Borrowing it
Nothing to install: this file belongs to danpeg/visual-research. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/danpeg/visual-research/main/CLAUDE.mdgit clone --depth 1 https://github.com/danpeg/visual-researchWrote 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/instructions/danpeg/visual-research/claude-md)<a href="https://agentmods.dev/instructions/danpeg/visual-research/claude-md"><img src="https://agentmods.dev/badge/instructions/danpeg/visual-research/claude-md/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/instructions/danpeg/visual-research/claude-md"><img src="https://agentmods.dev/badge/instructions/danpeg/visual-research/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00844 | $0.00844 |
| Opus 5.5 | $0.00338 | $0.00338 |
| Sonnet 5.5 | $0.00169 | $0.00169 |
| Haiku 4.5 | $0.00084 | $0.00084 |
Grade A, and why
visual-research CLAUDE.md 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 2mo 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 — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What This Is
A Claude Code skill (SKILL.md) that runs a five-phase pipeline to research any brand's visual identity and produce a branded HTML report. Built by Curious Endeavor, a brand agency using agentic branding flows.
The skill is invoked conversationally ("research Cash App", "visual research on Stripe") — there is no build step, test suite, or runtime. The repo is documentation and templates, not executable code.
Repository Structure
SKILL.md— The skill definition. This is what Claude reads when the skill is invoked. Contains the full pipeline spec, input format, phase definitions, image embedding procedure, and OpenClaw deployment options.templates/report.html— HTML report template with{{PLACEHOLDER}}variables anddata-slotimage positions. Full-width layout with sticky CE bar, hero block, pill-track navigation, and 12 report sections. Uses CSS custom properties for branding (:rootblock). Fonts: Larken (Adobe Fonts, headlines), Inter (Google Fonts, body), JetBrains Mono (Google Fonts, technical labels). CE logo is base64-embedded.templates/assets/ce-logo-red.png— CE logo source file (embedded in the template as base64).references/— Supporting docs the skill reads during execution:brand-audit-framework.md— The 13-section research templatesource-discovery-guide.md— Search strategies for finding brand assetsimage-extraction-techniques.md— Instagram API, Prismic CMS, yt-dlp recipesce-styleguide.md— Curious Endeavor design rules (colors, typography, spacing, components)
Key Concepts
Five phases: Discover → Capture → Extract → Analyze → Package. Each phase has specific tool requirements and fallbacks documented in SKILL.md.
Template variables in report.html: Uses {{MUSTACHE}} placeholders for content ({{BRAND_NAME}}, {{TLDR_VERDICT}}, {{SIGNAL_HEADLINE}}, {{FACT_N_VALUE}}, {{SWATCH_N_HEX}}, {{EVOLUTION_N_YEARS}}, etc.). Images use a data-slot system — each <img> has a data-slot="N" attribute (slots 0-18) and data-aspect for expected ratio. Images are base64-embedded by replacing the src attribute of the matching slot.
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.
- 2mo ago First seen · 41 lines · 844 tokens per session scan A 7923828069e1
visual-research CLAUDE.md is an instructions file published in the GitHub repository danpeg/visual-research (6 stars, last pushed 7mo ago), licensed MIT. It adds 844 tokens to every session, about $0.0034 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 2026-08-31.
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