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 kumaran-is/claude-code-onboarding --skill domain-findergit clone --depth 1 https://github.com/kumaran-is/claude-code-onboardingWrote 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/kumaran-is/claude-code-onboarding/domain-finder)<a href="https://agentmods.dev/skills/kumaran-is/claude-code-onboarding/domain-finder"><img src="https://agentmods.dev/badge/skills/kumaran-is/claude-code-onboarding/domain-finder/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/kumaran-is/claude-code-onboarding/domain-finder"><img src="https://agentmods.dev/badge/skills/kumaran-is/claude-code-onboarding/domain-finder.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 | $0.00041 | $0.00967 |
| Opus 5 | $0.00020 | $0.00483 |
| Sonnet 5 | $0.00008 | $0.00193 |
| Haiku 4.5 | $0.00004 | $0.00097 |
Grade A, and why
domain-finder 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 6d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Iron Law: Never register a domain without verifying availability via live lookup; never suggest a domain based on pattern-matching alone.
Domain Finder Skill
Generate creative, brandable domain names and verify which ones are actually available to register.
Workflow
Step 1 — Understand the Project
Gather from the user (ask if not provided):
- What they're building (product, SaaS, agency, portfolio, etc.)
- Target audience (developers, consumers, enterprise, etc.)
- Preferred keywords or themes (optional)
- TLD preferences (default: .com, .io, .dev, .ai, .app)
- Constraints (max length, no hyphens, must include a word, etc.)
Step 2 — Generate Names
Create 15–20 candidates across these categories:
- Descriptive — says what it does (e.g.
codeshare,snippetbox) - Compound — two short words fused (e.g.
devpaste,buildkit) - Invented — brandable neologisms (e.g.
codezy,snipflow) - Short & punchy — ≤ 8 chars, memorable (e.g.
clipp,patchd)
Naming rules:
- Under 15 characters (shorter is better)
- No hyphens — hard to say out loud
- No numbers — confusing verbally
- Easy to spell and pronounce
- Doesn't accidentally spell something bad in another language
Step 3 — Check Availability
Read reference/domain-check-scripts.md for DNS batch check scripts, WHOIS deep check commands, and result interpretation guide.
Quick DNS check (inline example):
# Check a single domain — NXDOMAIN means available; any A/CNAME record means taken
dig +short codeshare.io A
# Returns empty → likely available
# Returns an IP → registered
# Batch check multiple names
for d in codeshare.io devpaste.io snipflow.app; do
result=$(dig +short "$d" A)
if [ -z "$result" ]; then echo "AVAILABLE: $d"; else echo "TAKEN: $d"; fi
done
Note: A clean DNS response does not guarantee the domain is unregistered — some registered domains have no DNS records. Always follow up with a WHOIS check for any candidate before presenting it as available.
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.
- 6d ago First seen · 92 lines · 41 tokens per session scan A 3a772263b1a4
domain-finder is a skill published in the GitHub repository kumaran-is/claude-code-onboarding (35 stars, last pushed 2mo ago), licensed MIT. It adds 41 tokens to every session and 967 once invoked, about $0.0002 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 2026-09-03.
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