Skill 与 AgentSKILLS & AGENTS· MCP-SERVER

entroly

juyterman1000/entroly

Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.

根据公开文档整理，未运行实测；费用以项目官网为准。Based on public documentation, without runtime testing. Check the project site for pricing.

适用平台Platforms: claude-code · codex · cursor · gemini-cli · vscode · opencode · copilot
已识别的要求Documented requirements: API key · Local runtime
许可LICENSE: Apache-2.0

打开仓库Open repository 官网Homepage

能力CAPABILITIES

它能帮你做成什么What it helps you do

上手GET STARTED

怎么装How to install

NPX

npx -y entroly@latest --help

选择与你的环境对应的方式。命令来自项目文档，未运行实测。Choose the option for your environment. Commands come from project documentation and have not been run-tested.

打开项目文档Open project documentation ↗

使用限制LIMITATIONS

限制与风险Limits and risk

以下要求与风险来自文档静态检查，未执行项目代码；扫描没有命中，不代表使用安全。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

项目动态PROJECT ACTIVITY

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

+0.4%+0.4%

472 → 474 stars · 8 个快照472 → 474 stars · 8 snapshots

状态STATUS

持续活跃Active

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

来源 URLSource URL: https://github.com/juyterman1000/entroly
原始数据哈希Raw data hash: 2b4f719efc33afee249eb22325487ad3
解析时间Parsed at: 2026-10-10T23:39:25.727Z
最后一次验证Last verified: 2026-10-10T22:10:48.059Z
增长测量时间Growth measured: 2026-10-10T23:41:53.363Z
发现查询Discovery queries: focus:token:repo:topic-context-engineering, focus:token:repo:topic-token-optimization
分类来源Category source: rules
焦点Focus

完整解析证据 JSONFull parse evidence JSON

{
  "agents": [
    {
      "agent": "claude-code",
      "evidence": "tree: .claude/"
    },
    {
      "agent": "codex",
      "evidence": "readme: …c after plugin enablement | | Codex CLI / app | Bundled `UserPromptSu…"
    },
    {
      "agent": "cursor",
      "evidence": "readme: …tes corrections to CLAUDE.md, .cursorrules, and other agent configs. Ru…"
    },
    {
      "agent": "gemini-cli",
      "evidence": "readme: …**\"I use Claude Code, Codex, Gemini CLI, or VS Code agent plugins.\"**…"
    },
    {
      "agent": "vscode",
      "evidence": "readme: …table receipts. Works through VS Code, Claude Code, Cursor, Codex,…"
    },
    {
      "agent": "opencode",
      "evidence": "readme: …tegration-hub.md#openclaw) · [OpenCode](docs/integration-hub.md#open…"
    },
    {
      "agent": "copilot",
      "evidence": "readme: …ode, Cursor, Codex, OpenClaw, GitHub Copilot, Aider, and OpenAI/Anthropic-…"
    }
  ],
  "apiKey": "readme_benchmarks.py` (needs `OPENAI_API_KEY`).</sub> **Being straight with you:**",
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 0,
      "ai-tools": 3,
      "dev-tools": 0,
      "indie-web": 0,
      "skill-agent": 9,
      "productivity": 7
    },
    "primary": "skill-agent",
    "secondary": "mcp-server"
  },
  "localRuntime": "troly simulate ``` <sub>Both run locally. Neither calls an AI or proves answer q",
  "skillMdTotal": 6,
  "skillMdErrors": [],
  "treeTruncated": false,
  "categoryScores": {
    "data": 0,
    "agent": 0,
    "media": 0,
    "design": 0,
    "browser": 0,
    "devtool": 0,
    "security": 0,
    "marketing": 0,
    "productivity": 0
  },
  "classification": [
    {
      "signal": "6 SKILL.md with name + description",
      "weight": 0.95
    },
    {
      "signal": "server.json (MCP registry manifest)",
      "weight": 0.85
    },
    {
      "signal": "python dependency on mcp / fastmcp + MCP framing",
      "weight": 0.8
    },
    {
      "signal": "skills/ directory with 1 markdown files",
      "weight": 0.75
    },
    {
      "signal": "Claude Code plugin manifest",
      "weight": 0.7
    },
    {
      "signal": "README ships an mcpServers config for this server",
      "weight": 0.7
    },
    {
      "signal": "MCP topic + README",
      "weight": 0.6
    },
    {
      "signal": ".mcp.json (configures servers it uses)",
      "weight": 0.3
    },
    {
      "signal": "description mentions AI",
      "weight": 0.2
    }
  ],
  "scannedSources": [
    "readme",
    ".agents/plugins/entroly/skills/entroly-context-control/SKILL.md",
    ".agents/skills/entroly-lobehub-audit/SKILL.md",
    "entroly/npm-alias/skills/entroly-evidence-operations/SKILL.md",
    "integrations/codex/entroly/skills/entroly-evidence-operations/SKILL.md",
    "integrations/gemini/entroly/skills/entroly-evidence-operations/SKILL.md",
    "skills/entroly-evidence-operations/SKILL.md"
  ],
  "skillMdFetched": 6
}