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-amazon-policy-feedgit 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-amazon-policy-feed)<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-amazon-policy-feed"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-amazon-policy-feed/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-amazon-policy-feed"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-amazon-policy-feed.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 91 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 | $0.00147 | $0.02221 |
| Opus 5 | $0.00073 | $0.01111 |
| Sonnet 5 | $0.00029 | $0.00444 |
| Haiku 4.5 | $0.00015 | $0.00222 |
Grade A, and why
linkfox-amazon-policy-feed 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 11d 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon Policy & Regulation Feed
This skill retrieves Amazon's latest policy & regulation feed for cross-border sellers. It is a two-step (list then detail) flow: first list feed items by site / time window, then fetch the full article body by its id.
Core Concepts
- Source: Amazon official policy & regulation updates for sellers, curated by AI to surface items valuable to cross-border operations.
- AI summary: Each feed item includes a
summaryZhfield — an AI-generated 1-3 sentence Chinese summary for quick scanning. - Two coupled tools:
amazon/policyFeed— paginated list; returns structured records with title, AI summary, original URL, and publish time.amazon/policyFeedDetail— full article body (Markdown) for a single recordidobtained from the list.
- Time range: Defaults to the last 7 days; supports custom time windows via
publishedAtGte/publishedAtLte.
Parameters
List (amazon/policyFeed)
| Parameter | Type | Required | Description | Default |
|---|---|---|---|---|
| site | string | No | Marketplace code (uppercase); site filtering only applies to some feed item types, others are always returned regardless of site | US |
| publishedAtGte | string | No | Publish/change time lower bound (incl.), yyyy-MM-dd HH:mm:ss |
last 7 days |
| publishedAtLte | string | No | Publish/change time upper bound (incl.), yyyy-MM-dd HH:mm:ss |
now |
| page | integer | No | Page number, starting at 1 | 1 |
| pageSize | integer | No | Items per page, 1-100 | 20 |
Detail (amazon/policyFeedDetail)
| Parameter | Type | Required | Description |
|---|---|---|---|
| id | string | Yes | Record ID (32-char string) from the list response data[].id |
Supported Marketplaces (for site)
US, JP, UK, AU, BE, BR, CA, EG, FR, DE, IN, IT, MX, NL, PL, SA, SG, ES, SE, TR, AE, ZA, IE. Default is US when not specified. Note: site filtering only applies to some feed item types; others are always returned regardless of site.
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.
- 11d ago First seen · 145 lines · 147 tokens per session scan A 0efda2624dd1
linkfox-amazon-policy-feed is a skill published in the GitHub repository linkfox-ai/linkfox-skills (101 stars, last pushed 21d ago), licensed MIT. It adds 147 tokens to every session and 2,221 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 2026-08-30.
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