ecommerce.text-trademark-detector SKILL.md skillA
ecommerce.text-trademark-detector from nexscope-ai/nexscope-ecommerce-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nexscope-ai/nexscope-ecommerce-skills/ecommerce.text-trademark-detector@git:20260917.c57e917Pins git:20260917.c57e917 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nexscope-ai/nexscope-ecommerce-skills
- Path
ecommerce-text-trademark-detector/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260917.c57e917, committed Sep 17, 2026
- First version recorded
- Aug 28, 2026
- Size
- 8,440 bytes
- Repository stars
- 96
- License
- none declared
Text trademark detection and infringement risk analysis for e-commerce product listings. Trigger when users mention trademark detection, trademark risk check, brand infringement screening, product title trademark scan, text trademark search, listing compliance check, intellectual property risk assessment, text trademark detection, trademark infringement, brand infringement screening, listing compliance, intellectual property risk, Ruiguan. Even if the user does not explicitly say "trademark…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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 | …
Read the whole file at its exact version.
How to install
mdr add nexscope-ai/nexscope-ecommerce-skills/ecommerce.text-trademark-detector@sha256:5276cbedbb621184The line at the top of this page pins the label git:20260917.c57e917, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_imou73dsmtfob6pv)
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Versions
The registry has recorded 2 versions of this file, between Aug 28, 2026 and Sep 17, 2026, about one every 20 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260917.c57e917 latest | 2026-09-17 | c57e917 | 8,440 B | A | view · diff |
| git:20260828.7fb4686 | 2026-08-28 | 7fb4686 | 8,444 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8440 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
nexscope-ai/nexscope-ecommerce-skills · 96 stars · license none declared · pushed 2026-10-15 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_imou73dsmtfob6pv GET https://markdownregistry.com/api/v1/resolve?ref=nexscope-ai/nexscope-ecommerce-skills/ecommerce.text-trademark-detector GET https://markdownregistry.com/api/v1/blob/5276cbedbb621184c531b73a776bc20fb863f52e311bb3117125f87bc579659f
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.