ecommerce.ruiguan-detection-patent-design SKILL.md skillA
ecommerce.ruiguan-detection-patent-design 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.ruiguan-detection-patent-design@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-ruiguan-detection-patent-design/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260917.c57e917, committed Sep 17, 2026
- First version recorded
- Aug 28, 2026
- Size
- 9,786 bytes
- Repository stars
- 96
- License
- none declared
Detect design patent infringement risks by comparing a product image against a global design patent database across 25+ jurisdictions. Triggered when users mention design patent detection, patent infringement check, patent risk analysis, TRO case lookup, design patent search, product design patent screen, or visual patent similarity. Even if the user does not explicitly say "design patent," this skill should be triggered whenever the need involves checking whether a product image may infringe…
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
# Design Patent Detection This skill guides you on how to perform design patent infringement detection, helping e-commerce sellers and IP professionals identify potential design patent risks before listing products. ## Core Concepts Design patent detection compares a product image against a global design patent database using visual similarity algorithms. The system returns patents ranked by similarity score, along with TRO (Temporary Restraining Order) litigation history, helping users assess infringement risk. **Similarity score**: A value between 0 and 1. Higher values indicate greater visual resemblance to the patent drawing. Patents with `similarity >= 0.7` or those flagged with TRO enforcement history deserve special attention and should be reviewed carefully. **Radar analysis**: When radar is enabled, each patent result includes a `radarResult` with a `same` flag (suspected infringement: true/false) and an `exp` field (explanation). This provides an AI-powered judgment beyond raw similarity. …
Read the whole file at its exact version.
How to install
mdr add nexscope-ai/nexscope-ecommerce-skills/ecommerce.ruiguan-detection-patent-design@sha256:60d12d1b630209e6The 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_ogh5dg5qpbbsgwj6)
1 badge image fetches in 30 days. What the badge shows.
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 | 9,786 B | A | view · diff |
| git:20260828.7fb4686 | 2026-08-28 | 7fb4686 | 9,790 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 (9786 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_ogh5dg5qpbbsgwj6 GET https://markdownregistry.com/api/v1/resolve?ref=nexscope-ai/nexscope-ecommerce-skills/ecommerce.ruiguan-detection-patent-design GET https://markdownregistry.com/api/v1/blob/60d12d1b630209e66d2d5b4b2fc8ec6a0906ad141e86d4a21d9347857842e77a
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.