slm-compress

仓库创建 2026年2月5日最近提交 1 天前SkillHot 收录 8 小时前

▸ 精选理由

在大上下文场景下既能保留关键信息又显著减小占用，实用性高。

这个 Skill 做什么

对长文本或工具输出进行可逆或有损压缩以节省上下文窗口空间。

把长文本或工具输出压缩，节省对话上下文窗口空间，可以做可逆或有损压缩以保留更多工作区。用在会话、日志或转录太长、影响后续理解或快要超限时调用。若有损压缩会返回 ccr_id，可用 slm_retrieve(ccr_id) 恢复原文；出错时要保证降级继续（不会中断流程）。

▸ 展开 SKILL.md 英文原文

Compress large text, tool output, or transcripts to reduce context-window usage while keeping the full 1M window intact — call slm_compress(content, mode, reversible, ttl_seconds) to shrink content; if the result is lossy a ccr_id is returned so you can call slm_retrieve(ccr_id) later to recover the exact original; always fail-open (ok:false → continue with the original).

开发编程上下文压缩可逆压缩长上下文通用

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帮我安装这个 skill：https://raw.githubusercontent.com/qualixar/superlocalmemory/main/codex-plugin/skills/slm-compress/SKILL.md

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curl -fsSL "https://raw.githubusercontent.com/qualixar/superlocalmemory/main/codex-plugin/skills/slm-compress/SKILL.md"

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# slm-compress — Reversible Context Compression (Surface B)

## Purpose

When a tool output, transcript, or accumulated context grows large enough to crowd out working space, `slm_compress` reduces it in-place. The compressed form is used for the remainder of the session; the exact original is recoverable on demand via `slm_retrieve`. This works without a proxy and without touching `ANTHROPIC_BASE_URL`, so the full 1M context window is never sacrificed.

## Primary MCP Tool: slm_compress

```
slm_compress(
    content:      str,          # required — text to compress (max 1 MB)
    mode:         str = "auto",  # "normalize" | "auto" | "aggressive"
    reversible:   bool = True,  # store orig

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