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knowledge-base

Retrieves and updates project-specific prompt knowledge from comparison evidence and user feedback. Use only for prompt analysis or post-comparison learning within a Rashomon evaluation.

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shinpr/rashomon
최근 소스 활동
2026년 8월 30일 22:25
감지된 SKILL.md 언어
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스타
19
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0

설치 방법

기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.

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설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.

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SKILL.md
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name
knowledge-base
description
Retrieves and updates project-specific prompt knowledge from comparison evidence and user feedback. Use only for prompt analysis or post-comparison learning within a Rashomon evaluation.
user-invocable
false
# Knowledge Base Skill ## Storage Location ``` {project_root}/.claude/.rashomon/prompt-knowledge.yaml ``` ## Schema ```yaml patterns: - name: "Pattern name" what_to_look_for: | When this pattern applies improvement: | How to improve when detected learned_from: "Date and context" source: "comparison ID, report path, or user feedback" source_fingerprint: "stable hash or revision identifying the evidence" validity_scope: "project area, version range, or conditions where this applies" last_verified: "ISO-8601 timestamp" invalidated_when: "observable condition that requires revalidation" confidence: 0.0-1.0 times_applied: 0 anti_patterns: - name: "Anti-pattern name" what_to_look_for: | What to avoid why_bad: | Why problematic in this project learned_from: "Date and context" source: "comparison ID, report path, or user feedback" source_fingerprint: "stable hash or revision identifying the evidence" validity_scope: "project area, version range, or conditions where this applies" last_verified: "ISO-8601 timestamp" invalidated_when: "observable condition that requires revalidation" confidence: 0.0-1.0 times_applied: 0 metadata: last_updated: "ISO-8601 timestamp" total_comparisons: 0 patterns_count: 0 anti_patterns_count: 0 max_entries: 20 ``` ## Extraction Criteria ### Save as Improvement Pattern **ALL conditions must be true**: - Optimized prompt showed **structural improvement** (not variance) - Improvement is **project-specific** (not explained by BP-001~009) - Pattern is likely to **recur** in this project **Confidence Assignment**: | Evidence | Confidence | |----------|------------| | Multiple comparisons confirmed | 0.8+ | | Single comparison, clear effect | 0.5-0.7 | | Effect present but uncertain | 0.3-0.5 | **Minimum threshold**: 0.3 (entries below this are skipped) ### Save as Anti-Pattern **ALL conditions must be true**: - Original had problem **specific to this project** - Problem is **project-specific** (beyond standard patterns BP-001~009) - Problem **likely to recur** ### Extraction Scope Save only entries that are: - Project-specific (beyond standard best practices BP-001~009) - Likely to recur in this project - Showing clear effect (structural improvement, confidence ≥ 0.3) ## Capacity Management **Maximum**: 20 entries (patterns + anti_patterns combined) **Retention Score**: `confidence * (1 + log(times_applied + 1))` This formula: - Prioritizes high-confidence entries - Rewards frequently-used patterns - Applies no direct age penalty; validity is evaluated separately Age alone does not reduce retention. Before scoring, revalidate an entry when its `invalidated_when` condition is observed or its source fingerprint no longer matches. An entry with unresolved validity is excluded from retrieval until verified. **Eviction Process**: 1. Calculate retention scores for all entries 2. Calculate score for new candidate 3. If new > lowest existing: remove lowest, add new 4. Otherwise: skip new entry ## Operations ### Retrieval At start of prompt analysis: 1. Read `.claude/.rashomon/prompt-knowledge.yaml` (if exists) 2. Exclude entries whose validity condition is triggered or whose source fingerprint is stale 3. For each valid entry, check `what_to_look_for` against current prompt 4. Return relevant entries with relevance scores and provenance Retrieval is read-only. It records proposed entry IDs in the prompt-analysis result; it does not increment counters or write the knowledge file. ### Storage After a comparison and user feedback confirm how an entry affected execution: 1. Evaluate against extraction criteria 2. Generate candidate entries 3. Check for duplicates 4. Increment `times_applied` for each valid entry whose use is confirmed by the report 5. Revalidate source fingerprints and validity conditions 6. Apply capacity management 7. Write updated knowledge base 8. Update metadata ## Example Entry ```yaml patterns: - name: "TypeScript interface reference" what_to_look_for: | Code generation prompts creating TypeScript types without referencing existing type definitions in src/types/ improvement: | Add: "Reference existing types in src/types/ to maintain consistency and avoid duplicate type definitions" learned_from: "2026-01-14: Comparison showed better type reuse" source: "comparison: cmp-20260114-types" source_fingerprint: "git:abc123:src/types" validity_scope: "TypeScript generation under src/" last_verified: "2026-01-14T12:00:00Z" invalidated_when: "src/types is removed or its public type policy changes" confidence: 0.7 times_applied: 3 ``` ## Feedback-Based Adjustments When comparison results require knowledge base updates: **Confidence Adjustments**: - User confirms improvement: +0.1 (cap at 0.95) - Pattern led to worse result: -0.2 - Remove entry if confidence < 0.2 after decrease **Entry Management**: - Add new entries from user insight (initial confidence: 0.5) - Remove entries that fall below confidence threshold
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