AI TOOLS/AI 工具·MODEL-INFRA

claw-compactor

open-compress/claw-compactor

中文简介生成中14-stage Fusion Pipeline for LLM token compression — reversible compression, AST-aware code analysis, intelligent content routing. Zero LLM inference cost. MIT licensed.

打开仓库Open repository 官网Homepage

怎么装：Install: pip install claw-compactor

02 / 现在的位置02 / Why now

它现在处在什么位置Where it stands right now

首次发现FIRST SEEN

03 OCT 202603 OCT 2026

增长GROWTH

历史不足Not enough history

只有 1 个快照，还不足以计算增长Only 1 snapshots so far — not enough to compute growth

讨论DISCUSSION

暂无None

还没有采集到外部讨论No external discussion collected yet

状态STATUS

长期未更新Not updated

03 / 它能帮你做什么03 / What it helps you do

它能帮你做成什么What it helps you do

中文能力说明生成中Chinese capability copy is being generated

05 / 安装05 / Install

怎么装How to install

PIP

$

Python 用户的完整版安装，包含命令行工具。The full install for Python users, including the command-line tool.

GIT-CLONE

$

README 里给出的安装方式。The installation method given in the README.

两种装法选一个即可 —— 上面那条给命令行用户，下面那条给写代码的用户。Pick one of the two — the first is for command-line users, the second for people writing code.

06 / 限制与风险06 / Limits and risk

限制与风险Limits and risk

风险不是警告，是可信度的一部分。以下结论只基于文档静态扫描，我们不会执行项目里的任何代码。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.

限制LIMITS

未知Unknown

01需要 API KeyREQUIRES API KEY: 是Yes
02需要本地环境NEEDS LOCAL RUNTIME: 是Yes
03需要 DockerNEEDS DOCKER: 未在文档中发现Not found in the docs
04难度DIFFICULTY: 需要本地环境Needs a local runtime

PROVENANCE · 这些结论的依据是什么Where these conclusions come from

来源 URLSource URL: https://github.com/open-compress/claw-compactor
原始数据哈希Raw data hash: c8764bf266746ab86bb98fa0268d374b
解析时间Parsed at: 2026-10-03T11:00:40.559Z
最后一次验证Last verified: 2026-10-03T10:31:51.693Z
增长测量时间Growth measured: 2026-10-03T11:08:26.014Z
发现查询Discovery queries: focus:token:code:save-tokens, focus:token:code:token-usage
分类来源Category source: rules
焦点Focus: token (16)

完整解析证据 JSONFull parse evidence JSON

{
  "agents": [
    {
      "agent": "claude-code",
      "evidence": "SKILL.md: …ttp://localhost:8403 model: claude-code/sonnet max_tokens: 4096 th…"
    }
  ],
  "apiKey": "environment variables export ANTHROPIC_API_KEY=sk-ant-... # Preferred # or export OP",
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 0,
      "ai-tools": 5,
      "dev-tools": 3,
      "indie-web": 0,
      "skill-agent": 0,
      "productivity": 1
    },
    "primary": "ai-tools",
    "secondary": "model-infra"
  },
  "localRuntime": "install: pip, git-clone",
  "skillMdTotal": 1,
  "skillMdErrors": [],
  "treeTruncated": false,
  "categoryScores": {
    "data": 0,
    "agent": 0,
    "media": 0,
    "design": 0,
    "browser": 0,
    "devtool": 0,
    "security": 0,
    "marketing": 0,
    "productivity": 0
  },
  "classification": [
    {
      "signal": "1 SKILL.md with name + description",
      "weight": 0.95
    },
    {
      "signal": "README describes a Claude / Agent Skill",
      "weight": 0.7
    },
    {
      "signal": "description mentions AI",
      "weight": 0.2
    }
  ],
  "scannedSources": [
    "readme",
    "SKILL.md"
  ],
  "skillMdFetched": 1
}