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Skill evidence / 163-java-profiling-refactor
Skill profile

163-java-profiling-refactor

Use when you need to refactor Java code based on trusted profiling analysis findings : including...

What this skill does for you

Use when you need to refactor Java code based on trusted profiling analysis findings : including reviewing repository-owned or maintainer-sanitized docs/profiling-problem-analysis and docs/profiling-solutions files, identifying specific performance bottlenecks, and implementing targeted code changes to address CPU, memory, or threading issues. This should trigger for requests such as Refactor the code with profiling; Apply profiling; Optimize hot path; Reduce allocations found in profiling; Fix CPU bottlenecks from profiling analysis. Part of Plinth Toolkit

Quoted from the skill description in the pinned source

Who made it

Publisherjabrena
Repositoryplinth
Installs287as 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 163-java-profiling-refactor skill from jabrena/plinth.

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: 9569c35d7cf6b5679a41492f01a44a9e7a1dac33. 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: 9569c35d7cf6b5679a41492f01a44a9e7a1dac33. 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: 9569c35d7cf6b5679a41492f01a44a9e7a1dac33. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/jabrena/plinth
Pinned skill file
View source at revision
Revision
9569c35d7cf6b5679a41492f01a44a9e7a1dac33
Package hash
sha256:492a7db77ef1ca386f7e34ae6159862fef324e84833aa71ffc6648fbf83aac37
Licence
Apache-2.0