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 anysiteio/agent-skills --skill anysite-lead-generationgit clone --depth 1 https://github.com/anysiteio/agent-skillsWrote 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/anysiteio/agent-skills/anysite-lead-generation)<a href="https://agentmods.dev/skills/anysiteio/agent-skills/anysite-lead-generation"><img src="https://agentmods.dev/badge/skills/anysiteio/agent-skills/anysite-lead-generation/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/anysiteio/agent-skills/anysite-lead-generation"><img src="https://agentmods.dev/badge/skills/anysiteio/agent-skills/anysite-lead-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00149 | $0.08473 |
| Opus 5 | $0.00075 | $0.04236 |
| Sonnet 5 | $0.00030 | $0.01695 |
| Haiku 4.5 | $0.00015 | $0.00847 |
Grade A, and why
anysite-lead-generation 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 — 1,060 lines — stays where its author put it; the contents beside it link to each section on GitHub.
anysite Lead Generation
Query craft for the two big SQL databases now lives in dedicated skills:
anysite-company-sourcing(70M companies) andanysite-people-sourcing(856M profiles,search_sql_users). Prefer them for bulk list building; this skill remains the end-to-end research workflow.
Professional lead generation and prospecting using the anysite MCP server. Find prospects on LinkedIn, discover verified emails, extract contacts from websites, and build comprehensive lead lists for sales, recruiting, and business development.
Overview
The anysite Lead Generation skill helps you:
- Find qualified prospects on LinkedIn using advanced search filters
- Enrich profiles with work history, education, and skills
- Discover email addresses through LinkedIn email finding
- Extract contact information from company websites
- Research companies to identify target accounts
- Build prospect lists formatted for CRM import
This skill provides comprehensive lead generation capabilities with the added benefit of zero configuration and immediate execution through anysite MCP.
Supported Platforms
- LinkedIn (Primary): People search, profile enrichment, email discovery, company research, employee listings
- Web Scraping: Contact extraction from websites, sitemap parsing, general web data
- Instagram: Business account discovery and profile analysis (supplementary)
- Y Combinator: Startup company and founder research (supplementary)
v2 API Overview
All data fetching uses the universal execute() tool with four parameters: source, category, endpoint, params. Supporting tools:
execute(source, category, endpoint, params)- Fetch data. Returns first page of items +cache_key.get_page(cache_key, offset, limit)- Load additional pages from a previous execute() result using the returnedcache_keyandnext_offset.query_cache(cache_key, conditions, sort_by, aggregate, group_by)- Filter, sort, count, or aggregate already-fetched data without a new API call.export_data(cache_key, format)- Export a full dataset as CSV, JSON, or JSONL. Returns a download URL.discover(source, category)- Inspect available endpoints and their accepted params (use when unsure about params).
What ships with it
2 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 · 1,060 lines · 149 tokens per session scan A c5f3558c6e6b
anysite-lead-generation is a skill published in the GitHub repository anysiteio/agent-skills (19 stars, last pushed 27d ago), licensed MIT. It adds 149 tokens to every session and 8,473 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 2026-08-30.
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