Webshop Initial SearchSAFE
Create, Evaluate, and Connect AI Skills
Overview
Create, Evaluate, and Connect AI Skills
4501e739125cOBSERVED · 2026-10-12What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: webshop-initial-search
description: Performs the first search on an e-commerce platform using keywords derived from parsed user requirements. Use when starting product discovery from a user instruction or when previous search results are insufficient and a new query is needed. It formulates a search query from the criteria (e.g., '24 pack of 7.5 ounce bottles of non-gmo classic tonic') and executes the search[] action, returning the initial result page.
---
# Instructions
1. **Parse Requirements:** Extract the core product criteria from the user's instruction. Focus on:
* **Quantity & Packaging:** (e.g., "24 pack")
* **Size:** (e.g., "7.5 ounce bottles")
* **Key Attributes:** (e.g., "non-gmo", "classic tonic")
* **Price Constraint:** (e.g., "price lower than 50.00 dollars") - This is for validation later, not for the initial search query.
2. **Formulate Search Query:** Combine the extracted criteria into a concise, natural-language search string. Prioritize specificity to filter results effectively.
* **Example:** For "i would like to get a 24 pack of 7.5 ounce bottles of non-gmo classic tonic", the query should be: `24 pack of 7.5 ounce bottles of non-gmo classic tonic`
* **Do not** include the price constraint in the search keywords.
3. **Execute Search:** Use the platform's `search[<keywords>]` action with your formulated query.
* The action output will be the initial search results page observation.
4. **Next Steps:** After executing this skill, proceed to evaluate the search results. The next actions will typically involve clicking on a promising product listing or refining the search.
## Example
**User instruction:** "I would like to find a 24 pack of 7.5 ounce bottles of non-gmo classic tonic, and target price lower than 50.00 dollars"
**Thought:** I need to search for the product using the key attributes. I will omit the price constraint from the search keywords.
**Action:** `search[24 pack of 7.5 ounce bottles of non-gmo classic tonic]`
**Observation:** The platform returns the initial search results page with matching product listings.Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
4501e739125cfull audit observations/trust-audit/skill/zjunlp__webshop-initial-search.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-12 | 4501e739125c | SAFE | B | 89 | first audit |
Questions
What does the Webshop Initial Search skill do?
Create, Evaluate, and Connect AI Skills
Is Webshop Initial Search safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Webshop Initial Search access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (4501e739125c), read on 2026-10-12. The repository is watched, and a new audit runs when it changes — this is the first audit.