Agent skill

Finding Classification

by revfactory in revfactory/harness-100

감사 발견사항 분류 및 보고 프레임워크. An agent skill from revfactory/harness-100.

Apache-2.0Auto-check passed

Install Finding Classification

skills CLI
$ npx skills add revfactory/harness-100 --skill finding-classification -a claude-code

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

GitHub CLI
$ gh skill install revfactory/harness-100 finding-classification --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/94-audit-report/.claude/skills/finding-classification .claude/skills/finding-classification && 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/

Facts

Skill name
finding-classification
GitHub stars
1.3k
Token cost
~582 tokens
SKILL.md length
219 words
Files
1
Skills in repo
464
Repo updated
First seen
Licence
Apache-2.0

At a glance

감사 발견사항 분류 및 보고 프레임워크. An agent skill from revfactory/harness-100.

  • SKILL.md covers 발견사항 등급 체계, 발견사항 보고서 구조, 근본원인 분석 (Root Cause) and 개선 권고 작성 규칙, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Finding Classification is an agent skill from revfactory/harness-100. 감사 발견사항 분류 및 보고 프레임워크. findings-analyst와 recommendation-writer 에이전트가 발견사항을 체계적으로 분류하고 개선 권고를 작성할 때 참조. '발견사항 분류', '감사 보고', '개선 권고' 요청 시 사용. 단, 법적 제재 결정이나 징계 절차는 범위 밖.

Its SKILL.md is about 580 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

  • “/finding-classification”

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

Finding Classification loads about 582 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 219 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~582

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). 219 words, ~582 tokens.

Download SKILL.mdSave it as .claude/skills/finding-classification/SKILL.md (or your agent's skills folder).
name
finding-classification
description
감사 발견사항 분류 및 보고 프레임워크. findings-analyst와 recommendation-writer 에이전트가 발견사항을 체계적으로 분류하고 개선 권고를 작성할 때 참조. '발견사항 분류', '감사 보고', '개선 권고' 요청 시 사용. 단, 법적 제재 결정이나 징계 절차는 범위 밖.

Finding Classification — 발견사항 분류 프레임워크

findings-analyst / recommendation-writer 에이전트의 발견사항 분류 및 보고 역량 강화.

발견사항 등급 체계

4등급 분류
등급명칭정의대응 기한
Critical심각중대 손실/법규 위반 위험즉시 (7일)
High높음중요 통제 실패, 반복 발생30일
Medium보통부분적 통제 미흡, 개선 필요90일
Low낮음효율성 개선, 모범사례 제안180일
분류 의사결정 트리
Q1: 재무적 영향 ₩1억 이상 또는 법규 위반?
├── YES → Critical
└── NO → Q2: 통제 실패가 반복적인가?
    ├── YES → High
    └── NO → Q3: 시정 조치 없으면 악화 가능?
        ├── YES → Medium
        └── NO → Low

발견사항 보고서 구조

발견사항 카드 (Finding Card)
markdown
## Finding F-[번호]: [제목]

### 등급: [Critical/High/Medium/Low]

### 조건 (Condition)
[발견된 현재 상태 — 사실만 기술]

### 기준 (Criteria)
[적용되어야 할 기준/규정/정책]

### 원인 (Cause)
[왜 기준과 차이가 발생했는가]

### 영향 (Effect)
[현재/잠재적 영향 — 가능하면 정량화]

### 권고 (Recommendation)
[구체적 개선 조치]

### 경영진 의견 (Management Response)
[담당 부서의 대응 계획]
- 합의 여부: □ 동의 □ 부분 동의 □ 미동의
- 시정 조치: [구체적 행동]
- 담당자: [이름/직함]
- 완료 기한: [YYYY-MM-DD]

근본원인 분석 (Root Cause)

원인 카테고리
카테고리설명예시
정책/절차 미비규정이 없거나 불충분승인 절차 미수립
인력/역량교육 부족, 인원 부족담당자 미교육
시스템/도구IT 통제 미흡접근 권한 관리 미비
감독/모니터링관리자 검토 부재대사 미수행
의사소통정보 전달 실패정책 변경 미공유

개선 권고 작성 규칙

SMART 권고
나쁜 예: "통제를 강화해야 한다"
좋은 예: "2025년 6월까지 모든 ₩500만 이상 지출에
         이중 승인 절차를 도입하고, 
         월간 대사를 통해 준수 여부를 확인한다"
권고 우선순위
기준배점
위험 감소 효과40%
구현 용이성25%
비용 효율20%
시급성15%

이행 추적 대장

Finding등급시정 조치담당기한상태검증일
F-01Critical[조치][이름][날짜]진행중-
F-02High[조치][이름][날짜]완료[날짜]
상태 정의
상태설명
미착수시정 조치 시작 전
진행중시정 조치 수행 중
완료시정 완료, 검증 대기
검증 완료감사인 검증 통과
종결최종 종결
기한 초과기한 경과, 미완료

품질 체크리스트

항목기준
4C 구조Condition, Criteria, Cause, Effect
등급 일관성의사결정 트리 적용
정량화영향을 금액/건수로 표시
권고 SMART구체적+측정+기한
경영진 의견합의/미합의 기록
추적이행 상태 5단계 관리

© revfactory, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in ko/94-audit-report/.claude/skills/finding-classification of revfactory/harness-100.

Open the folder on GitHubat commit 8e8d35c

Compare with similar skills

Finding Classification 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.

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SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Finding Classification this skillrevfactory/harness-1001.3k—~582Automated safety check: PassApache-2.0
Fd Findpenpot/penpot61k—~882Automated safety check: PassMPL-2.0
Find Matching Tenderssickn33/agentic-awesome-skills47k1 repos~1kAutomated safety check: PassApache-2.0
Cv Classificationaiming-lab/AutoResearchClaw15k—~304Automated safety check: PassMIT
Find In Notionsuperset-sh/superset15k—~763Automated safety check: PassCustom licence
Find In Superhumansuperset-sh/superset15k—~1kAutomated safety check: PassCustom licence

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Questions about Finding Classification

What does Finding Classification do?

감사 발견사항 분류 및 보고 프레임워크. An agent skill from revfactory/harness-100. Finding Classification is an agent skill from revfactory/harness-100. 감사 발견사항 분류 및 보고 프레임워크.

How do I install Finding Classification in Claude Code?

Run `npx skills add revfactory/harness-100 --skill finding-classification -a claude-code`. Or copy the skill folder (ko/94-audit-report/.claude/skills/finding-classification in revfactory/harness-100) into .claude/skills/finding-classification in your project. Claude Code loads it when a task matches its description.

How do I install Finding Classification in Codex?

Run `npx skills add revfactory/harness-100 --skill finding-classification -a codex`. Or copy the skill folder (ko/94-audit-report/.claude/skills/finding-classification in revfactory/harness-100) into .agents/skills/finding-classification in your project. Codex loads it when a task matches its description.

Can I use Finding Classification 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 finding-classification -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/finding-classification, .gemini/skills/finding-classification, .github/skills/finding-classification and .opencode/skills/finding-classification in your project.

What does Finding Classification need to run?

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

Does Finding Classification 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 Finding Classification 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 Finding Classification use?

Finding Classification 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 Finding Classification use?

About 582 tokens (SKILL.md is roughly 2.3k 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 Finding Classification?

Skills that share tags, products or a category with Finding Classification: Fd Find (penpot/penpot, 61k stars), Find Matching Tenders (sickn33/agentic-awesome-skills, 47k stars), Cv Classification (aiming-lab/AutoResearchClaw, 15k stars) and Find In Notion (superset-sh/superset, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Finding Classification?

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.