Agent skill

Quality Attribute Analyzer

아키텍처 결정에서 품질 속성(Quality Attributes)을 체계적으로 분석하고 트레이드오프를 정량화하는 전문 스킬.

Apache-2.0Auto-check passed

Install Quality Attribute Analyzer

skills CLI

$ npx skills add revfactory/harness-100 --skill quality-attribute-analyzer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 quality-attribute-analyzer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ko/62-adr-writer/.claude/skills/quality-attribute-analyzer .claude/skills/quality-attribute-analyzer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "quality-attribute-analyzer" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/62-adr-writer/.claude/skills/quality-attribute-analyzer into .claude/skills/quality-attribute-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quality-attribute-analyzer", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/revfactory/harness-100/tree/main/ko/62-adr-writer/.claude/skills/quality-attribute-analyzer

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add revfactory/harness-100 --skill quality-attribute-analyzer -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 quality-attribute-analyzer --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ko/62-adr-writer/.claude/skills/quality-attribute-analyzer .agents/skills/quality-attribute-analyzer && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "quality-attribute-analyzer" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/62-adr-writer/.claude/skills/quality-attribute-analyzer into .agents/skills/quality-attribute-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quality-attribute-analyzer", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add revfactory/harness-100 --skill quality-attribute-analyzer -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 quality-attribute-analyzer --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ko/62-adr-writer/.claude/skills/quality-attribute-analyzer .cursor/skills/quality-attribute-analyzer && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "quality-attribute-analyzer" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/62-adr-writer/.claude/skills/quality-attribute-analyzer into .cursor/skills/quality-attribute-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quality-attribute-analyzer", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/revfactory/harness-100.git --path ko/62-adr-writer/.claude/skills/quality-attribute-analyzer

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add revfactory/harness-100 --skill quality-attribute-analyzer -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 quality-attribute-analyzer --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ko/62-adr-writer/.claude/skills/quality-attribute-analyzer .gemini/skills/quality-attribute-analyzer && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "quality-attribute-analyzer" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/62-adr-writer/.claude/skills/quality-attribute-analyzer into .gemini/skills/quality-attribute-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quality-attribute-analyzer", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install revfactory/harness-100 quality-attribute-analyzer

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add revfactory/harness-100 --skill quality-attribute-analyzer -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .github/skills && cp -r skills-src/ko/62-adr-writer/.claude/skills/quality-attribute-analyzer .github/skills/quality-attribute-analyzer && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "quality-attribute-analyzer" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/62-adr-writer/.claude/skills/quality-attribute-analyzer into .github/skills/quality-attribute-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quality-attribute-analyzer", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add revfactory/harness-100 --skill quality-attribute-analyzer -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 quality-attribute-analyzer --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ko/62-adr-writer/.claude/skills/quality-attribute-analyzer .opencode/skills/quality-attribute-analyzer && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "quality-attribute-analyzer" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/62-adr-writer/.claude/skills/quality-attribute-analyzer into .opencode/skills/quality-attribute-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quality-attribute-analyzer", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: quality-attribute-analyzer
GitHub stars: 1.3k
Token cost: ~780 tokens
SKILL.md length: 227 words
Files: 1
Skills in repo: 464
Repo updated: Mar 22, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

아키텍처 결정에서 품질 속성(Quality Attributes)을 체계적으로 분석하고 트레이드오프를 정량화하는 전문 스킬.

SKILL.md covers 적용 대상 에이전트, 핵심 품질 속성 (-ility) 사전, 품질 속성 트레이드오프 매트릭스 and 가중 평가 매트릭스 (Weighted Scoring), plus 1 more section
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Quality Attribute Analyzer is an agent skill from revfactory/harness-100. 아키텍처 결정에서 품질 속성(Quality Attributes)을 체계적으로 분석하고 트레이드오프를 정량화하는 전문 스킬. tradeoff-evaluator 에이전트가 성능/확장성/보안 등 품질 속성 간 트레이드오프를 평가할 때 활용한다. '품질 속성', 'QA 분석', '-ility', '성능 요구사항', '확장성', '보안', 'CAP 정리' 등의 맥락에서 자동 적용한다. 단, 실제 성능 테스트 실행이나 보안 감사는 이 스킬의 범위가 아니다.

Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The licence is Apache-2.0.

Example prompts

“-ility”
“CAP 정리”
“/quality-attribute-analyzer”

What it can do on your machine

Read from SKILL.md and the folder at commit 8e8d35c. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Quality Attribute Analyzer loads about 780 tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 227 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~70
When it runs · the whole SKILL.md, loaded when a task matches: ~780

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 227 words, ~780 tokens.

