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 agentmods add skills/zjunlp/skillnet/webshop-result-analyzernpx skills add zjunlp/SkillNet --skill webshop-result-analyzergit 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-result-analyzer)<a href="https://agentmods.dev/skills/zjunlp/skillnet/webshop-result-analyzer"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/webshop-result-analyzer.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00081 | $0.00430 |
| Opus 5 | $0.00041 | $0.00215 |
| Sonnet 5 | $0.00016 | $0.00086 |
| Haiku 4.5 | $0.00008 | $0.00043 |
Grade A, and why
webshop-result-analyzer 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 2d 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.
What it actually says
Instructions
Trigger this skill when you observe a search result page (e.g., containing "Page 1 (Total results: 50)" and multiple product listings).
1. Extract User Requirements
First, parse the user's instruction from the observation. Identify the following key attributes:
- Product Type: (e.g., "woman's us size 5 high heel shoe")
- Specific Attributes: (e.g., "rubber sole", "color patent-beige")
- Price Constraint: (e.g., "price lower than 90.00 dollars")
2. Analyze Search Results
For each product listing in the observation (typically formatted as [ASIN/Product ID] [SEP] [Title] [SEP] [Price Range]):
- Extract the Product ID (e.g., B09GXNYJCD).
- Extract the Product Title.
- Extract the Price. Convert any range (e.g., "$49.99 to $54.99") to its maximum value for comparison against the budget.
- Perform a textual match between the title/description and the required attributes (size, color, material like "rubber", product type).
3. Score and Prioritize
Use the bundled Python script analyze_results.py to perform a consistent, deterministic analysis.
- Run the script with the extracted user requirements and the list of product data.
- The script will output a prioritized list of candidate Product IDs, sorted by a match score.
4. Output and Next Action
Present the analysis in this format:
What ships with it
2 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.
- 2d ago First seen · 29 lines · 81 tokens per session scan A a1edfef5b4f3
webshop-result-analyzer is a skill published in the GitHub repository zjunlp/SkillNet (1,254 stars, last pushed yesterday), licensed MIT. It adds 81 tokens to every session and 430 once invoked, about $0.0004 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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