Failure Codifier

SkillMonitoring & ops

Lets your agent analyze workflow logs to find recurring failure patterns and propose rules with confidence scores.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Failure Codifier skill

About this capability

Extract recurring failure patterns from breezing orchestration logs and Judgment Ledger, emit failure-rule.v1 proposals with confidence scores. SSOT promotion to patterns.md or decisions.md is proposal-only — human-approval-required. Use when user mentions failure codifier, failure patterns, self-le

What this skill tells your AI

The instructions your AI receives, as published by chachamaru127/claude-code-harness in skills/failure-codifier/SKILL.md and read by ahel’s review.

breezing orchestration ledger + Judgment Ledger から再現失敗を read-only で抽出し、failure-rule.v1 候補を confidence score 付きで提案します。

核心契約

  • human-approval-required: codifier は dry-run 提案のみ。patterns.md / decisions.md への自動昇格は構造的に禁止。
  • Confidence 閾値: occurrence count ≥ 3 → mediumcount ≥ 5 → highgo/internal/failurecodifier/confidence.go)。
  • 昇格先 heuristic: proposed_ssot_target フィールドで patterns.md または decisions.md提案するのみ

使い方

Dry-run 提案(推奨)

./scripts/failure-codifier-propose.sh --dry-run

stdout は JSON 配列(failure-rule.v1 候補)。SSOT ファイルには一切書き込みません。

Go テスト

cd go && go test ./internal/failurecodifier/... -count=1

参照

禁止事項

  • patterns.md / decisions.md への Write / Edit(human 承認後も codifier 経由では不可)
  • AutoPromote / unattended SSOT 更新
  • Plans.md の cc:* マーカー変更

Signals

GitHub stars
3k
Forks
299
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
failure-codifier
Source
github.com/chachamaru127/claude-code-harness