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Location scoring scorecard. 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/en/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/en/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/en/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/en/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/en/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/en/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/en/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 en/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/en/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/en/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/en/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/en/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/en/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/en/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
- ~1.1k tokens
- SKILL.md length
- 325 words
- Files
- 1
- Skills in repo
- 464
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Location scoring scorecard. An agent skill from revfactory/harness-100.
- Requests involving location analysis
- SKILL.md covers Location Evaluation Framework, Commercial Area Analysis…, Future Value Assessment and Location Comparison Report…, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Location assessment
What it does
Location Scoring is an agent skill from revfactory/harness-100. Location scoring scorecard. Referenced by the location-analyst agent for systematic real estate location evaluation. Use for requests involving 'location analysis', 'location assessment', or 'commercial area analysis'. On-site inspections and surveying are out of scope.
Its SKILL.md is about 1.1k 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, covering Real estate. The licence is Apache-2.0.
When your agent uses it
- Requests involving location analysis
- Location assessment
- Commercial area analysis
Example prompts
- “location analysis”
- “location assessment”
- “commercial area analysis”
- “/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 1.1k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 325 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). 325 words, ~1,106 tokens.
Download SKILL.mdSave it as
.claude/skills/location-scoring/SKILL.md (or your agent's skills folder).- name
- location-scoring
- description
- Location scoring scorecard. Referenced by the location-analyst agent for systematic real estate location evaluation. Use for requests involving 'location analysis', 'location assessment', or 'commercial area analysis'. On-site inspections and surveying are out of scope.
Location Scoring — Location Evaluation Scorecard
Systematizes the location-analyst agent's location analysis capabilities.
Location Evaluation Framework
Weighted Scorecard
| Evaluation Category | Weight (Residential) | Weight (Commercial) | Weight (Office) |
|---|---|---|---|
| Transit Accessibility | 25% | 20% | 30% |
| Living Infrastructure | 20% | 10% | 10% |
| School District | 20% | 5% | 5% |
| Development Catalysts | 15% | 20% | 20% |
| Population/Commercial Area | 5% | 25% | 15% |
| Environment/Safety | 10% | 10% | 10% |
| Future Value | 5% | 10% | 10% |
Category Scoring Criteria
Transit Accessibility
| Score | Criteria |
|---|---|
| 5 | Subway station within 5-minute walk, 2+ lines |
| 4 | Subway station within 10-minute walk, multiple bus routes |
| 3 | Subway station within 15-minute walk, major road access |
| 2 | Subway distant, bus-dependent |
| 1 | Poor public transit, personal vehicle required |
School District (Residential)
| Score | Criteria |
|---|---|
| 5 | Top-tier specialized schools, dense tutoring district |
| 4 | Strong school district, good educational environment |
| 3 | Average school district, basic educational facilities |
| 2 | Weak school district, limited tutoring options |
| 1 | Inadequate educational infrastructure |
Development Catalysts
| Score | Criteria |
|---|---|
| 5 | Confirmed development (under construction/in effect), direct beneficiary |
| 4 | Confirmed development, indirect beneficiary |
| 3 | In progress (permitting stage) |
| 2 | Planning stage (uncertain) |
| 1 | No catalysts or presence of nuisance facilities |
Commercial Area Analysis Framework
Commercial Area Types
| Type | Characteristics | Suitable Businesses |
|---|---|---|
| Transit Hub | High foot traffic, high rents | F&B, convenience stores, pharmacies |
| Office District | Weekday lunch crowd, office workers | Restaurants, cafes, convenience stores |
| Residential Area | Stable, repeat customers | Grocery, laundry, tutoring centers |
| University Area | Young demographic, trend-driven | Cafes, bars, fashion retail |
| Tourist Area | Weekends/peak season, high variability | Dining, souvenirs, lodging |
Foot Traffic Analysis
Evaluation Metrics:
- Average weekday foot traffic
- Average weekend foot traffic
- Time-of-day distribution (peak times)
- Age/gender breakdown
- Purpose (commuting/shopping/leisure)
Data Sources:
- National statistics foot traffic data
- Credit card transaction data
- On-site surveys (2 hours x 3 time slots)Future Value Assessment
Development Potential Indicators
| Indicator | Positive Signal | Negative Signal |
|---|---|---|
| Population Trends | Inflow > Outflow | Population decline |
| Transaction Volume | Upward trend | Decline/stagnation |
| New Supply | Balanced (relative to demand) | Oversupply |
| Development Plans | Express rail, new towns, industrial parks | Restrictions, nuisance facilities |
| Rental Demand | Waitlist demand exists | Rising vacancies |
Location Comparison Report Template
## Location Comparison: Area A vs Area B vs Area C
### Overall Scores
| Category | Area A | Area B | Area C |
|----------|--------|--------|--------|
| Transit | 4.5 | 3.8 | 4.0 |
| ... | ... | ... | ... |
| **Weighted Total** | **4.12** | **3.75** | **3.90** |
### Strengths & Weaknesses Summary
#### Area A
- Strengths: [Specific strengths]
- Weaknesses: [Specific weaknesses]
- Opportunities: [Development catalysts, etc.]
- Threats: [Risk factors]
### Investment Opinion
[Overall assessment and ranked recommendation]Quality Checklist
| Item | Criteria |
|---|---|
| Evaluation Categories | All 7 categories with weights applied |
| Comparison Targets | 3 or more locations |
| Data Basis | Public data utilized |
| On-Site Verification | Photos/field notes |
| SWOT | SWOT analysis per location |
| Future Outlook | 3-5 year forecast |
© 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 en/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 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Thue Tncn Vietnamdotanminh/thue-tncn-vietnam | 241 | — | ~2.8k | Automated safety check: Pass | None | |
| Apartment Finderhanzili/hanzi-browse | 177 | — | ~2.1k | Automated safety check: Pass | Custom licence | |
| Cre Due Diligenceahacker-1/cre-agent-skills | 112 | 1 repos | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Realestate Commercialzubair-trabzada/ai-realestate-claude | 176 | — | ~3.2k | Automated safety check: Pass | MIT | |
| Vet PRetewiah/awesome-real-estate | 374 | — | ~1.5k | Automated safety check: Pass | CC0-1.0 |
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Rigorous checklist for triaging PRs on the awesome-real-estate list.
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Related
Categories
Questions about Location Scoring
What does Location Scoring do?
Location scoring scorecard. An agent skill from revfactory/harness-100. Location Scoring is an agent skill from revfactory/harness-100. Location scoring scorecard.
When should I use Location Scoring?
Location Scoring fits situations like: requests involving location analysis; location assessment; commercial area analysis.
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 (en/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 (en/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 1.1k tokens (SKILL.md is roughly 4.4k 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: Thue Tncn Vietnam (dotanminh/thue-tncn-vietnam, 241 stars), Apartment Finder (hanzili/hanzi-browse, 177 stars), Cre Due Diligence (ahacker-1/cre-agent-skills, 112 stars) and Realestate Commercial (zubair-trabzada/ai-realestate-claude, 176 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.