Download SKILL.mdSave it as .claude/skills/quality-attribute-analyzer/SKILL.md (or your agent's skills folder).

name: quality-attribute-analyzer
description: 아키텍처 결정에서 품질 속성(Quality Attributes)을 체계적으로 분석하고 트레이드오프를 정량화하는 전문 스킬. tradeoff-evaluator 에이전트가 성능/확장성/보안 등 품질 속성 간 트레이드오프를 평가할 때 활용한다. '품질 속성', 'QA 분석', '-ility', '성능 요구사항', '확장성', '보안', 'CAP 정리' 등의 맥락에서 자동 적용한다. 단, 실제 성능 테스트 실행이나 보안 감사는 이 스킬의 범위가 아니다.

Quality Attribute Analyzer — 품질 속성 분석 도구

tradeoff-evaluator 에이전트의 품질 속성 분석 역량을 강화하는 전문 스킬.

적용 대상 에이전트

tradeoff-evaluator — 품질 속성 가중 평가, 리스크-보상 분석

핵심 품질 속성 (-ility) 사전

런타임 품질 속성

속성	정의	측정 지표	일반 목표
성능 (Performance)	응답 시간, 처리량	p50/p99 레이턴시, TPS	p99 < 200ms
확장성 (Scalability)	부하 증가 시 대응력	선형 스케일링 여부	10x 부하에서 선형
가용성 (Availability)	시스템 가동 시간	Uptime %, MTBF	99.9% (Three 9s)
신뢰성 (Reliability)	오류 없는 작동	장애율, MTTR	MTTR < 30분
보안 (Security)	위협으로부터 보호	취약점 수, 침해 건수	OWASP Top 10 대응

개발/운영 품질 속성

속성	정의	측정 지표
유지보수성 (Maintainability)	수정 용이성	코드 복잡도, 변경 리드타임
테스트 용이성 (Testability)	테스트 작성 용이	커버리지, 테스트 실행 시간
배포 용이성 (Deployability)	배포 빈도, 안전성	배포 빈도, 롤백 시간
관찰 가능성 (Observability)	시스템 상태 파악	로그, 메트릭, 트레이싱

품질 속성 트레이드오프 매트릭스

일반적 트레이드오프 관계

속성 A ↑	→ 속성 B ↓	이유
성능	유지보수성	최적화 코드는 복잡해짐
보안	성능/사용성	인증/암호화 오버헤드
확장성	일관성	CAP 정리
가용성	일관성	CAP 정리
유연성	성능	추상화 레이어 오버헤드

CAP 정리 의사결정

분산 시스템에서 3가지 중 2가지만 보장 가능:
- Consistency (일관성)
- Availability (가용성)
- Partition tolerance (분할 허용)

실무 선택:
┌──────────┬──────────┬──────────┐
│   CP     │    AP    │    CA    │
│ 일관성+  │ 가용성+  │ 일관성+  │
│ 분할허용 │ 분할허용 │ 가용성   │
├──────────┼──────────┼──────────┤
│ HBase    │ Cassandra│ 전통RDBMS│
│ MongoDB  │ DynamoDB │ (단일노드)│
│ Redis    │ CouchDB  │          │
└──────────┴──────────┴──────────┘

가중 평가 매트릭스 (Weighted Scoring)

평가 절차

1. 품질 속성별 가중치 설정 (합계 100%)
2. 각 대안을 속성별로 1-5점 평가
3. 가중 점수 = 가중치 × 점수
4. 총점으로 대안 순위화

템플릿

markdown

| 품질 속성 | 가중치 | 대안A | 가중A | 대안B | 가중B | 대안C | 가중C |
|----------|--------|------|------|------|------|------|------|
| 성능 | 25% | 4 | 1.00 | 3 | 0.75 | 5 | 1.25 |
| 확장성 | 20% | 5 | 1.00 | 4 | 0.80 | 3 | 0.60 |
| 보안 | 20% | 3 | 0.60 | 4 | 0.80 | 4 | 0.80 |
| 유지보수성 | 15% | 2 | 0.30 | 4 | 0.60 | 3 | 0.45 |
| 비용 | 10% | 3 | 0.30 | 5 | 0.50 | 2 | 0.20 |
| 학습곡선 | 10% | 4 | 0.40 | 3 | 0.30 | 2 | 0.20 |
| **합계** | **100%** | | **3.60** | | **3.75** | | **3.50** |

가중치 결정 기준

프로젝트 유형	성능	확장성	보안	유지보수	비용
스타트업 MVP	10%	15%	10%	25%	25%
핀테크	20%	15%	30%	15%	10%
소셜 플랫폼	25%	30%	10%	15%	10%
기업 내부 시스템	10%	10%	20%	25%	25%

