SkillNet is infrastructure for finding, creating, evaluating, combining, and coordinating reusable capabilities for AI agents. Agent developers use it as a searchable and installable library of skills and as a system for selecting skills for particular tasks. The catalogue contains skills that can be discovered, installed, or used with SkillNet.
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 zjunlp/SkillNet --skill webshop-product-selectorgit clone --depth 1 https://github.com/zjunlp/SkillNetWrote 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/zjunlp/skillnet/webshop-product-selector)<a href="https://agentmods.dev/skills/zjunlp/skillnet/webshop-product-selector"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/webshop-product-selector/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/zjunlp/skillnet/webshop-product-selector"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/webshop-product-selector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00069 | $0.00571 |
| Opus 5 | $0.00034 | $0.00285 |
| Sonnet 5 | $0.00014 | $0.00114 |
| Haiku 4.5 | $0.00007 | $0.00057 |
Grade A, and why
webshop-product-selector 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 5d 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 — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Instructions
Use this skill when you are on a search results page with multiple product options that appear to meet the user's core requirements.
Decision Process
- Assess the List: Review the provided observation, which contains a list of products. Each product entry typically includes a Product ID (e.g.,
B093C1THVP), a title, and a price. - Apply Selection Heuristic: Use the bundled
selector.pyscript to programmatically identify the best candidate. The script implements the following logic:- Filters products strictly under the user's specified maximum price.
- Scores remaining products based on keyword matching in the title against the user's core requirements (e.g., "portable", "easy to carry", "double horn").
- Selects the product with the highest score. In case of a tie, it chooses the lowest-priced item.
- Execute Action: The final action is always to click on the selected product's ID to navigate to its detail page for final verification and purchase. The action format is
click[product_id].
Thought Process Template
Structure your reasoning before acting using this template:
Thought: [List the user's requirements, evaluate each candidate product against them, explain why the selected product is the best match.]
Action: click[<product_id>]
Example
Instruction: "i need a portable double horn bluetooth speaker that is easy to carry, and price lower than 50.00 dollars"
Observation (Search Results):
- B093C1THVP: "Portable Double Horn Bluetooth Speaker — Compact & Easy to Carry" — $32.99
- B08XYZ1234: "Double Horn Wireless Speaker — Premium Sound" — $55.00
- B07ABC5678: "Mini Portable Bluetooth Speaker" — $19.99
Thought: The user needs a portable, double horn bluetooth speaker that is easy to carry, under $50. B093C1THVP at $32.99 matches "portable", "double horn", and "easy to carry" — all keywords present in the title. B08XYZ1234 exceeds the $50 budget. B07ABC5678 is within budget but lacks "double horn". Selecting B093C1THVP as the best match.
Action: click[B093C1THVP]
What ships with it
1 file 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.
- 5d ago First seen · 37 lines · 69 tokens per session scan A 526593374ca9
webshop-product-selector is a skill published in the GitHub repository zjunlp/SkillNet (1,255 stars, last pushed yesterday), licensed MIT. It adds 69 tokens to every session and 571 once invoked, about $0.0003 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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