hinanohart/faithful-echo
Detect where the LLM softened, paraphrased, hedged, or numerically rounded the user's original wording. Claude Code agent + CLI.
SUMMARY AI要約 by gpt-5-mini
faithful-echo is a small, independent post-hoc tool that detects where an LLM softened, paraphrased, hedged, or numerically rounded user wording. It classifies differences along seven deterministic drift types (entity, numeric, quantifier, hedge, abstraction, subject swap, tone smoothing) so humans or automated gates can decide which matter. Who uses it: prompt engineers, reviewers, QA/MLOps, or anyone integrating Claude Code agents who need deterministic drift diagnosis (not rewriting or fact‑checking). Key features: standalone Node (≥20) CLI and Claude Code agent, TypeScript programmatic API, per-rule modules, locale-aware small dictionaries (en/ja), task modes (verbatim_quote, paraphrase, summarize, translate) that control strictness, pretty/json output, exit codes by severity, and an overrideable dictionaries dir. Limitations: heuristic (regex/dictionaries), bilingual coverage, not a rewriter or semantic fact-checker.
DETECTED 検出されたAIスタック
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使用言語(バイト数比)
オーナー情報
I prefer anmitsu with ice cream on top, preferably vanilla flavor.
日付
| GitHub作成日 | 2026-05-08 |
| 最終Push | 2026-05-09 |
| 当サイト初検出 | 2026-05-09 |
| 最終取得 | 2026-05-09 18:15 |
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