Data Table Manager
n8n-io/n8n
Load before calling data-tables or parse-file. An agent skill from n8n-io/n8n.
Estimate driving/taxi duration, distance, and rough cost between two cities using the bundled distance matrix CSV.
Install Search Driving Distance
$ npx skills add benchflow-ai/skillsbench --skill search-driving-distance -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install benchflow-ai/skillsbench search-driving-distance --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/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks/travel-planning/environment/skills/search-driving-distance .claude/skills/search-driving-distance && 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 "search-driving-distance" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/travel-planning/environment/skills/search-driving-distance into .claude/skills/search-driving-distance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search-driving-distance", 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/benchflow-ai/skillsbench/tree/main/tasks/travel-planning/environment/skills/search-driving-distanceType 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 benchflow-ai/skillsbench --skill search-driving-distance -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install benchflow-ai/skillsbench search-driving-distance --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tasks/travel-planning/environment/skills/search-driving-distance .agents/skills/search-driving-distance && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "search-driving-distance" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/travel-planning/environment/skills/search-driving-distance into .agents/skills/search-driving-distance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search-driving-distance", 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 benchflow-ai/skillsbench --skill search-driving-distance -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install benchflow-ai/skillsbench search-driving-distance --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tasks/travel-planning/environment/skills/search-driving-distance .cursor/skills/search-driving-distance && 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 "search-driving-distance" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/travel-planning/environment/skills/search-driving-distance into .cursor/skills/search-driving-distance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search-driving-distance", 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/benchflow-ai/skillsbench.git --path tasks/travel-planning/environment/skills/search-driving-distance--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 benchflow-ai/skillsbench --skill search-driving-distance -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install benchflow-ai/skillsbench search-driving-distance --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tasks/travel-planning/environment/skills/search-driving-distance .gemini/skills/search-driving-distance && 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 "search-driving-distance" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/travel-planning/environment/skills/search-driving-distance into .gemini/skills/search-driving-distance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search-driving-distance", 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 benchflow-ai/skillsbench search-driving-distanceInstalls 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 benchflow-ai/skillsbench --skill search-driving-distance -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .github/skills && cp -r skills-src/tasks/travel-planning/environment/skills/search-driving-distance .github/skills/search-driving-distance && 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 "search-driving-distance" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/travel-planning/environment/skills/search-driving-distance into .github/skills/search-driving-distance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search-driving-distance", 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 benchflow-ai/skillsbench --skill search-driving-distance -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install benchflow-ai/skillsbench search-driving-distance --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tasks/travel-planning/environment/skills/search-driving-distance .opencode/skills/search-driving-distance && 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 "search-driving-distance" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/travel-planning/environment/skills/search-driving-distance into .opencode/skills/search-driving-distance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search-driving-distance", 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
search-driving-distance- GitHub stars
- 1.8k
- Token cost
- ~145 tokens
- SKILL.md length
- 14 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 189
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Estimate driving/taxi duration, distance, and rough cost between two cities using the bundled distance matrix CSV.
- Comparing ground travel options
- SKILL.md covers Installation and Quick Start
- Runs Python scripts from its folder; calls pip
- Validating itinerary legs
What it does
Search Driving Distance is an agent skill from benchflow-ai/skillsbench. Estimate driving/taxi duration, distance, and rough cost between two cities using the bundled distance matrix CSV. Use this skill when comparing ground travel options or validating itinerary legs.
Its SKILL.md is about 150 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/search_driving_distance.py`).
It sits in Documents & Office, covering CSV and tabular files. The repository describes itself as: SkillsBench evaluates how well skills work and how effective agents are at using them. The licence is Apache-2.0.
When your agent uses it
- Comparing ground travel options
- Validating itinerary legs
Example prompts
- “/search-driving-distance”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 9a1f4dd. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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
Search Driving Distance loads about 145 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 14 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); the scripts in this folder are not scanned.
