Technical Analyst
tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.
입지 평가 스코어카드. An agent skill from revfactory/harness-100.
Install Location Scoring
$ npx skills add revfactory/harness-100 --skill location-scoring -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install revfactory/harness-100 location-scoring --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ko/96-real-estate-analyst/.claude/skills/location-scoring .claude/skills/location-scoring && rm -rf skills-srcUse ~/.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/
Install the "location-scoring" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/96-real-estate-analyst/.claude/skills/location-scoring into .claude/skills/location-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "location-scoring", 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 install https://github.com/revfactory/harness-100/tree/main/ko/96-real-estate-analyst/.claude/skills/location-scoringType 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.
$ npx skills add revfactory/harness-100 --skill location-scoring -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install revfactory/harness-100 location-scoring --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ko/96-real-estate-analyst/.claude/skills/location-scoring .agents/skills/location-scoring && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "location-scoring" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/96-real-estate-analyst/.claude/skills/location-scoring into .agents/skills/location-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "location-scoring", 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.
$ npx skills add revfactory/harness-100 --skill location-scoring -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install revfactory/harness-100 location-scoring --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ko/96-real-estate-analyst/.claude/skills/location-scoring .cursor/skills/location-scoring && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "location-scoring" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/96-real-estate-analyst/.claude/skills/location-scoring into .cursor/skills/location-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "location-scoring", 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 https://github.com/revfactory/harness-100.git --path ko/96-real-estate-analyst/.claude/skills/location-scoring--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add revfactory/harness-100 --skill location-scoring -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install revfactory/harness-100 location-scoring --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ko/96-real-estate-analyst/.claude/skills/location-scoring .gemini/skills/location-scoring && rm -rf skills-srcUse ~/.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/
Install the "location-scoring" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/96-real-estate-analyst/.claude/skills/location-scoring into .gemini/skills/location-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "location-scoring", 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.
$ gh skill install revfactory/harness-100 location-scoringInstalls 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).
$ npx skills add revfactory/harness-100 --skill location-scoring -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .github/skills && cp -r skills-src/ko/96-real-estate-analyst/.claude/skills/location-scoring .github/skills/location-scoring && rm -rf skills-srcUse ~/.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/
Install the "location-scoring" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/96-real-estate-analyst/.claude/skills/location-scoring into .github/skills/location-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "location-scoring", 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.
$ npx skills add revfactory/harness-100 --skill location-scoring -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install revfactory/harness-100 location-scoring --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ko/96-real-estate-analyst/.claude/skills/location-scoring .opencode/skills/location-scoring && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "location-scoring" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/96-real-estate-analyst/.claude/skills/location-scoring into .opencode/skills/location-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "location-scoring", 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
location-scoring- GitHub stars
- 1.3k
- Token cost
- ~554 tokens
- SKILL.md length
- 274 words
- Files
- 1
- Skills in repo
- 464
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
입지 평가 스코어카드. An agent skill from revfactory/harness-100.
- Business, Finance & HR work in your project
- SKILL.md covers 입지 평가 프레임워크, 상권 분석 프레임워크, 미래 가치 평가 and 입지 비교 보고서 템플릿, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Location Scoring is an agent skill from revfactory/harness-100. 입지 평가 스코어카드. location-analyst 에이전트가 부동산 입지를 체계적으로 평가할 때 참조. '입지 분석', '입지 평가', '상권 분석' 요청 시 사용. 단, 현장 실사 대행이나 측량은 범위 밖.
Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Business, Finance & HR. The licence is Apache-2.0.
When your agent uses it
- Business, Finance & HR work in your project
Example prompts
- “/location-scoring”
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
Location Scoring loads about 554 tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 274 words of instructions outside code blocks.
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). 274 words, ~554 tokens.
Download SKILL.mdSave it as
.claude/skills/location-scoring/SKILL.md (or your agent's skills folder).- name
- location-scoring
- description
- 입지 평가 스코어카드. location-analyst 에이전트가 부동산 입지를 체계적으로 평가할 때 참조. '입지 분석', '입지 평가', '상권 분석' 요청 시 사용. 단, 현장 실사 대행이나 측량은 범위 밖.
Location Scoring — 입지 평가 스코어카드
location-analyst 에이전트의 입지 분석 체계화.
