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Skill evidence / lynx-trace-analysis
Skill profile

lynx-trace-analysis

Specializes in analyzing Lynx trace data to diagnose performance issues and provide actionable...

What this skill does for you

Specializes in analyzing Lynx trace data to diagnose performance issues and provide actionable optimization strategies. Key Scenarios: - Loading Performance: Diagnosing slow startup metrics (FCP, FMP, TTI) and white screen issues. - Smoothness Analysis: Investigating root causes for scroll jank, frame drops, and interaction lag. - Regression Detection: Comparing traces to identify performance degradation or verify optimization gains between versions. - Pipeline Deep Dive: Pinpointing bottlenecks in specific rendering stages like Layout, Paint, JS execution, and background threads. - Native Module Analysis: Investigating performance issues related to native module calls.

Quoted from the skill description in the pinned source

Who made it

Publisherlynx-community
Repositoryskills
Installs318as 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 lynx-trace-analysis skill from lynx-community/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: 2e7124e336388236f91e1864e1e9fae6594d4f4b. Raw findings: 3. 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: 2e7124e336388236f91e1864e1e9fae6594d4f4b. Raw findings: 14. 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: 2e7124e336388236f91e1864e1e9fae6594d4f4b. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/lynx-community/skills
Pinned skill file
View source at revision
Revision
2e7124e336388236f91e1864e1e9fae6594d4f4b
Package hash
sha256:faa513ca2f3f94707438714c83616bf8a268b7346e44e8f6081c21785e8fbd6b
Licence
Apache-2.0