Skill profile

review

Review code changes on the current branch using checkpoint transcript context to understand developer...

What this skill does for you

Review code changes on the current branch using checkpoint transcript context to understand developer intent before auditing the diff. Use when the user asks for a code review, wants to review branch changes, or asks to audit recent work before merging.

Quoted from the skill description in the pinned source

Who made it

Publisherentireio

Repositoryskills

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 review skill from entireio/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: fe5266f76d846222c73b080ce39fd803dd705198. 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: fe5266f76d846222c73b080ce39fd803dd705198. 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: fe5266f76d846222c73b080ce39fd803dd705198. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/entireio/skills
Pinned skill file: View source at revision
Revision: fe5266f76d846222c73b080ce39fd803dd705198
Package hash: sha256:8d4ab2c9fe7c6bd8c415f79cc47802afa7a9f6f36b9ea7aac0b8841327fc326f
Licence: MIT