Agent skill

Find Nearby

by RedWoodOG in RedWoodOG/Hermes-Desktop

Find nearby places (restaurants, cafes, bars, pharmacies, etc.) using OpenStreetMap.

No licenceAuto-check passed

Install Find Nearby

skills CLI
$ npx skills add RedWoodOG/Hermes-Desktop --skill find-nearby -a claude-code

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

GitHub CLI
$ gh skill install RedWoodOG/Hermes-Desktop find-nearby --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/RedWoodOG/Hermes-Desktop.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/leisure/find-nearby .claude/skills/find-nearby && 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
find-nearby
GitHub stars
177
Token cost
~769 tokens
SKILL.md length
271 words
Files
2 (incl. scripts)
Skills in repo
62
Repo updated
First seen
Licence
None found

At a glance

Find nearby places (restaurants, cafes, bars, pharmacies, etc.) using OpenStreetMap.

  • Works in 5 steps: Get the location. Look for coordinates… → Ask for preferences (only if not already… → Run the script with appropriate flags.… → …
  • SKILL.md covers Quick Reference, Workflow and Tips
  • Runs Python scripts from its folder; calls python3; reaches google.com

What it does

Find Nearby is an agent skill from RedWoodOG/Hermes-Desktop. Find nearby places (restaurants, cafes, bars, pharmacies, etc.) using OpenStreetMap. Works with coordinates, addresses, cities, zip codes, or Telegram location pins. No API keys needed.

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/find_nearby.py`).

It works with Telegram.

Example prompts

  • “/find-nearby”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Get the location. Look for coordinates (latitude: ... / longitude: ...) from a Telegram pin, or ask the user for an address/city/zip.
  2. Ask for preferences (only if not already stated): place type, how far they're willing to go, any specifics (cuisine, "open now", etc.).
  3. Run the script with appropriate flags. Use --json if you need to process results programmatically.
  4. Present results with names, distances, and Google Maps links. If the user asked about hours or "open now," check the hours field in…
  5. For directions, use the directions_url from results, or construct: https://www.google.com/maps/dir/?api=1&origin=,&destination=,

What it can do on your machine

Read from SKILL.md and the folder at commit be46b39. 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:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • google.com

    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

Find Nearby loads about 769 tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 271 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~49
When it runs · the whole SKILL.md, loaded when a task matches
~769

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 271 words (~769 tokens).

“Find restaurants, cafes, bars, pharmacies, and other places near any location. Uses OpenStreetMap (free, no API keys). Works with:”

— opening of SKILL.md by RedWoodOG
name
find-nearby
version
1.0.0

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (scripts) in skills/leisure/find-nearby of RedWoodOG/Hermes-Desktop.

  • SKILL.md
  • scripts/find_nearby.py

Open the folder on GitHubat commit be46b39

Compare with similar skills

Find Nearby 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.

Find Nearby compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Find Nearby this skillRedWoodOG/Hermes-Desktop177—~769Automated safety check: PassNone
Dependency Watchtelegramdesktop/tdesktop33k1 repos~2.2kAutomated safety check: PassGPL-3.0
Perform Tasktelegramdesktop/tdesktop33k2 repos~3kAutomated safety check: PassGPL-3.0
Custom Mode Creator for claude-memthedotmack/claude-mem99k—~2.4kAutomated safety check: PassApache-2.0
Continuetelegramdesktop/tdesktop33k2 repos~9.4kAutomated safety check: PassGPL-3.0
Process Inboxtelegramdesktop/tdesktop33k1 repos~5.4kAutomated safety check: PassGPL-3.0

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Works with

Questions about Find Nearby

What does Find Nearby do?

Find nearby places (restaurants, cafes, bars, pharmacies, etc.) using OpenStreetMap. Find Nearby is an agent skill from RedWoodOG/Hermes-Desktop.) using OpenStreetMap.

How do I install Find Nearby in Claude Code?

Run `npx skills add RedWoodOG/Hermes-Desktop --skill find-nearby -a claude-code`. Or copy the skill folder (skills/leisure/find-nearby in RedWoodOG/Hermes-Desktop) into .claude/skills/find-nearby in your project. Claude Code loads it when a task matches its description.

How do I install Find Nearby in Codex?

Run `npx skills add RedWoodOG/Hermes-Desktop --skill find-nearby -a codex`. Or copy the skill folder (skills/leisure/find-nearby in RedWoodOG/Hermes-Desktop) into .agents/skills/find-nearby in your project. Codex loads it when a task matches its description.

Can I use Find Nearby 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 RedWoodOG/Hermes-Desktop --skill find-nearby -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/find-nearby, .gemini/skills/find-nearby, .github/skills/find-nearby and .opencode/skills/find-nearby in your project.

What does Find Nearby need to run?

Going by SKILL.md and its folder, Find Nearby needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Find Nearby access the network?

SKILL.md names 1 domain. In commands or code: google.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Find Nearby 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 Find Nearby use?

No licence was found for Find Nearby or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Find Nearby use?

About 769 tokens (SKILL.md is roughly 3.1k 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 Find Nearby?

Skills that share tags, products or a category with Find Nearby: Dependency Watch (telegramdesktop/tdesktop, 33k stars), Perform Task (telegramdesktop/tdesktop, 33k stars), Custom Mode Creator for claude-mem (thedotmack/claude-mem, 99k stars) and Continue (telegramdesktop/tdesktop, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Find Nearby?

RedWoodOG (a GitHub user) maintains it in RedWoodOG/Hermes-Desktop, which has 177 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on May 30, 2026.

Source: RedWoodOG/Hermes-Desktop on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.