ATAM(Architecture Tradeoff Analysis Method) 간소화

6단계 분석

1. 아키텍처 드라이버 식별
   → 핵심 비즈니스 목표 + 품질 속성 시나리오

2. 유틸리티 트리 작성
   → 품질 속성 → 세부 항목 → 시나리오 → 우선순위(H/M/L)

3. 아키텍처 접근 방식 분석
   → 각 접근 방식이 시나리오에 미치는 영향

4. 민감점/트레이드오프 식별
   → 어떤 결정이 어떤 속성에 민감한가

5. 리스크/비리스크 분류
   → 해결된 트레이드오프 vs 미해결 리스크

6. 결과 정리
   → ADR에 반영할 핵심 트레이드오프 목록

Files

Just SKILL.md in ko/62-adr-writer/.claude/skills/quality-attribute-analyzer of revfactory/harness-100.

Open the folder on GitHubat commit 8e8d35c

Compare with similar skills

Quality Attribute Analyzer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Quality Attribute Analyzer compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Quality Attribute Analyzer this skillrevfactory/harness-100	1.3k	—	~780	Automated safety check: Pass	Apache-2.0	6 mo ago
Campaign Attribution Evidence Analysismukul975/Anthropic-Cybersecurity-Skills	34k	—	~2.3k	Automated safety check: Pass	Apache-2.0	1 mo ago
Agent Code Analyzerruvnet/ruflo	74k	3 repos	~1.5k	Automated safety check: Pass	MIT	today
Agent Pagerank Analyzerruvnet/ruflo	74k	3 repos	~2.9k	Automated safety check: Pass	MIT	today
Agent Performance Analyzerruvnet/ruflo	74k	2 repos	~1.3k	Automated safety check: Pass	MIT	today
Diff Analyzeruvnet/ruflo	74k	—	~450	Automated safety check: Notes	MIT	today

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Questions about Quality Attribute Analyzer

What does Quality Attribute Analyzer do?

아키텍처 결정에서 품질 속성(Quality Attributes)을 체계적으로 분석하고 트레이드오프를 정량화하는 전문 스킬. Quality Attribute Analyzer is an agent skill from revfactory/harness-100. 아키텍처 결정에서 품질 속성(Quality Attributes)을 체계적으로 분석하고 트레이드오프를 정량화하는 전문 스킬.

How do I install Quality Attribute Analyzer in Claude Code?

Run `npx skills add revfactory/harness-100 --skill quality-attribute-analyzer -a claude-code`. Or copy the skill folder (ko/62-adr-writer/.claude/skills/quality-attribute-analyzer in revfactory/harness-100) into .claude/skills/quality-attribute-analyzer in your project. Claude Code loads it when a task matches its description.

How do I install Quality Attribute Analyzer in Codex?

Run `npx skills add revfactory/harness-100 --skill quality-attribute-analyzer -a codex`. Or copy the skill folder (ko/62-adr-writer/.claude/skills/quality-attribute-analyzer in revfactory/harness-100) into .agents/skills/quality-attribute-analyzer in your project. Codex loads it when a task matches its description.

Can I use Quality Attribute Analyzer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add revfactory/harness-100 --skill quality-attribute-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/quality-attribute-analyzer, .gemini/skills/quality-attribute-analyzer, .github/skills/quality-attribute-analyzer and .opencode/skills/quality-attribute-analyzer in your project.

What does Quality Attribute Analyzer need to run?

SKILL.md names no scripts, command-line tools or credentials: Quality Attribute Analyzer is instructions for the agent only.

Does Quality Attribute Analyzer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Quality Attribute Analyzer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Quality Attribute Analyzer use?

Quality Attribute Analyzer is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Quality Attribute Analyzer use?

About 780 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Quality Attribute Analyzer?

Skills that share tags, products or a category with Quality Attribute Analyzer: Campaign Attribution Evidence Analysis (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Agent Code Analyzer (ruvnet/ruflo, 74k stars), Agent Pagerank Analyzer (ruvnet/ruflo, 74k stars) and Agent Performance Analyzer (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Quality Attribute Analyzer?

revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.

Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Quality Attribute Analyzer

Facts

At a glance

What it does

Example prompts

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Quality Attribute Analyzer — 품질 속성 분석 도구

적용 대상 에이전트

핵심 품질 속성 (-ility) 사전

런타임 품질 속성

개발/운영 품질 속성

품질 속성 트레이드오프 매트릭스

일반적 트레이드오프 관계

CAP 정리 의사결정

가중 평가 매트릭스 (Weighted Scoring)

평가 절차

템플릿

가중치 결정 기준

ATAM(Architecture Tradeoff Analysis Method) 간소화

6단계 분석

Files

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Questions about Quality Attribute Analyzer