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 5.5 | $0.00014 | $0.00353 |
| Sonnet 5.5 | $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 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 — 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.
- 2mo 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 2mo ago), licensed MIT. It adds 34 tokens to every session and 883 once invoked, about $0.0001 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.
public-business-lead-research compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| public-business-lead-researchAkakaui/visual-browser-agent | Skill | 0 | 2mo ago | MIT | A | 34 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |