connector-weatherapi

MANDATORY recipe for every Caffeine build.

What this skill does for you

MANDATORY recipe for every Caffeine build that reads weather data from a canister. The supported path is the `weatherapi-client` mops package (WeatherAPI.com) over outbound HTTPS, authenticated with a query-string API key. Hand-rolling `ic.http_request` calls to `api.weatherapi.com` is a FORBIDDEN anti-pattern : it bypasses the non-replicated-outcall safeguard (WeatherAPI bodies carry per-request clocks and fail consensus), the generated JSON decoding, and the API-key handling. Load this skill whenever the user, spec, or any prior task mentions weather, forecast, temperature, humidity, wind, rain, snow, conditions, sunrise, sunset, moon phase, astronomy, timezone, IP geolocation, marine or tide forecasts, or location autocomplete : and BEFORE writing any code that touches a weather endpoint.

Quoted from the skill description in the pinned source

Who made it

Publishercaffeinelabs

Repositoryskills

Installs1,800as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the connector-weatherapi skill from caffeinelabs/skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: e5cacdfe5ce55e939edb02980fca800c0c13f421. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: e5cacdfe5ce55e939edb02980fca800c0c13f421. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: e5cacdfe5ce55e939edb02980fca800c0c13f421. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/caffeinelabs/skills
Pinned skill file: View source at revision
Revision: e5cacdfe5ce55e939edb02980fca800c0c13f421
Package hash: sha256:a97afc00d99cc1de48c685ed4ed204188593bc7bfba20d93dc92d666eb7fa7b1
Licence: Apache-2.0