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 coconut971/isdomainok --skill isdomainok-domain-naminggit clone --depth 1 https://github.com/coconut971/isdomainokWrote 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/coconut971/isdomainok/isdomainok-domain-naming)<a href="https://agentmods.dev/skills/coconut971/isdomainok/isdomainok-domain-naming"><img src="https://agentmods.dev/badge/skills/coconut971/isdomainok/isdomainok-domain-naming/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/coconut971/isdomainok/isdomainok-domain-naming"><img src="https://agentmods.dev/badge/skills/coconut971/isdomainok/isdomainok-domain-naming.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 | $0.00068 | $0.01108 |
| Opus 5 | $0.00034 | $0.00554 |
| Sonnet 5 | $0.00014 | $0.00222 |
| Haiku 4.5 | $0.00007 | $0.00111 |
Grade A, and why
isdomainok-domain-naming 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IsDomainOK Domain Naming
Use this skill to turn naming work from brainstorming into a verified shortlist.
Core rule
Do not recommend a name as a strong final candidate until its relevant domains have been checked.
The language model should do the creative work. IsDomainOK should do the factual domain work. Do not add a separate LLM API call inside the workflow.
Preferred workflow
- Understand the naming brief:
- what is being named;
- desired language and tone;
- length constraints;
- important keywords or concepts;
- forbidden words or styles;
- preferred TLDs;
- registration budget if any.
- Generate a broad candidate pool, normally 20 to 50 distinct names.
- Remove obvious duplicates, spelling traps, confusing pronunciations, and names that violate the brief.
- Send the remaining names to IsDomainOK in one batch.
- Prefer
screen_nameswhen the MCP server is available. - Keep the raw availability sources separate. Do not hide a
conflictresult. - Rank the surviving names using both creative quality and domain evidence.
- Present a compact shortlist with factual domain status and price information.
MCP tools
When IsDomainOK MCP is connected, prefer these tools:
about_isdomainok— confirm capabilities and whether GoDaddy credentials are configured without exposing the token.check_domain— inspect one exact domain.check_name— inspect one base name across several TLDs.screen_names— batch-filter generated names and return the best domain candidates.
For naming tasks, screen_names is usually the best first tool after brainstorming.
Example intent:
- names: 30 generated brand names
- tlds:
com,ai,io - max_registration_price: user budget when supplied
- currency: currency requested by the user
- allow_possible:
falseby default
CLI fallback
If MCP is unavailable, use the CLI:
isdomainok nameone nametwo namethree --tlds com ai io --json
If a GoDaddy token is configured, normal checks can include registrar availability and indicative registration/renewal prices automatically.
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 · 144 lines · 68 tokens per session scan A 373a1b230c08
isdomainok-domain-naming is a skill published in the GitHub repository coconut971/isdomainok (2 stars, last pushed 26d ago), licensed MIT. It adds 68 tokens to every session and 1,108 once invoked, about $0.0003 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
domain-hunter
Check domain availability, generate name candidates, compare prices across 20+ registrars, check Brazilian (.br) domains via Registro.br, get trademark search URLs (INPI/USPTO/EUIPO). Use for startup naming, SaaS branding, bulk domain scanning, agent-driven naming workflows, and Brazilian market research.
c-network
DNS lookups with doggo and readable HTTP requests with httpie — modern networking tools for the terminal.
linkedin-carousel
Creates the slides of a LinkedIn carousel, both kinds. Use when the user wants a "LinkedIn carousel", a "LinkedIn document post", a "LinkedIn PDF carousel", a "LinkedIn carousel ad" or "several slides that swipe" for a LinkedIn project. Two paths, and the choice is asked rather than assumed. Either an organic document…
facebook-carousel
Creates the cards of a Facebook carousel ad at Meta's dimensions, as a series of coherent visuals. Use when the user wants a "Facebook carousel", a "carousel ad" or "several cards that swipe" for a project. Produces N .tsx templates (one card = one PNG) in a dedicated subfolder, sharing a common theme, aligned with…
facebook-page
Creates the visuals for a Facebook Page (profile photo = the brand, and cover photo) at Facebook's official dimensions. Use when the user wants a "Facebook profile photo", a "Facebook cover", a "Facebook page banner" or "the FB page logo" for a project. Produces one or two .tsx templates at the sizes Facebook imposes…
x-carousel
Creates the cards of an X / Twitter carousel ad at X's dimensions, as a series of coherent visuals. Use when the user wants an "X carousel", a "Twitter carousel ad" or "several cards that swipe" for an X project. Produces N .tsx templates (one card = one PNG) in a dedicated subfolder, sharing a common theme, aligned…