Transform and Summarize Array Data
Large object arrays are expensive to process through repeated natural-language instructions. This skill applies reusable JavaScript transformations and returns compact processing statistics.
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Review the Skillstore skill "data-processor" from https://skillstore.io/skills/artemisai-data-processor.md and its manifest at https://skillstore.io/api/skills/artemisai-data-processor/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
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Using "data-processor". Keep completed sales, sort by amount from highest to lowest, and summarize the operation.
Expected outcome:
Using "data-processor". Calculate the total for three order values: 100, 150, and 200.
Expected outcome:
The total order value is 450 across three records.
Using "data-processor". Normalize customer names and emails, then remove duplicate emails.
Expected outcome:
Two unique customer records remain after trimming names, lowercasing emails, and removing one duplicate.
All 15 external-command detections are Markdown fences, inline code spans, or JavaScript template-literal syntax; none executes a shell. The hardcoded URL is a documentation link and does not initiate a network request. No prompt injection or other malicious intent was found.
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https://skillstore.io/skills/artemisai-data-processor/audits/9?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/artemisai-data-processor?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/artemisai-data-processor?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/artemisai-data-processor/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/artemisai-data-processor.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>ArtemisAI. (2026). data-processor security audit report (audit version 9) [Author version 1.0.0]. Skillstore. https://skillstore.io/skills/artemisai-data-processor/audits/9@techreport{artemisai-artemisai-data-processor-2026,
author = {ArtemisAI},
title = {data-processor security audit report (audit version 9)},
institution = {Skillstore},
year = {2026},
number = {9},
url = {https://skillstore.io/skills/artemisai-data-processor/audits/9},
note = {Author version 1.0.0}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "data-processor security audit report (audit version 9)"
version: "1.0.0"
type: report
authors:
- name: "ArtemisAI"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/artemisai-data-processor/audits/9"
identifiers:
- type: other
value: "skillstore:artemisai-data-processor:audit:9"
description: "Skillstore immutable audit report identifier"
Clean, filter, deduplicate, and sort object arrays before analysis.
Calculate totals, averages, counts, minimums, and maximums for routine reporting.
Transform data returned by an authorized MCP tool before saving or summarizing results.
Process [dataset]. Keep records where [condition], sort by [field] in [ascending or descending] order, and report removed and remaining counts.
Normalize [fields] in [dataset], remove duplicates using [unique field], and return the cleaned records with operation statistics.
Transform [dataset] using [mapping rules], filter by [condition], then calculate [sum, average, count, minimum, or maximum] for [field].
Use authorized [MCP source] data, apply [transformations], save only to [approved destination], and return statistics instead of the full dataset.
Author
ArtemisAILicense
MIT
Author version
v1.0.0
Skillstore revision
r2
Ref
89edfdc710d0846129dcee6a929477b04f08052c
Maintenance freshness
7/24/2026
Usage
10 downloads · 261 views
File structure
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