ClawHub

Coffee Prices by City

v1.0.0

Fetch and compare mainstream coffee prices (latte, americano, etc.) from major chains like Starbucks, Luckin, and Cotti for a given Chinese city and output t...

⭐ 0· 245·0 current·0 all-time
by@realank
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
Name/description align with included code and SKILL.md. The script computes reference prices from embedded BASE_PRICES and CITY_TIERS and formats output as markdown/json/csv as advertised. Use of the requests library and an optional IP geolocation lookup is coherent with the advertised 'auto-detect city' feature.
ℹ
Instruction Scope
SKILL.md and the CLI instruct the agent to optionally infer city from IP via https://ipinfo.io/json and to read an optional environment variable OPENCLAW_CITY. The instructions do not access unrelated system files or credentials. Note: OPENCLAW_CITY is used if present but not declared as a required env var (it's optional).
ℹ
Install Mechanism
No registry install spec; this is effectively an instruction-only skill with provided Python scripts and a requirements.txt listing requests>=2.31.0. Installing dependencies via pip will fetch from PyPI (expected). No downloads from untrusted URLs or archives are present.
ℹ
Credentials
The skill does not require credentials or secret environment variables. It does optionally read OPENCLAW_CITY and performs an outbound HTTPS request for IP-based geolocation. The optional env var is reasonable for the feature, but the registry metadata lists no environment variables while the runtime supports one optional variable.
✓
Persistence & Privilege
No elevated persistence requested (always:false). The skill does not modify other skills or system settings and has no install-time hooks in the registry metadata.
Assessment
This skill appears to be what it says: a local Python script that returns city-level reference prices. Before running: (1) review the BASE_PRICES and CITY_TIERS in scripts/coffee_prices.py if you need different values; (2) be aware the script may call https://ipinfo.io/json to auto-detect city when no --city or OPENCLAW_CITY is provided (network access required); (3) installing dependencies will pull the requests package from PyPI—run installs in a virtualenv or sandbox if you prefer; (4) the OPENCLAW_CITY env var is optional (not listed as required), so set it if you want deterministic behavior without external network calls.

Like a lobster shell, security has layers — review code before you run it.

latestvk9773gp7zaarj0xz14axzkems582b61y

License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

Comments