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Skill evidence / code-assessment
Skill profile

code-assessment

Detect, review, and fix code-quality and correctness issues in an AEM as a Cloud Service project :...

What this skill does for you

Detect, review, and fix code-quality and correctness issues in an AEM as a Cloud Service project : locally, with no external services or network calls. Use whenever a user wants to check, review, assess, audit, scan, modernize, upgrade, or fix AEM Java, Sling Models, OSGi, or Maven code : for example: "check my Sling Models are implemented correctly", "review my @Inject usage", "are my Maven dependencies up to date", "scan this AEM project for issues", "modernize my Sling Models", or "fix code-quality problems". Name the files to assess, or ask it to scan the repo; it detects issues, plans, and : only when you ask : applies surgical edits on a branch or in place, then verifies with mvn compile. It recognises the intent and handles each issue type itself, reporting anything it cannot yet fix.

Quoted from the skill description in the pinned source

Who made it

Publisheradobe
Repositoryskills
Installs404as 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 code-assessment skill from adobe/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.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

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: 27b87ccd7b5b5b6a12d949d8747e25248c2b02fb. Raw findings: 2. 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: 27b87ccd7b5b5b6a12d949d8747e25248c2b02fb. 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: 27b87ccd7b5b5b6a12d949d8747e25248c2b02fb. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/adobe/skills
Pinned skill file
View source at revision
Revision
27b87ccd7b5b5b6a12d949d8747e25248c2b02fb
Package hash
sha256:6a588b8ece60de816f238a5a4ff5b9d917dc63df9972c05577658d1d2456b61b
Licence
Apache-2.0