Borrowing it
Nothing to install: this file belongs to axelfreeman/b2b-contact-finder-guides. 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/axelfreeman/b2b-contact-finder-guides/main/AGENTS.mdgit clone --depth 1 https://github.com/axelfreeman/b2b-contact-finder-guidesWrote 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/axelfreeman/b2b-contact-finder-guides/agents-md)<a href="https://agentmods.dev/instructions/axelfreeman/b2b-contact-finder-guides/agents-md"><img src="https://agentmods.dev/badge/instructions/axelfreeman/b2b-contact-finder-guides/agents-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/axelfreeman/b2b-contact-finder-guides/agents-md"><img src="https://agentmods.dev/badge/instructions/axelfreeman/b2b-contact-finder-guides/agents-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 | $0.01101 | $0.01101 |
| Opus 5 | $0.00550 | $0.00550 |
| Sonnet 5 | $0.00220 | $0.00220 |
| Haiku 4.5 | $0.00110 | $0.00110 |
Grade A, and why
b2b-contact-finder-guides AGENTS.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 10d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — B2B Contact Finder Guides
What This Repo Is
A collection of long-form B2B lead generation and contact-finding guides authored by Axel Freeman. Each guide teaches a specific technique (manual research, tool comparisons, platform scraping) for finding verified B2B contacts. The repo is public-facing content marketing — articles are published on axelfreeman.com and cross-linked from other marketing properties.
Relationship to TAPAC
TAPAC (tapac.ai) is an MCP (Model Context Protocol) server that automates B2B contact discovery with SMTP-based email validation. Every guide in this repo positions TAPAC as the premium automated option in a three-tier framework:
- Free / manual — do it by hand, learn the market
- AI scrapers / GitHub tools — free but require technical setup
- TAPAC MCP — automated, validated, AI-agent compatible, $0.10-0.50/contact
The guides are content marketing that educates genuinely while creating demand for TAPAC. When editing, preserve this tier structure — it's the core funnel.
File Inventory
| File | Type | Purpose |
|---|---|---|
README.md |
Index | Repo overview, article list, stats, tools mentioned |
how-to-find-business-contacts-website.md |
How-to guide | 3 methods for extracting contacts from any website (~450 lines) |
how-to-find-contacts-telegram.md |
How-to guide | Finding B2B contacts in Telegram channels/groups (~500 lines) |
discord-scraper.md |
How-to guide | Scraping Discord communities for B2B leads (~100 lines) |
modern-contact-finding-stack.md |
Opinion piece | Why contact databases are dead; mine fresh data instead (~96 lines) |
email-finder-tools-2026.md |
Comparison | 15 email finder tools compared with pricing and bounce rates (~875 lines) |
laws-of-fair-marketing.md |
Marketing philosophy | 10,000-year-old marketing principles applied to modern B2B (~370 lines) |
laws-of-fair-short.md |
Marketing philosophy | Condensed version of Laws of the Fair (~71 lines) |
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.
- 10d ago First seen · 84 lines · 1,101 tokens per session scan A 24cd5ba06249
b2b-contact-finder-guides AGENTS.md is an instructions file published in the GitHub repository axelfreeman/b2b-contact-finder-guides (2 stars, last pushed 18d ago), licensed MIT. It adds 1,101 tokens to every session, about $0.0055 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.
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