Skill profile

ts-google

Google TypeScript style guide for writing clean.

What this skill does for you

Google TypeScript style guide for writing clean, consistent, type-safe code. This skill should be used when writing, reviewing, or refactoring TypeScript code. Triggers on TypeScript files, type annotations, module imports, class design, and code style decisions.

Quoted from the skill description in the pinned source

Who made it

Publisherpproenca

Repositorydot-skills

Installs361as 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 ts-google skill from pproenca/dot-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: cf93c57cac89d6fc3e4194686000411567f5caf3. 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: cf93c57cac89d6fc3e4194686000411567f5caf3. 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: cf93c57cac89d6fc3e4194686000411567f5caf3. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/pproenca/dot-skills
Pinned skill file: View source at revision
Revision: cf93c57cac89d6fc3e4194686000411567f5caf3
Package hash: sha256:d05ce064fba71f5f051c3c567845a6e993ebffee13409d2361271e8c7c8924a7
Licence: MIT