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-maidalv-product-tro-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-maidalv-product-tro-detection)<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-maidalv-product-tro-detection"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-maidalv-product-tro-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-maidalv-product-tro-detection"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-maidalv-product-tro-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 110 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 | $0.00243 | $0.02631 |
| Opus 5 | $0.00121 | $0.01316 |
| Sonnet 5 | $0.00049 | $0.00526 |
| Haiku 4.5 | $0.00024 | $0.00263 |
Grade A, and why
linkfox-maidalv-product-tro-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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Infringement & TRO Risk Detection
This skill detects whether a product carries TRO (Temporary Restraining Order) or IP infringement risk by checking a product image against a database of IP assets (trademarks, patents, copyrights) and TRO case plaintiffs. It returns an overall risk level, high-risk hits, a low-risk IP list with TRO plaintiff details, numeric risk scores, and an AI-generated legal report.
Core Concepts
TRO (Temporary Restraining Order) is a legal injunction brand owners file against sellers (often Amazon listings) for trademark/copyright/patent infringement. This tool takes a main product image (URL or Base64 data URI) plus optional reference images / text / IP keywords, runs visual + text matching against IP assets and TRO case records, and returns a structured risk assessment with an AI legal report (localized by the language parameter).
Data Fields
Top-level response:
| Field | Description |
|---|---|
| errcode | 200 = success; see api.md for other codes |
| status | Overall analysis status (success) |
| checkId | Unique ID for this detection run |
| riskLevel | Overall risk: 高风险/中风险/低风险 (High/Medium/Low Risk) |
| total | Count of high-risk hits (length of results) |
| results | High-risk infringement items (array) |
| nonResults | Low-risk / non-high IP items incl. TRO plaintiff info (array) |
| costToken | Tokens consumed this call |
| columns | Render column metadata (display only) |
Each item (results / nonResults):
| Field | Description |
|---|---|
| ipType | Trademark / Copyright / Patent |
| text | IP text (trademark word, patent/copyright title) |
| ipOwner | IP rights owner |
| regNo | Registration number (may be a JSON-string array, e.g. ["1221667"]) |
| riskLevel / riskScore / riskDescription | Risk rating / 0-10 score / text; present only when scored |
| ipAssetUrls | URLs to IP evidence images |
| plaintiffName / plaintiffId | TRO plaintiff (present only when IP appears in a TRO case) |
| numberOfCases | Plaintiff's case count (TRO only) |
| lastCaseDocket / lastCaseDateFiled | Most recent court docket / filing date (TRO only) |
| report | AI-generated legal assessment (localized by language) |
What ships with it
5 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 · 166 lines · 243 tokens per session scan A 72e736bcd66a
linkfox-maidalv-product-tro-detection is a skill published in the GitHub repository linkfox-ai/linkfox-skills (101 stars, last pushed 22d ago), licensed MIT. It adds 243 tokens to every session and 2,631 once invoked, about $0.0012 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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