bccard-eatpl-search

대한민국 맛집, 음식점, 식당, 밥집, 카페, 커피, 디저트, 고깃집, 회식 장소를 지역·역·동네 기준으로 찾아 준다.

What this skill does for you

대한민국 맛집, 음식점, 식당, 밥집, 카페, 커피, 디저트, 고깃집, 회식 장소를 지역·역·동네 기준으로 찾아 준다. Use when the user asks for 맛집, 음식점, 좋은 식당, 근처 카페, 밥 먹을 곳, 회식하기 좋은 곳, 분위기 좋은 맛집, or Korean restaurant and cafe recommendations. 별점이 아니라 최근 결제 데이터 기반 매출 상위로 정리한다.

Quoted from the skill description in the pinned source

Who made it

Publishernomadamas

Repositoryk-skill

Installs636as 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 bccard-eatpl-search skill from nomadamas/k-skill.

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: 9fade13b1066bc58fd820fe659145a9a21974138. Raw findings: 1. 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: 9fade13b1066bc58fd820fe659145a9a21974138. Raw findings: . 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: 9fade13b1066bc58fd820fe659145a9a21974138. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/nomadamas/k-skill
Pinned skill file: View source at revision
Revision: 9fade13b1066bc58fd820fe659145a9a21974138
Package hash: sha256:75d308afe59835acd7b8835ecea555acb67f3d70e782cc4d765696a85f6792de
Licence: MIT