SKILL.md
The full file from benchflow-ai/skillsbench at commit 9a1f4dd, republished under its Apache-2.0 licence (© benchflow-ai). 14 words, ~145 tokens.
Download SKILL.mdSave it as
.claude/skills/search-driving-distance/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- search-driving-distance
- description
- Estimate driving/taxi duration, distance, and rough cost between two cities using the bundled distance matrix CSV. Use this skill when comparing ground travel options or validating itinerary legs.
Search Driving Distance
Look up distance/duration between an origin and destination.
Installation
pip install pandas numpy requestsQuick Start
from search_driving_distance import GoogleDistanceMatrix
matrix = GoogleDistanceMatrix()
print(matrix.run("Seattle", "Portland", mode="driving"))© benchflow-ai, 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
SKILL.md and 1 other file (scripts) in tasks/travel-planning/environment/skills/search-driving-distance of benchflow-ai/skillsbench.
- SKILL.md
- scripts/search_driving_distance.py
Open the folder on GitHubat commit 9a1f4dd
Compare with similar skills
Search Driving Distance 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 |
|---|---|---|---|---|---|---|
| Search Driving Distance this skillbenchflow-ai/skillsbench | 1.8k | — | ~145 | Automated safety check: Pass | Apache-2.0 | |
| Data Table Managern8n-io/n8n | 207k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | 2 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Abuse Hunternexu-io/harness-engineering-guide | 664 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Intelligence Requirements BuilderTracecatHQ/tracecat | 3.8k | — | ~6k | Automated safety check: Pass | MIT | |
| Markitshift-labs-ai/markit | 1.3k | — | ~299 | Automated safety check: Pass | MIT |
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Categories
Questions about Search Driving Distance
What does Search Driving Distance do?
Estimate driving/taxi duration, distance, and rough cost between two cities using the bundled distance matrix CSV. Search Driving Distance is an agent skill from benchflow-ai/skillsbench. Estimate driving/taxi duration, distance, and rough cost between two cities using the bundled distance matrix CSV.
When should I use Search Driving Distance?
Search Driving Distance fits situations like: comparing ground travel options; validating itinerary legs.
How do I install Search Driving Distance in Claude Code?
Run `npx skills add benchflow-ai/skillsbench --skill search-driving-distance -a claude-code`. Or copy the skill folder (tasks/travel-planning/environment/skills/search-driving-distance in benchflow-ai/skillsbench) into .claude/skills/search-driving-distance in your project. Claude Code loads it when a task matches its description.
How do I install Search Driving Distance in Codex?
Run `npx skills add benchflow-ai/skillsbench --skill search-driving-distance -a codex`. Or copy the skill folder (tasks/travel-planning/environment/skills/search-driving-distance in benchflow-ai/skillsbench) into .agents/skills/search-driving-distance in your project. Codex loads it when a task matches its description.
Can I use Search Driving Distance 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 benchflow-ai/skillsbench --skill search-driving-distance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/search-driving-distance, .gemini/skills/search-driving-distance, .github/skills/search-driving-distance and .opencode/skills/search-driving-distance in your project.
What does Search Driving Distance need to run?
Going by SKILL.md and its folder, Search Driving Distance needs Python for the scripts in its folder and the command-line tools its instructions call (pip). Our summary lists: Python 3.
Does Search Driving Distance access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Search Driving Distance 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Search Driving Distance use?
Search Driving Distance 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 Search Driving Distance use?
About 145 tokens (SKILL.md is roughly 580 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 Search Driving Distance?
Skills that share tags, products or a category with Search Driving Distance: Data Table Manager (n8n-io/n8n, 207k stars), Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Abuse Hunter (nexu-io/harness-engineering-guide, 664 stars) and Intelligence Requirements Builder (TracecatHQ/tracecat, 3.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Search Driving Distance?
benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,835 GitHub stars. The repository holds 189 skills in this directory. The repository was last updated on July 23, 2026.
Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.