بنقرة واحدة
omcustom-improve-report
Read-only report of improvement suggestions from eval-core analysis engine
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Read-only report of improvement suggestions from eval-core analysis engine
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Invoke and resume YAML-defined pipelines by name — /pipeline auto-dev runs the full release pipeline
Full Self Driving — autonomous release loop that processes all auto-dev-eligible GitHub issues until none remain, by repeatedly running /pipeline auto-dev then /homework.
On explicit /homework invocation, analyze the current and linked previous sessions, extract mistakes (찐빠), and report them via omcustom-feedback with a confirmation gate. Auto-activation on session cleanup/session-end signals is OPT-IN (default OFF) — requires an explicit project/user directive. Use when explicitly auditing recent work for harness gaps.
hada.io RSS feed monitoring for AI agent/harness articles with automated /scout analysis
Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
Auto-detect project context and optimize harness — deactivate unused agents/skills, suggest missing experts, generate project profile
| name | omcustom-improve-report |
| description | Read-only report of improvement suggestions from eval-core analysis engine |
| scope | harness |
| user-invocable | true |
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.