While traveling, try recreating iconic scenes from classic movies in your photos!
v1.0.0Discover nearby film and TV show shooting locations based on the user's current city and position. Outputs 5 self-contained cases, each with a cinematic scen...
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by@kensonh
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description match what the files and SKILL.md implement: location detection (ipinfo.io), weather lookups, location search, distance filtering (scripts/distance_calc.py), photography parameters, and image generation templates. Declared required tools (WebFetch, WebSearch, ImageGen, AskUserQuestion) align with the described workflow.
Instruction Scope
Instructions explicitly collect approximate location via ipinfo.io and then ask the user for a specific landmark/address and exact coordinates to 6 decimal places. This is necessary for the stated purpose (nearby location search and precise distance calculations) but is privacy-sensitive. The SKILL.md also mandates generating images with 1–2 prominent people; prompts detail appearance and composition. No instructions ask the agent to read unrelated local files, secrets, or system configs.
Install Mechanism
The repository has no registry install spec but includes a cross-platform install.sh that copies the skill into many possible agent config directories (e.g., ~/.claude, .cursor, .github/skills, ~/.agents). The script will remove any existing installation at the target path. Behavior is expected for a local installer, but users should inspect and run it consciously (it writes files to user/project directories).
Credentials
The skill requests no environment variables, no secret tokens, and only uses public web services (ipinfo.io, web search, ImageGen). The required tools listed in metadata match the SKILL.md usage. No unrelated credentials or config paths are requested.
Persistence & Privilege
Skill metadata does not force persistent or universal activation (always:false). The installer can write into multiple agent configuration locations and will delete an existing skill directory at the install path — this grants filesystem write persistence only when the user runs the installer. This is normal for local installers but is a material change to user files and should be acknowledged before running.
Assessment
This skill appears to do what it says: it detects your location (IP), asks you to confirm/provide a precise spot, looks up nearby filming locations, calculates distances with the included Python script, and generates image prompts. Before installing or running it: 1) Review install.sh — it copies files into agent config directories and will remove an existing installation at the target path; run with --dry-run or specify a single platform if unsure. 2) Be aware of privacy: the skill requests your exact location/address/coordinates (sensitive personal data). Only provide precise location if you are comfortable. 3) Image generation templates require 1–2 prominent human characters; consider platform rules and local laws about likeness and copyrighted characters. 4) If you share a repo (e.g., .github), back it up before running the installer. 5) If you want additional assurance, run the skill in a sandbox or inspect files locally and run only the pieces you trust (e.g., use the distance_calc.py solo).Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.