입지 평가 프레임워크
가중 스코어카드
| 평가 항목 | 가중치(주거) | 가중치(상업) | 가중치(오피스) |
|---|---|---|---|
| 교통 접근성 | 25% | 20% | 30% |
| 생활 인프라 | 20% | 10% | 10% |
| 학군 | 20% | 5% | 5% |
| 개발 호재 | 15% | 20% | 20% |
| 인구/상권 | 5% | 25% | 15% |
| 환경/안전 | 10% | 10% | 10% |
| 미래 가치 | 5% | 10% | 10% |
항목별 평가 기준
교통 접근성
| 점수 | 기준 |
|---|---|
| 5 | 지하철역 도보 5분 이내, 2개 이상 노선 |
| 4 | 지하철역 도보 10분, 버스 다수 |
| 3 | 지하철역 도보 15분, 주요 도로 접근 |
| 2 | 지하철 원거리, 버스 의존 |
| 1 | 대중교통 불편, 자차 필수 |
학군 (주거용)
| 점수 | 기준 |
|---|---|
| 5 | 특목고/강남8학군급, 학원가 밀집 |
| 4 | 우수 학군, 교육 환경 양호 |
| 3 | 평균 학군, 기본 교육 시설 |
| 2 | 학군 약세, 학원 부족 |
| 1 | 교육 인프라 미흡 |
개발 호재
| 점수 | 기준 |
|---|---|
| 5 | 확정 개발 (착공/시행), 직접 수혜 |
| 4 | 확정 개발, 간접 수혜 |
| 3 | 추진 중 (인허가 단계) |
| 2 | 계획 단계 (불확실) |
| 1 | 호재 없음 또는 혐오시설 |
상권 분석 프레임워크
상권 유형
| 유형 | 특성 | 적합 업종 |
|---|---|---|
| 역세권 | 유동인구 높음, 임대료 높음 | F&B, 편의점, 약국 |
| 오피스 상권 | 주중 점심, 직장인 | 식당, 카페, 편의점 |
| 주거 상권 | 안정적, 단골 | 슈퍼, 세탁, 학원 |
| 대학가 | 젊은 층, 트렌드 | 카페, 주점, 패션 |
| 관광 상권 | 주말/성수기, 변동 큼 | 음식, 기념품, 숙박 |
유동인구 분석
평가 지표:
- 주중 평균 유동인구
- 주말 평균 유동인구
- 시간대별 분포 (피크 타임)
- 연령대/성별 비율
- 목적 (통근/쇼핑/여가)
데이터 소스:
- 통계청 유동인구 데이터
- 카드사 매출 데이터
- 현장 조사 (2시간 × 3타임)미래 가치 평가
발전 잠재력 지표
| 지표 | 긍정 신호 | 부정 신호 |
|---|---|---|
| 인구 추이 | 전입 > 전출 | 인구 감소 |
| 거래량 | 증가 추세 | 감소/정체 |
| 신규 공급 | 적정 (수요 대비) | 과잉 공급 |
| 개발 계획 | GTX, 신도시, 산단 | 규제, 혐오시설 |
| 임대 수요 | 대기 수요 존재 | 공실 증가 |
입지 비교 보고서 템플릿
## 입지 비교: A지역 vs B지역 vs C지역
### 종합 스코어
| 항목 | A지역 | B지역 | C지역 |
|------|-------|-------|-------|
| 교통 | 4.5 | 3.8 | 4.0 |
| ... | ... | ... | ... |
| **가중 총점** | **4.12** | **3.75** | **3.90** |
### 장단점 요약
#### A지역
- 강점: [구체적 강점]
- 약점: [구체적 약점]
- 기회: [개발 호재 등]
- 위협: [리스크 요소]
### 투자 의견
[종합적 판단 및 추천 순위]품질 체크리스트
| 항목 | 기준 |
|---|---|
| 평가 항목 | 7대 항목 가중치 적용 |
| 비교 대상 | 3곳 이상 |
| 데이터 근거 | 공공 데이터 활용 |
| 현장 확인 | 사진/현장 노트 |
| SWOT | 각 입지별 SWOT |
| 미래 전망 | 3~5년 예측 |
© 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/96-real-estate-analyst/.claude/skills/location-scoring of revfactory/harness-100.
Open the folder on GitHubat commit 8e8d35c
Compare with similar skills
Location Scoring 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Location Scoring this skillrevfactory/harness-100 | 1.3k | — | ~554 | Automated safety check: Pass | Apache-2.0 | |
| Technical Analysttradermonty/claude-trading-skills | 3k | 5 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Creating Financial ModelsChen-zexi/open-ptc-agent | 730 | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Theme Detectortradermonty/claude-trading-skills | 3k | 2 repos | ~4.9k | Automated safety check: Pass | MIT | |
| Stock APIzhangxiangliang/stock-api | 2k | — | ~507 | Automated safety check: Pass | MIT | |
| Itr Walakaranb192/itr-wala | 871 | — | ~3.6k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Location Scoring
What does Location Scoring do?
입지 평가 스코어카드. An agent skill from revfactory/harness-100. Location Scoring is an agent skill from revfactory/harness-100. 입지 평가 스코어카드.
When should I use Location Scoring?
Location Scoring fits situations like: business, Finance & HR work in your project.
How do I install Location Scoring in Claude Code?
Run `npx skills add revfactory/harness-100 --skill location-scoring -a claude-code`. Or copy the skill folder (ko/96-real-estate-analyst/.claude/skills/location-scoring in revfactory/harness-100) into .claude/skills/location-scoring in your project. Claude Code loads it when a task matches its description.
How do I install Location Scoring in Codex?
Run `npx skills add revfactory/harness-100 --skill location-scoring -a codex`. Or copy the skill folder (ko/96-real-estate-analyst/.claude/skills/location-scoring in revfactory/harness-100) into .agents/skills/location-scoring in your project. Codex loads it when a task matches its description.
Can I use Location Scoring 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 location-scoring -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/location-scoring, .gemini/skills/location-scoring, .github/skills/location-scoring and .opencode/skills/location-scoring in your project.
What does Location Scoring need to run?
SKILL.md names no scripts, command-line tools or credentials: Location Scoring is instructions for the agent only.
Does Location Scoring 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 Location Scoring 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 Location Scoring use?
Location Scoring 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 Location Scoring use?
About 554 tokens (SKILL.md is roughly 2.2k 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 Location Scoring?
Skills that share tags, products or a category with Location Scoring: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 730 stars), Theme Detector (tradermonty/claude-trading-skills, 3k stars) and Stock API (zhangxiangliang/stock-api, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Location Scoring?
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.