Evaluate Technology Choices with Clear Tradeoffs
Technology choices often hide tradeoffs across performance, cost, reliability, operations, and team readiness. This skill compares candidates, recommends an option, and defines proof-of-concept checks.
このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。
Review the Skillstore skill "arch-tech-evaluation" from https://skillstore.io/skills/zl2023github-arch-tech-evaluation.md and its manifest at https://skillstore.io/api/skills/zl2023github-arch-tech-evaluation/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。
AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。
「arch-tech-evaluation」を使用しています。 Compare Kafka and RabbitMQ for order events at 100,000 messages per second.
期待される結果:
**Recommendation: Kafka.** It better matches sustained throughput and retention needs. Validate p99 latency, broker recovery, consumer rebalancing, and operational capacity in a proof of concept.
「arch-tech-evaluation」を使用しています。 Choose between two web frameworks for a small team maintaining a business application.
期待される結果:
**Recommendation: Framework A.** Its team familiarity and simpler operations outweigh Framework B's performance advantage. Reassess when traffic or real-time requirements increase.
「arch-tech-evaluation」を使用しています。 Create a proof-of-concept plan and ADR for selecting a distributed database.
期待される結果:
The plan measures latency, failover, consistency, recovery, and cost under representative workloads. The ADR records weighted scores, unresolved risks, and the approval criteria.
All four static findings are false positives. The command alerts identify Markdown fences, while the entropy alerts identify readable Chinese Markdown rather than encoded payloads. No prompt injection, data exfiltration, or executable behavior was found.
バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。
https://skillstore.io/skills/zl2023github-arch-tech-evaluation/audits/4?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/zl2023github-arch-tech-evaluation?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/zl2023github-arch-tech-evaluation?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/zl2023github-arch-tech-evaluation/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/zl2023github-arch-tech-evaluation.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>zl2023github. (2026). arch-tech-evaluation security audit report (audit version 4) [Author version unspecified]. Skillstore. https://skillstore.io/skills/zl2023github-arch-tech-evaluation/audits/4@techreport{zl2023github-zl2023github-arch-tech-evaluation-2026,
author = {zl2023github},
title = {arch-tech-evaluation security audit report (audit version 4)},
institution = {Skillstore},
year = {2026},
number = {4},
url = {https://skillstore.io/skills/zl2023github-arch-tech-evaluation/audits/4},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "arch-tech-evaluation security audit report (audit version 4)"
version: "unspecified"
type: report
authors:
- name: "zl2023github"
date-released: "2026-07-24"
url: "https://skillstore.io/skills/zl2023github-arch-tech-evaluation/audits/4"
identifiers:
- type: other
value: "skillstore:zl2023github-arch-tech-evaluation:audit:4"
description: "Skillstore immutable audit report identifier"
Compare message brokers against throughput, latency, durability, recovery, ecosystem, and operating requirements.
Evaluate frameworks against delivery needs, team experience, maintenance effort, security, and total cost.
Define proof-of-concept tests and record the final choice, evidence, risks, and rejected alternatives.
Compare [option A] and [option B] for [use case]. Focus on functionality, performance, cost, operations, and learning curve. Recommend one option.
Evaluate [candidates] for [system]. Use these constraints: [scale], [latency], [availability], [consistency], [budget], and [team experience]. Create a weighted comparison and identify missing information.
Design a proof of concept for choosing among [candidates]. Define hypotheses, workloads, metrics, pass criteria, failure tests, effort, and decision rules.
Assess [candidates] for [architecture]. Build a weighted scorecard, sensitivity analysis, risk register, migration plan, and final recommendation. Draft an ADR that records rejected alternatives and evidence gaps.
作成者
zl2023githubライセンス
MIT
Skillstore リビジョン
r2
バージョンに関する注意
作者はバージョンを宣言していません。
参照
88a8e9a07f4c54ab105c1c41b6267c287146b07b
メンテナンスの新しさ
2026/7/26
利用状況
4 ダウンロード · 0 閲覧
ファイル構成
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