migration-readiness

Assess a workload's readiness to migrate to AWS by analyzing existing code.

What this skill does for you

Assess a workload's readiness to migrate to AWS by analyzing existing code, dependencies, configurations, and infrastructure to produce evidence-backed findings covering the 7 Rs, risks, and a migration plan.

Quoted from the skill description in the pinned source

Who made it

Publisheraws-samples

Repositorysample-well-architected-skills-and-steering

Installs415as 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 migration-readiness skill from aws-samples/sample-well-architected-skills-and-steering.

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: e81835b1d159cdbd86a44d6bd820bc9914fb86c2. 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: e81835b1d159cdbd86a44d6bd820bc9914fb86c2. 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: e81835b1d159cdbd86a44d6bd820bc9914fb86c2. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/aws-samples/sample-well-architected-skills-and-steering
Pinned skill file: View source at revision
Revision: e81835b1d159cdbd86a44d6bd820bc9914fb86c2
Package hash: sha256:b03257520bc39f37a84e4ac9dfa1289a80d48321ab7269ccfb586a35faa40054
Licence: MIT-0