agent-performance-engineer

Expert performance engineer specializing in system optimization.

What this skill does for you

Expert performance engineer specializing in system optimization, bottleneck identification, and scalability engineering. Masters performance testing, profiling, and tuning across applications, databases, and infrastructure with focus on achieving optimal response times and resource efficiency.

Quoted from the skill description in the pinned source

Who made it

Publishertony363

Repositorysuperclaude

Installs447as 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 agent-performance-engineer skill from tony363/superclaude.

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: 6634f8ef5d5e67f17285df4a2c8a361638849c70. 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: 6634f8ef5d5e67f17285df4a2c8a361638849c70. 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: 6634f8ef5d5e67f17285df4a2c8a361638849c70. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/tony363/superclaude
Pinned skill file: View source at revision
Revision: 6634f8ef5d5e67f17285df4a2c8a361638849c70
Package hash: sha256:39c8a5bfb936ddf395cb31136eb0ee3ba8672c69f3bb194472aba7e7b4234153
Licence: MIT