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-keepa-product-seriesgit 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-keepa-product-series)<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-keepa-product-series"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-keepa-product-series/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-keepa-product-series"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-keepa-product-series.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 124 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 | $0.00208 | $0.02758 |
| Opus 5 | $0.00104 | $0.01379 |
| Sonnet 5 | $0.00042 | $0.00552 |
| Haiku 4.5 | $0.00021 | $0.00276 |
Grade A, and why
linkfox-keepa-product-series 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Keepa Product Time-Series Data Explorer
This skill guides you on how to query and analyze Amazon product historical time-series data, helping Amazon sellers track price movements, BSR trends, rating changes, and other key product metrics over time.
Core Concepts
This tool provides historical time-series data for individual Amazon products (ASINs) powered by Keepa. It returns timestamped data points for various metrics, allowing trend analysis over a configurable time window (up to 365 days). Each query targets a single ASIN in a specific Amazon marketplace.
Time-series format: All data series are returned as arrays of {time, value} objects, where time is a timestamp and value is the metric at that point. BSR data includes a categoryName field along with a points array.
BSR logic: A smaller BSR value means a better sales rank. Rank 1 is the top-selling product in its category. When a user says "BSR improved", it means the numeric value decreased; "BSR dropped" means the value increased.
Available Data Series
| Series | Parameter | Description |
|---|---|---|
| Buy Box Price | (always returned) | Buy Box price over time |
| Lowest New Price | showPrice=1 | Lowest marketplace new item price |
| List Price | showPriceList=1 | Strikethrough / list price |
| Deal Price | showPriceDeal=1 | Lightning deal price |
| Prime Exclusive Price | showPricePrime=1 | Prime-exclusive new item price |
| FBA Price | showPriceFba=1 | Third-party FBA new item price |
| FBM Price | showPriceFbm=1 | Third-party FBM new item price |
| Coupon Price | showPriceCoupon=1 | Post-coupon Buy Box price |
| Main Category BSR | showBsrMain=1 | Best Sellers Rank in the main (root) category |
| Seller Count | showSellerCount=1 | Number of active sellers |
| Rating | (always returned) | Product star rating over time |
| Rating Count | (always returned) | Number of ratings over time |
| Monthly Sales | (always returned) | Monthly unit sales volume |
| Sub-category BSR | (always returned) | Best Sellers Rank in sub-categories |
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 · 185 lines · 208 tokens per session scan A bcfa8d527eb1
linkfox-keepa-product-series is a skill published in the GitHub repository linkfox-ai/linkfox-skills (101 stars, last pushed 22d ago), licensed MIT. It adds 208 tokens to every session and 2,758 once invoked, about $0.0010 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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