing to install: this file belongs to ashishpatill/tell-proof. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/ashishpatill/tell-proof/master/.cursor/skills/website-domain-research/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/ashishpatill/tell-proof

Made for: Cursor.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/ashishpatill/tell-proof/website-domain-research/github.svg)](https://agentmods.dev/skills/ashishpatill/tell-proof/website-domain-research)

Your own site

<a href="https://agentmods.dev/skills/ashishpatill/tell-proof/website-domain-research"><img src="https://agentmods.dev/badge/skills/ashishpatill/tell-proof/website-domain-research/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/ashishpatill/tell-proof/website-domain-research"><img src="https://agentmods.dev/badge/skills/ashishpatill/tell-proof/website-domain-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 115 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 586 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00115	$0.00586
Opus 5	$0.00057	$0.00293
Sonnet 5	$0.00023	$0.00117
Haiku 4.5	$0.00012	$0.00059

Measured 8d ago against content hash 42b8a4d6d37d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

website-domain-research 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 8d 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.

.cursor/skills/website-domain-research/SKILL.md · 61 lines

What it actually says

website-domain-research

Parent research graph for all websites. Sport uses sport-matchday-web (extends this). SaaS/studio/fintech run this then premium-content-custom-web.

Auto-trigger: Always-applied rule tell-domain-research + engine routeSkills prepends this node. Agents must execute the research chain, not skip to craft.

Full graph: agent-skills/web-design/website-domain-research/GRAPH.md
Engine: @tell/design-skills → DomainResearchPack, routeDomainResearchSkills, loadPriorDomain, requirementGapDiff

Non-negotiables

Load prior domain package before planning or capturing
Gap-diff the user requirement — customize / gap-only / full walkthrough; forbid blank-slate when a package exists
Evidence before IA claims — multipage screenshots (and video when possible) for gaps only
Anonymise — no third-party hosts/product names in commits
Emit a training episode every build (tell-design-data / sink — never commit JSONL in Tell)
Always end with Taste Controls when handing off to design

Workflow

1. load-prior-domain
2. requirement-gap-diff  → reuse list + gap list
3. multipage-walkthrough (gaps only) + optional RecordScreen / videoReview
4. category-gap-audit
5. ia-shell-synthesis → DIRECTION.md
6. variant-lens
7. emit-training-episode
8. Hand off to domain design graph (sport-matchday-web | premium-content-custom-web)

Sub-skills

load-prior-domain
requirement-gap-diff
multipage-walkthrough
ia-shell-synthesis
category-gap-audit
variant-lens
emit-training-episode

Prompt

Use website-domain-research.
Domain: <cricket|saas|studio|…>
Requirement: …
Then: gap-diff → walkthrough if needed → DIRECTION → training episode → design graph.

Changes

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.

8d ago First seen · 61 lines · 115 tokens per session scan A 42b8a4d6d37d

Subscribe to this mod's changes

website-domain-research is a skill published in the GitHub repository ashishpatill/tell-proof (1 stars, last pushed 17d ago), licensed MIT. It adds 115 tokens to every session and 586 once invoked, about $0.0006 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 2026-09-03.

Planning Research ai cursor design-critic design-systems developer-tools

requirements-authoring

To author, update, and validate functional/non-functional requirements as atomic units with user approval.

griddynamics/rosetta · 0 tokens

ijfw-workflow

Use when the user says: 'build', 'create', 'plan', 'new project', 'brainstorm', 'design', 'UI', 'website', 'dashboard', 'app', 'help me build', 'launch', 'book', 'campaign', or anything project-level. Skill body decides Quick vs Deep path.

FerroxLabs/ijfw · 70 tokens

ijfw-plan

Use when the user says 'plan this', 'plan it', 'make a plan', 'let's plan', 'draft a plan', 'how should we tackle this', 'break this down', or invokes '/ijfw-plan'. Produces a falsifiable PLAN.md (software, book, campaign, design, research) with task breakdown, dependency wave-table, and success criteria — gated by…

FerroxLabs/ijfw · 95 tokens

ijfw-writing-skills

Authoring discipline for new IJFW skills. Use when creating a new skill, writing a skill, making a skill that does X, or asked to add a skill. Trigger: create a new skill, write a skill, new skill, make me a skill, skill that does, /ijfw-writing-skills.

FerroxLabs/ijfw · 69 tokens

hitl

Rosetta CRITICAL MUST skill to load as Prep Step 3 Step 2 — immediately after orchestrator-contract, right before loading any workflow. Loads the session-wide approval-gate protocol governing when to stop and wait vs proceed. WITHOUT IT decisions proceed silently, violating enterprise policy. Activate it for ALL tasks…

griddynamics/rosetta · 168 tokens

research

To run systematic deep research via meta-prompting — grounded references, incremental tracking, self-validation.

griddynamics/rosetta · 22 tokens

tell-proof: Skill for Cursor