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 KhaledSaeed18/dotclaude --skill business-name-checkgit clone --depth 1 https://github.com/KhaledSaeed18/dotclaudeWrote 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/khaledsaeed18/dotclaude/business-name-check)<a href="https://agentmods.dev/skills/khaledsaeed18/dotclaude/business-name-check"><img src="https://agentmods.dev/badge/skills/khaledsaeed18/dotclaude/business-name-check/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/khaledsaeed18/dotclaude/business-name-check"><img src="https://agentmods.dev/badge/skills/khaledsaeed18/dotclaude/business-name-check.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 | $0.00072 | $0.02140 |
| Opus 5 | $0.00036 | $0.01070 |
| Sonnet 5 | $0.00014 | $0.00428 |
| Haiku 4.5 | $0.00007 | $0.00214 |
Grade A, and why
business-name-check 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clear a brand name before it goes onto a domain, a storefront, a logo, and a legal filing. The whole skill rests on one rule: a name is only "available" where you checked it, with evidence you can show. RDAP and register APIs answer definitively; a social platform behind a login wall does not. Report what you verified, name what you could not, and never round an unchecked surface up to "free".
A brand name is not cleared surface by surface in isolation. It is cleared as a set: the domain, the handle used identically everywhere, and the absence of a competitor already trading under it. One taken handle can sink a name that is otherwise free.
You investigate and report. You do not register, purchase, file, or reserve anything, and you do not give legal advice.
Step 1: Frame the check
Work out five things before searching. Ask only what you cannot infer from what the user already told you.
- The candidates. Push for three to five. The first choice is usually gone on at least one major platform, and a check with no fallback wastes the sweep.
- What the business does. The category decides which competitors count and which trademark classes matter. "Coffee roaster" and "developer tooling company" collide with completely different names.
- Where it operates. The country of incorporation drives the company register, and the trading markets drive which ccTLDs, which language checks, and which local registers matter. A name free in the US and taken by a household brand in Germany is a problem if Germany is a market.
- How it reaches customers. Online store, marketplace seller, physical location, app, newsletter, services. This selects the commerce and listing surfaces in step 2.
- How much the name has to carry. A side project selling to fifty people does not need a register sweep. Anything that will take payments, run ads, or raise money does.
State the resolved framing back in one or two lines before spending searches on it.
Step 2: Pick the surfaces
What ships with it
1 file 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.
- 10d ago First seen · 116 lines · 72 tokens per session scan A 06aa59dad0b8
business-name-check is a skill published in the GitHub repository KhaledSaeed18/dotclaude (5 stars, last pushed 2d ago), licensed MIT. It adds 72 tokens to every session and 2,140 once invoked, about $0.0004 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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