Agent skill

Scoring Optimizer

by revfactory in revfactory/harness-100

정부지원사업 평가 배점표를 분석하여 고득점 전략을 수립하는 방법론. An agent skill from revfactory/harness-100.

Apache-2.0Auto-check passed

Install Scoring Optimizer

skills CLI
$ npx skills add revfactory/harness-100 --skill scoring-optimizer -a claude-code

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

GitHub CLI
$ gh skill install revfactory/harness-100 scoring-optimizer --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/45-gov-funding-plan/.claude/skills/scoring-optimizer .claude/skills/scoring-optimizer && 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
scoring-optimizer
GitHub stars
1.3k
Token cost
~644 tokens
SKILL.md length
75 words
Files
1
Skills in repo
464
Repo updated
First seen
Licence
Apache-2.0

At a glance

정부지원사업 평가 배점표를 분석하여 고득점 전략을 수립하는 방법론. An agent skill from revfactory/harness-100.

  • SKILL.md covers 대상 에이전트, 평가 항목별 고득점 전략, 감점 방지 체크리스트 and 공고문 키워드 분석 방법, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Scoring Optimizer is an agent skill from revfactory/harness-100. 정부지원사업 평가 배점표를 분석하여 고득점 전략을 수립하는 방법론. '평가 배점 분석', '고득점 전략', '평가 기준 최적화', '심사 대비', '서류/발표 평가 준비' 등 정부과제 평가 대비 시 사용한다. 단, 심사위원 접촉, 실제 발표 대행은 이 스킬의 범위가 아니다.

Its SKILL.md is about 640 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

  • “/scoring-optimizer”

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

Scoring Optimizer loads about 644 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 75 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~644

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). 75 words, ~644 tokens.

Download SKILL.mdSave it as .claude/skills/scoring-optimizer/SKILL.md (or your agent's skills folder).
name
scoring-optimizer
description
정부지원사업 평가 배점표를 분석하여 고득점 전략을 수립하는 방법론. '평가 배점 분석', '고득점 전략', '평가 기준 최적화', '심사 대비', '서류/발표 평가 준비' 등 정부과제 평가 대비 시 사용한다. 단, 심사위원 접촉, 실제 발표 대행은 이 스킬의 범위가 아니다.

Scoring Optimizer — 정부과제 평가 고득점 전략

tech-writer, biz-writer의 고득점 작성 전략을 강화하는 스킬.

대상 에이전트

  • tech-writer — 기술성 평가 고득점 전략을 적용한다
  • biz-writer — 사업성 평가 고득점 전략을 적용한다
  • submission-reviewer — 평가 기준 대비 완성도를 검증한다

평가 항목별 고득점 전략

기술성 평가 (일반 40-50점)
기술 개발 목표 및 내용 (15-20점)
고득점 전략:
1. 개발 목표를 정량 지표로 제시
   BAD: "성능을 향상시킨다"
   GOOD: "처리 속도 기존 대비 300% 향상 (100ms → 30ms)"

2. 기존 기술 대비 차별성 3가지 이상 제시
   - 성능 차별성 (속도, 정확도)
   - 방법론 차별성 (새로운 접근)
   - 적용 범위 차별성 (확장성)

3. 핵심 기술 요소를 도식화
   - 시스템 아키텍처 다이어그램
   - 기술 로드맵 (단계별)
   - 알고리즘 흐름도

4. 특허/논문 분석으로 기술 트렌드 제시
추진 체계 및 일정 (10-15점)
고득점 전략:
1. WBS (Work Breakdown Structure) 상세화
   - 단계 → 세부과제 → 세세부과제 3단계
   - 마일스톤 명확 (Go/No-Go 기준)

2. 간트차트 필수 포함
   - 월별 진도 계획
   - 의존 관계 표시
   - 크리티컬 패스 식별

3. 인력 투입 계획
   - 역할별 M/M (Man-Month)
   - 역량 매칭 (학위, 경력, 프로젝트)

4. 위험 관리 계획
   - 기술적 리스크 3가지 + 대응 방안
   - 일정 리스크 + 버퍼 계획
사업성 평가 (일반 30-40점)
시장성 (10-15점)
고득점 전략:
1. 시장 규모 이중 검증 (상향식 + 하향식)
2. 국내+해외 시장 모두 기술
3. CAGR + 성장 동인 3가지
4. 목표 시장 세그먼트 구체화
5. 정부 정책 연계 (정책 키워드 반영)
사업화 전략 (10-15점)
고득점 전략:
1. 사업화 로드맵 (기술개발 → 인허가 → 양산 → 판매)
2. 매출 계획 (3-5년, 보수적 시나리오 포함)
3. 판로 확보 방안 구체화 (LOI, 시범사업)
4. 수익 모델 + 가격 전략
5. 지식재산권 확보 계획 (특허, 인증)

감점 방지 체크리스트

[ ] 평가 항목별 페이지 수가 배점에 비례하는가?
[ ] 모든 평가 항목에 대응하는 내용이 있는가?
[ ] 정량적 수치에 출처가 명시되어 있는가?
[ ] 도표/그림이 적절히 포함되어 있는가? (3-5개/10페이지)
[ ] 오탈자/문법 오류가 없는가?
[ ] 공고문의 핵심 키워드가 반영되어 있는가?
[ ] 제출 양식을 정확히 따르고 있는가?
[ ] 페이지 제한을 초과하지 않는가?
[ ] 참고문헌이 최근 3년 이내인가?
[ ] 연구 윤리/보안 관련 사항이 기재되어 있는가?

