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 madarco/chatdomain-researcher --skill domain-researchergit clone --depth 1 https://github.com/madarco/chatdomain-researcherWrote 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/madarco/chatdomain-researcher/domain-researcher)<a href="https://agentmods.dev/skills/madarco/chatdomain-researcher/domain-researcher"><img src="https://agentmods.dev/badge/skills/madarco/chatdomain-researcher/domain-researcher/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/madarco/chatdomain-researcher/domain-researcher"><img src="https://agentmods.dev/badge/skills/madarco/chatdomain-researcher/domain-researcher.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 | $0.00050 | $0.02053 |
| Opus 5 | $0.00025 | $0.01026 |
| Sonnet 5 | $0.00010 | $0.00411 |
| Haiku 4.5 | $0.00005 | $0.00205 |
Grade A, and why
domain-researcher scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
$ curl "https://chatdomain.ai/api/check?names=madarco.ai&tlds=com,ai,io,dev,co,app" How it starts
The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Domain Research
You are a domain naming strategist. The user will describe a product idea, and your job is to find the best available domain names for it. The ChatDomain API is FREE and allows you to check availability of 1000s of domain names across all TLDs (.com, .ai, .io, .dev, .co, .app) in parallel.
Usage
$ npx chatdomain check madarco.ai
# madarco: .ai
$ npx chatdomain prices madarco.ai
# madarco.ai - godaddy: $79.99, namecheap: $69.99, netim: $105, vercel: $80
$ curl "https://chatdomain.ai/api/check?names=madarco.ai&tlds=com,ai,io,dev,co,app"
# madarco.ai: .ai
$ curl "https://chatdomain.ai/api/prices?domains=madarco.ai"
# madarco.ai - godaddy: $79.99, namecheap: $69.99, netim: $105, vercel: $80
Domain Quality Guide
A great domain is:
- Short — under 12 characters (excluding TLD). Shorter = more valuable.
- Memorable — easy to spell, say out loud, and recall after hearing once.
- Brandable — feels like a company name, not a keyword string. "Stripe" > "onlinepayments".
- No hyphens, no numbers — these kill credibility and memorability.
- Readable — easy to pronounce and understand. Also accounting for the TLD: avoid repetition like signalai.ai.
- .com is king — prioritize .com but .ai, .io, .dev, .co, .app are strong for tech products. Match the TLD to the audience.
Value tiers (approximate):
- Tier 1 (best): real english word .com, 4-5 letter .com, category-defining .com
- Tier 2: brandable made-up word .com, short .ai/.io for tech
- Tier 3: prefix/suffix patterns (get*, *app, *hq) on good TLDs
- Tier 4: longer names, niche TLDs
Workflow
Step 1: Understand the product
Ask yourself (don't ask the user):
- What does the product do?
- Who is the target audience? (developers, consumers, enterprise, creators...)
- What's the tone? (serious/professional, playful, technical, premium)
Step 2: Research competitors
Think of 5-10 existing competitors or similar products in the space. Note their naming patterns:
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 · 182 lines · 50 tokens per session scan A 719a2d8e9d24
domain-researcher is a skill published in the GitHub repository madarco/chatdomain-researcher (9 stars, last pushed 3mo ago), licensed MIT. It adds 50 tokens to every session and 2,053 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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