prompt-compresslisted

Numeric-aware prompt compression for long ENGLISH prose you're about to feed another LLM — meeting transcripts, paper intros/discussion, web-article bodies, logs. Uses LLMLingua-2 (local, CPU, no API) but FIRST triages numeric-sentence density: if the document is number-heavy (FEA results, datasheets, spec tables, PN lists), it REFUSES to compress, because protecting the numbers caps the ratio near 1.3x and blind compression silently corrupts figures ("13,700 MPa"->"13,000"). Number-bearing sentences are protected verbatim (≈100% numeric recall); only the prose between them is compressed. Use when you have a large low-numeric-density English text blob to shrink before sending to a model. Triggers: "이 컨텍스트 압축", "프롬프트 토큰 줄여줘", "긴 문서 압축해서 넣어줘", "llmlingua", "compress this context". NOT for: spec/datasheet/results tables (it'll refuse), Korean text (compressor is English/MeetingBank-trained — quality unverified), or static repeated context (prompt caching is the lossless, cheaper answer there).
jsb4702-glitch/verification-harness · ★ 7 · AI & Automation · score 76

Install: claude install-skill jsb4702-glitch/verification-harness

# prompt-compress Selective, numeric-safe LLM prompt compression with a density triage gate. ## When to reach for this - You have a **long English prose blob** (transcript, article, paper section, log) headed into another LLM and want to cut input tokens. - The text is **narrative-heavy, number-light**. That's the sweet spot: protecting numbers costs almost nothing and you still get 2.5–3x. ## When NOT to (the gate enforces this) - **Number-dense docs** (FEA results, datasheets, MIL-STD tables, BOM/PN lists): the tool refuses. Protected numeric span becomes a non-compressible floor (Amdahl) — measured 58%-numeric FEA paper caps at 1.72x ceiling, real ~1.45x. Just send raw text. - **Static / repeated context** (system prompts, CLAUDE.md, fixed docs): use **prompt caching** — lossless and cheaper than any compression. - **Korean / non-English**: the mBERT compressor is MeetingBank(EN)-trained; Korean compression quality is unverified. Triage still works; compression risky. ## Why the gate exists (measured, not asserted) Blind LLMLingua-2 on an ankle-FEA paper (394 numeric tokens): | mode | ratio | numeric recall | |------|-------|----------------| | blind rate=0.33 | 3.3x | **29.9%** (silent loss) | | protect-numbers rate=0.33 | 1.45x | **100%** | | ceiling (protected verbatim) | 1.72x | 100% | Blind compression mangled "13,700 MPa" -> "13,000 MPa" with no error. Protection fixes recall but the ratio collapses *because* the doc is number-heavy — which is exa