공고문 키워드 분석 방법

1. 공고문에서 반복되는 키워드 추출
2. 평가 기준에 사용된 형용사/부사 수집
   예: "혁신적", "차별화된", "구체적인"
3. 정책 키워드 매핑
   예: "디지털 전환", "탄소중립", "초격차"
4. 사업계획서에 해당 키워드를 자연스럽게 반영
5. 키워드 출현 빈도 체크 (최소 3회 이상)

평가 점수 자가 진단표

markdown
| 평가 항목 | 배점 | 자가 점수 | 근거 | 개선 방향 |
|----------|------|----------|------|----------|
| 기술 개발 목표 | 20 | | | |
| 기술 차별성 | 15 | | | |
| 추진 체계 | 10 | | | |
| 시장성 | 15 | | | |
| 사업화 전략 | 15 | | | |
| 팀 역량 | 10 | | | |
| 예산 적정성 | 10 | | | |
| 정책 부합성 | 5 | | | |
| **합계** | **100** | | | |

통과 기준: 보통 60-70점 이상
경쟁력 기준: 80점 이상 목표

발표 평가 대비

시간 배분 (10분 발표 기준):
  1분: 기업/팀 소개
  2분: 문제 정의 + 기술 개발 목표
  3분: 핵심 기술 + 차별성
  2분: 시장성 + 사업화 전략
  1분: 추진 일정 + 기대 효과
  1분: 마무리 + Q&A 준비

Q&A 대비 TOP 5:
  1. "기존 기술과 뭐가 다른가요?"
  2. "시장 규모 근거가 무엇인가요?"
  3. "팀에 부족한 역량은 어떻게 보완하나요?"
  4. "예산 이 항목이 왜 필요한가요?"
  5. "사업화 일정이 현실적인가요?"

© 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/45-gov-funding-plan/.claude/skills/scoring-optimizer of revfactory/harness-100.

Open the folder on GitHubat commit 8e8d35c

Compare with similar skills

Scoring Optimizer 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.

Scoring Optimizer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scoring Optimizer this skillrevfactory/harness-1001.3k—~644Automated safety check: PassApache-2.0
SQL Optimizationgithub/awesome-copilot40k2 repos~2.3kAutomated safety check: PassMIT
Agent Performance Optimizerruvnet/ruflo74k2 repos~3.6kAutomated safety check: PassMIT
Database Optimizerdavila7/claude-code-templates32k7 repos~2.5kAutomated safety check: PassMIT
Prompt Optimizeraffaan-m/ECC274k2 repos~2.4kAutomated safety check: PassMIT
Cost Optimizeruvnet/ruflo74k—~997Automated safety check: NotesMIT

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Questions about Scoring Optimizer

What does Scoring Optimizer do?

정부지원사업 평가 배점표를 분석하여 고득점 전략을 수립하는 방법론. An agent skill from revfactory/harness-100. Scoring Optimizer is an agent skill from revfactory/harness-100. 정부지원사업 평가 배점표를 분석하여 고득점 전략을 수립하는 방법론.

How do I install Scoring Optimizer in Claude Code?

Run `npx skills add revfactory/harness-100 --skill scoring-optimizer -a claude-code`. Or copy the skill folder (ko/45-gov-funding-plan/.claude/skills/scoring-optimizer in revfactory/harness-100) into .claude/skills/scoring-optimizer in your project. Claude Code loads it when a task matches its description.

How do I install Scoring Optimizer in Codex?

Run `npx skills add revfactory/harness-100 --skill scoring-optimizer -a codex`. Or copy the skill folder (ko/45-gov-funding-plan/.claude/skills/scoring-optimizer in revfactory/harness-100) into .agents/skills/scoring-optimizer in your project. Codex loads it when a task matches its description.

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

What does Scoring Optimizer need to run?

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

Does Scoring Optimizer 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 Scoring Optimizer 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 Scoring Optimizer use?

Scoring Optimizer 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 Scoring Optimizer use?

About 644 tokens (SKILL.md is roughly 2.6k 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 Scoring Optimizer?

Skills that share tags, products or a category with Scoring Optimizer: SQL Optimization (github/awesome-copilot, 40k stars), Agent Performance Optimizer (ruvnet/ruflo, 74k stars), Database Optimizer (davila7/claude-code-templates, 32k stars) and Prompt Optimizer (affaan-m/ECC, 274k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scoring Optimizer?

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.