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 productmap/namecatcher-skills --skill ton-usernamesgit clone --depth 1 https://github.com/productmap/namecatcher-skillsWrote 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/productmap/namecatcher-skills/ton-usernames)<a href="https://agentmods.dev/skills/productmap/namecatcher-skills/ton-usernames"><img src="https://agentmods.dev/badge/skills/productmap/namecatcher-skills/ton-usernames/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/productmap/namecatcher-skills/ton-usernames"><img src="https://agentmods.dev/badge/skills/productmap/namecatcher-skills/ton-usernames.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 | $0.00096 | $0.00906 |
| Opus 5 | $0.00048 | $0.00453 |
| Sonnet 5 | $0.00019 | $0.00181 |
| Haiku 4.5 | $0.00010 | $0.00091 |
Grade A, and why
ton-usernames 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Telegram Username Valuation (NameCatcher)
Score and value collectible Telegram usernames via the NameCatcher public API. No authentication required.
API
One endpoint, no key:
GET https://api-namecatcher.rocketname.com/public/score/{name}?lang=en
{name}— username without@(4–32 chars,a-z0-9_)lang—en(default) orru; affects thethesislanguage
Response
{
"username": "wearlab",
"score": 67,
"band": "strong",
"fair_price_ton": 400,
"thesis": "A crisp fusion of \"wear\" and \"lab\" …",
"lang": "en",
"analysis_url": "https://t.me/NameCatcherBot?startapp=name_wearlab__pub_api",
"fragment_url": "https://fragment.com/username/wearlab"
}
| Field | Meaning |
|---|---|
score |
Namability 0–100 — quality of the name as a brandable asset. Validated against real Fragment sales: names scoring 90+ sell for a multiple of 80–89 names. |
band |
premium (≥80), strong (≥66), medium (≥50), weak (<50) |
fair_price_ton |
Class-based fair price estimate in GRAM (by length × score class), or null |
thesis |
Short positioning summary (why this name works, for whom) — only present for names already analyzed; null otherwise |
analysis_url |
Full breakdown in the NameCatcher mini app |
fragment_url |
The name's page on Fragment (market status, buy/bid) |
Errors
| Status | Body | Meaning |
|---|---|---|
| 400 | {"error":"INVALID_NAME"} |
Not a valid username string |
| 400 | {"error":"NOT_COLLECTIBLE"} |
Valid string but not scorable as a collectible (e.g. too short) |
| 429 | {"error":"RATE_LIMITED","retry_after_s":n} |
Over 60 req/min per IP — wait and retry |
Workflows
Evaluate one name
GET /public/score/{name}- Report
score,band,fair_price_ton; quotethesisif present - Link
analysis_urlfor the full breakdown
Compare candidates
- Query each candidate (respect the 60 req/min limit; batch sequentially)
- Rank by
score; break ties withfair_price_ton - Flag
weak(<50) candidates as not investment-grade
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 · 78 lines · 96 tokens per session scan A ebf2891f4cba
ton-usernames is a skill published in the GitHub repository productmap/namecatcher-skills (0 stars, last pushed 1mo ago), licensed MIT. It adds 96 tokens to every session and 906 once invoked, about $0.0005 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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