templates/.claude/skills/omcustom-improve-report/SKILL.md
Read-only report of improvement suggestions from eval-core analysis engine
npx skillsauth add baekenough/oh-my-customcode omcustom-improve-reportInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Display improvement suggestions from eval-core analysis engine as read-only report. No file modifications, no GitHub mutations.
Surface actionable improvement suggestions gathered by the eval-core analysis engine. Reads from eval-core's local database and renders insights as structured markdown. Useful for understanding routing quality, skill effectiveness, and agent usage patterns.
/omcustom:improve-report
command -v eval-core 2>/dev/null || ls node_modules/.bin/eval-core 2>/dev/null
If not found → skip to Step 4 (fallback).
eval-core analyze --format markdown
Count sessions recorded from the output metadata:
| Sessions recorded | Confidence | Behavior |
|-------------------|------------|----------|
| < 5 | [confidence: low] | Show results with message: "최소 5세션 이상의 데이터가 필요합니다. 현재 데이터로도 초기 분석은 가능하지만, 정확도는 제한적입니다." |
| 5–20 | [confidence: medium] | Show results with medium confidence note |
| > 20 | [confidence: high] | Show results normally |
If output contains data → display as structured markdown with confidence annotation prepended.
If command not found OR output is empty:
[omcustom:improve-report] 데이터 없음
eval-core가 설치되어 있지 않거나 아직 충분한 세션 데이터가 수집되지 않았습니다.
eval-core를 설치하거나 더 많은 세션을 진행한 후 다시 실행하세요.
development
Generate and maintain a persistent codebase wiki — LLM-built interlinked markdown knowledge base (Karpathy LLM Wiki pattern)
development
Use the project wiki as RAG knowledge source — search wiki pages to answer codebase questions before exploring raw files
tools
Analyze task trajectories to propose reusable SKILL.md candidates from successful patterns
data-ai
hada.io RSS feed monitoring for AI agent/harness articles with automated /scout analysis