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 danielpaulai/Purely-Personal-Run-a-business-by-itself --skill business-brain-renderergit clone --depth 1 https://github.com/danielpaulai/Purely-Personal-Run-a-business-by-itselfWrote 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/danielpaulai/purely-personal-run-a-business-by-itself/business-brain-renderer)<a href="https://agentmods.dev/skills/danielpaulai/purely-personal-run-a-business-by-itself/business-brain-renderer"><img src="https://agentmods.dev/badge/skills/danielpaulai/purely-personal-run-a-business-by-itself/business-brain-renderer/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/danielpaulai/purely-personal-run-a-business-by-itself/business-brain-renderer"><img src="https://agentmods.dev/badge/skills/danielpaulai/purely-personal-run-a-business-by-itself/business-brain-renderer.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 | $0.00147 | $0.02855 |
| Opus 5 | $0.00073 | $0.01427 |
| Sonnet 5 | $0.00029 | $0.00571 |
| Haiku 4.5 | $0.00015 | $0.00285 |
Grade A, and why
business-brain-renderer 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 12d 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 — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Business Brain Renderer
Turn a filled BUSINESS-BRAIN.md into a single-page HTML artifact that looks like it cost a design agency $5k. Every section maps to a pre-built template with {{VARIABLE}} placeholders. PDF-exportable, print-ready, screenshot-worthy.
How This Skill Works
This skill does NOT generate design from scratch. It picks templates from reference files, fills variables from the user's Business Brain, and assembles a deterministic one-pager.
- Read
BUSINESS-BRAIN.md(path provided, or look in project root) - Parse each section → map to the matching visual type
- Pick the template from [references/code-templates.md]
- Fill
{{VARIABLES}}from the parsed Brain data - Inject SVG from [references/svg-primitives.md] where needed
- Add interactivity (editable fields, PDF export button) from [references/interactive-patterns.md]
- Validate against the quality checklist
- Emit one HTML artifact
ALWAYS read [references/code-templates.md] BEFORE generating. The templates are load-bearing — deviation produces off-brand output.
Reference Files
| File | What It Contains | When to Read |
|---|---|---|
| [references/code-templates.md] | Complete HTML/CSS for every section with {{VARIABLE}} placeholders |
ALWAYS — primary build tool |
| [references/visual-catalog.md] | Structural spec for each of the 9 section types | When choosing layouts or explaining outputs |
| [references/design-system.md] | Color tokens, typography, spacing, anti-patterns | When customizing brand or troubleshooting |
| [references/svg-primitives.md] | Engine badges, platform icons, radial meter, dividers | When a section needs an icon or shape |
| [references/content-library.md] | Voice-rule examples, hook patterns, empty-state copy | When pre-filling or generating fallback content |
| [references/interactive-patterns.md] | JS for editable fields, auto-save, PDF export, share links | When producing an interactive artifact |
| [references/slide-patterns.md] | Hero layouts, section dividers, persona cards, quote cards | When rendering the cover or headline sections |
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 233 lines · 147 tokens per session scan A e13e387b4bda
business-brain-renderer is a skill published in the GitHub repository danielpaulai/Purely-Personal-Run-a-business-by-itself (2 stars, last pushed 29d ago), licensed MIT. It adds 147 tokens to every session and 2,855 once invoked, about $0.0007 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 2026-08-31.
Other skills, from other repositories
pydicom
Use pydicom to read, inspect, write, transform, and safely preflight local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.
foundry-hosted-agent-validation
Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.
skill-doc-delivery
Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables.
pdf-extract-create-workflow
Complete PDF lifecycle: download, extract, and generate structured documents with reportlab.
document-direct-python
Use direct Python execution for reliable document creation including spreadsheets, PDFs, and structured reports.
parse-document
Convert a PDF, scan, image of a page, or office file to clean markdown through the connected Superlinked MCP edge, so the source document is not read into model context directly. Use when the user asks to read, parse, OCR, extract from, summarize, or answer questions about a document.