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 linkfox-ai/linkfox-skills --skill linkfox-ruiguan-text-trademark-detectiongit clone --depth 1 https://github.com/linkfox-ai/linkfox-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/linkfox-ai/linkfox-skills/linkfox-ruiguan-text-trademark-detection)<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-ruiguan-text-trademark-detection"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-ruiguan-text-trademark-detection/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/linkfox-ai/linkfox-skills/linkfox-ruiguan-text-trademark-detection"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-ruiguan-text-trademark-detection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 118 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00139 | $0.02219 |
| Opus 5 | $0.00069 | $0.01110 |
| Sonnet 5 | $0.00028 | $0.00444 |
| Haiku 4.5 | $0.00014 | $0.00222 |
Grade A, and why
linkfox-ruiguan-text-trademark-detection 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 9d 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ruiguan Text Trademark Detection
This skill guides you on how to perform text-based trademark detection against product titles and other product text, helping e-commerce sellers identify potential trademark infringement risks before publishing listings.
Core Concepts
Text Trademark Detection scans product text (titles, descriptions, bullet points) against registered trademark databases across 15 countries/regions. It returns matched trademarks along with risk scores, registration details, and holder information so sellers can avoid intellectual property violations.
Risk score logic: The highestModeScore field ranges from 0 to 5 -- a higher value indicates greater infringement risk. The textTrademarkRadar field classifies overall product risk into three levels: 0 (low risk), 1 (needs manual review), 2 (high risk).
Blacklist and whitelist: The response may include blacklistTrademarks (known dangerous trademarks to always avoid) and whitelistTrademarks (safe trademarks that can be ignored). Always surface blacklist matches prominently to the user.
Parameters
| Parameter | Type | Required | Description | Example |
|---|---|---|---|---|
| productTitle | string | Yes | Product title to scan (max 1000 chars) | Wireless Bluetooth Headphones Noise Cancelling |
| regions | string | No | Country/region codes, comma-separated. Supported: US, EM, GB, DE, FR, IT, ES, AU, CA, MX, JP, CN, WO, TR, BX | US,EM,GB |
| limit | integer | Yes | Max number of results to return (default 100, max 500) | 100 |
| productText | string | No | Additional product text such as bullet points, description (max 1000 chars) | Ergonomic design with premium sound quality |
Supported Regions
| Code | Region |
|---|---|
| US | United States |
| EM | European Union |
| GB | United Kingdom |
| DE | Germany |
| FR | France |
| IT | Italy |
| ES | Spain |
| AU | Australia |
| CA | Canada |
| MX | Mexico |
| JP | Japan |
| CN | China |
| WO | WIPO (World Intellectual Property Organization) |
| TR | Turkey |
| BX | Bolivia |
What ships with it
4 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.
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.
- 9d ago First seen · 175 lines · 139 tokens per session scan A 5f5fb7672260
linkfox-ruiguan-text-trademark-detection is a skill published in the GitHub repository linkfox-ai/linkfox-skills (101 stars, last pushed 22d ago), licensed MIT. It adds 139 tokens to every session and 2,219 once invoked, about $0.0007 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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