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 meepo-it/letsfinddomain-skill --skill letsfinddomain-skillgit clone --depth 1 https://github.com/meepo-it/letsfinddomain-skillWrote 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/meepo-it/letsfinddomain-skill/letsfinddomain-skill)<a href="https://agentmods.dev/skills/meepo-it/letsfinddomain-skill/letsfinddomain-skill"><img src="https://agentmods.dev/badge/skills/meepo-it/letsfinddomain-skill/letsfinddomain-skill/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/meepo-it/letsfinddomain-skill/letsfinddomain-skill"><img src="https://agentmods.dev/badge/skills/meepo-it/letsfinddomain-skill/letsfinddomain-skill.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 | $0.00045 | $0.00594 |
| Opus 5.5 | $0.00018 | $0.00238 |
| Sonnet 5.5 | $0.00009 | $0.00119 |
| Haiku 4.5 | $0.00005 | $0.00059 |
Grade A, and why
letsfinddomain-skill 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 2mo 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Let's Find Domain
Help the user find a strong domain name, confirm its availability, show first- year and renewal pricing, and flag obvious brand collisions.
User-first behavior
- Start with the user's request. Do not run a standalone
example.compreflight before understanding what they want. - Use the bundled scripts internally. In normal user-facing replies, do not show Python commands or ask users to assemble command-line arguments.
- Use system environment variables first; a repository
.envis a local fallback. Spaceship is the default availability provider when configured. - If no availability provider is configured, say so in one or two sentences and
link to
references/environment.md. Do not dump every provider, RDAP caveat, or setup command unless the user asks. - Never guess availability.
availablemust come from a real provider; an unresolved result is not available.
Workflow
- Understand the brief: product, audience, naming style, length, TLDs, budget, banned or required words, and existing candidates. Ask only for missing information that changes the search.
- Generate candidates around the brief. Use
references/naming-guide.mdwhen useful, but treat it as a palette rather than a whitelist. - When availability is requested, send the complete candidate list in one
batch. Respect the selected provider's batch shape, shared rate budget, and
one in-flight request rule; see
references/rate-limits.mdonly when needed. - Vet available names for established brand or product collisions. Surface premium pricing and large renewal increases instead of hiding them.
- Present a compact table with domain, status, registration price, renewal price, and notes. Recommend the strongest option when the user asks for suggestions, not just a raw list.
Failure handling
- No provider: explain that availability cannot be confirmed yet and point to
the cross-platform setup in
references/environment.md. lookup failed,unknown,no RDAP for this TLD, andnot supported by this provider: report as unresolved, never as available.- RDAP is only an optional trial fallback. It reports registration records, not guaranteed purchasability or checkout pricing.
What ships with it
10 files 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.
- agents/openai.yaml 294 B
- references/environment.md 14 KB
- references/naming-guide.md 7.2 KB
- references/providers.md 15 KB
- references/query-recipes.md 6.7 KB
- references/rate-limits.md 10 KB
- scripts/check-domains.py 50 KB runs code
- scripts/gen-names.py 4.8 KB runs code
- scripts/install-hooks.py 352 B runs code
- scripts/test.py 6.5 KB runs code
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.
- 2mo ago First seen · 57 lines · 45 tokens per session scan A 3423e5076ad6
letsfinddomain-skill is a skill published in the GitHub repository meepo-it/letsfinddomain-skill (284 stars, last pushed 3mo ago), licensed MIT. It adds 45 tokens to every session and 594 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
letsfinddomain-skill compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| letsfinddomain-skillmeepo-it/letsfinddomain-skill | Skill | 284 | 3mo ago | MIT | A | 45 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |