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 Akakaui/visual-browser-agent --skill public-business-lead-researchgit clone --depth 1 https://github.com/Akakaui/visual-browser-agentWrote 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/akakaui/visual-browser-agent/public-business-lead-research)<a href="https://agentmods.dev/skills/akakaui/visual-browser-agent/public-business-lead-research"><img src="https://agentmods.dev/badge/skills/akakaui/visual-browser-agent/public-business-lead-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.
<a href="https://agentmods.dev/skills/akakaui/visual-browser-agent/public-business-lead-research"><img src="https://agentmods.dev/badge/skills/akakaui/visual-browser-agent/public-business-lead-research.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 | $0.00034 | $0.00883 |
| Opus 5 | $0.00017 | $0.00441 |
| Sonnet 5 | $0.00007 | $0.00177 |
| Haiku 4.5 | $0.00003 | $0.00088 |
Grade A, and why
public-business-lead-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 11d 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Public Business Lead Research Skill
When to Use
Use this skill to build lead lists from lawful public sources:
- Public business directories and listing sites
- Company "About" and "Contact" pages
- Public services/pricing pages
- Industry association member lists (public view)
Allowed Fields - NOTHING Else
Extract ONLY these lawful public business fields:
| Field | Typical Source |
|---|---|
| businessName | directory listing, site header |
| website | listing link, site footer |
| category | directory taxonomy |
| location | published business address/city |
| publicly listed business email | |
| phone | publicly listed business phone |
| services | services/products page content |
| sourceUrl | the page each record came from |
No individual names, no personal mobile numbers, no inferred or enriched data.
Instructions
Extraction Workflow
browser_connect(profile)using an authorized/default browser profilenavigate(url)to the public directory or business pageinspect_page()and extract ONLY the allowed fields- Attach
sourceUrlto every record - records without it are invalid - Move on politely at any access barrier (see Hard Rules)
Name Normalization
- Trim whitespace; collapse repeated spaces and punctuation
- Normalize legal suffixes: LLC = L.L.C., Inc = Incorporated
- Strip duplicated location suffixes ("Bistro, Downtown" → "Bistro")
- Preserve official capitalization from the primary source
Deduplication
Merge on normalized (businessName, location) pairs:
- Normalize both candidate records
- Compare names case-insensitively after suffix normalization
- Compare locations at city/region granularity, ignoring formatting
- On match: merge, keep the richest field set, union all sourceUrls
Domain Validation
- Accept only well-formed URLs with a resolvable host (
https://preferred) - Flag parked domains and suspicious TLDs as
domainStatus: unverified - Confirm the domain loads during navigation; mark dead sites accordingly
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.
- 11d ago First seen · 107 lines · 34 tokens per session scan A 331ff303bac4
public-business-lead-research is a skill published in the GitHub repository Akakaui/visual-browser-agent (0 stars, last pushed 17d ago), licensed MIT. It adds 34 tokens to every session and 883 once invoked, about $0.0002 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
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…